support video uploads through the interface
This commit is contained in:
Abi Raja
parent
c2f230a8c9
commit
4937a92f42
7
backend/custom_types.py
Normal file
7
backend/custom_types.py
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@ -0,0 +1,7 @@
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from typing import Literal
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InputMode = Literal[
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"image",
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"video",
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]
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@ -1,12 +1,20 @@
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import asyncio
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from typing import Awaitable, Callable
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from custom_types import InputMode
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async def mock_completion(process_chunk: Callable[[str], Awaitable[None]]) -> str:
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code_to_return = NO_IMAGES_NYTIMES_MOCK_CODE
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for i in range(0, len(code_to_return), 10):
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await process_chunk(code_to_return[i : i + 10])
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async def mock_completion(
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process_chunk: Callable[[str], Awaitable[None]], input_mode: InputMode
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) -> str:
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code_to_return = (
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MORTGAGE_CALCULATOR_VIDEO_PROMPT_MOCK
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if input_mode == "video"
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else NO_IMAGES_NYTIMES_MOCK_CODE
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)
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for i in range(0, len(code_to_return), 100):
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await process_chunk(code_to_return[i : i + 100])
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await asyncio.sleep(0.01)
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return code_to_return
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@ -206,3 +214,232 @@ NO_IMAGES_NYTIMES_MOCK_CODE = """
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</body>
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</html>
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"""
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MORTGAGE_CALCULATOR_VIDEO_PROMPT_MOCK = """
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<thinking>
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The user flow in the video seems to be:
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1. The calculator starts with some default values for loan amount, loan term, interest rate, etc.
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2. The user toggles the "Include taxes & fees" checkbox which shows an explanation tooltip.
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3. The user selects different loan terms from the dropdown, which updates the monthly payment amount.
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4. The user enters a custom loan amount.
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5. The user selects a different loan term (30-yr fixed FHA).
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6. The user enters additional details like home price, down payment, state, credit score, property tax, home insurance, and HOA fees.
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7. The calculator updates the total monthly payment breakdown.
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To build this:
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- Use a container div for the whole calculator
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- Have sections for Monthly Payment, Purchase Budget, loan details, additional costs
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- Use input fields, dropdowns, and checkboxes for user input
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- Update values dynamically using JavaScript when inputs change
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- Show/hide explanation tooltip when checkbox is toggled
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- Update monthly payment whenever loan amount, interest rate or term is changed
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- Allow selecting loan term from a dropdown
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- Update total monthly payment breakdown as additional costs are entered
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- Style everything to match the screenshots using Tailwind utility classes
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</thinking>
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<html>
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<head>
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<script src="https://cdn.tailwindcss.com"></script>
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<script src="https://code.jquery.com/jquery-3.7.1.min.js"></script>
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<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.15.3/css/all.min.css">
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</head>
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<body>
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<div class="max-w-lg mx-auto bg-white shadow-lg rounded-lg p-6 font-sans">
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<div class="text-2xl font-semibold mb-6">Mortgage Calculator</div>
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<div class="flex justify-between text-sm uppercase font-semibold text-gray-500 border-b mb-4">
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<div class="pb-2 border-b-2 border-blue-500">Monthly payment</div>
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<div class="pb-2">Purchase budget</div>
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</div>
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<div class="flex items-center mb-4">
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<input type="checkbox" class="mr-2 taxes-toggle" id="taxesToggle">
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<label for="taxesToggle" class="text-sm">Include taxes & fees</label>
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<i class="fas fa-info-circle ml-1 text-gray-400 cursor-pointer" id="taxesInfo"></i>
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<div class="hidden bg-gray-100 text-xs p-2 ml-2 rounded" id="taxesTooltip">Your total monthly payment is more than just your mortgage. It can include property taxes, homeowners insurance, and HOA fees, among other things.</div>
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</div>
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<div class="text-3xl font-semibold mb-4">$<span id="monthlyPayment">1,696</span></div>
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<div class="mb-4">
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<div class="text-sm font-semibold mb-2">Loan amount</div>
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<input type="text" value="240,000" class="w-full border rounded px-2 py-1 text-lg" id="loanAmount">
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</div>
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<div class="mb-4">
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<div class="text-sm font-semibold mb-2">Loan term</div>
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<select class="w-full border rounded px-2 py-1 text-lg" id="loanTerm">
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<option>30-yr fixed</option>
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<option>30-yr fixed FHA</option>
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<option>30-yr fixed VA</option>
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<option>30-yr fixed USDA</option>
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<option>20-yr fixed</option>
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<option>15-yr fixed</option>
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<option>10 / 6 ARM</option>
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<option>7 / 6 ARM</option>
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<option>5 / 6 ARM</option>
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<option>3 / 6 ARM</option>
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</select>
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</div>
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<div class="flex justify-between mb-4">
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<div>
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<div class="text-sm font-semibold mb-2">Interest</div>
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<div class="text-lg">7.61 %</div>
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</div>
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<i class="fas fa-info-circle text-gray-400 cursor-pointer self-center"></i>
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</div>
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<div class="border-t pt-4">
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<div class="mb-4">
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<div class="text-sm font-semibold mb-2">Home price</div>
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<input type="text" value="300,000" class="w-full border rounded px-2 py-1 text-lg" id="homePrice">
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</div>
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<div class="mb-4">
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<div class="text-sm font-semibold mb-2">Down payment</div>
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<div class="flex">
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<input type="text" value="60,000" class="w-full border rounded-l px-2 py-1 text-lg" id="downPayment">
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<div class="bg-gray-200 rounded-r px-4 py-1 text-lg flex items-center">20 %</div>
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</div>
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</div>
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</div>
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<div class="border-t pt-4">
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<div class="mb-4">
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<div class="text-sm font-semibold mb-2">State</div>
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<select class="w-full border rounded px-2 py-1 text-lg" id="state">
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<option>New York</option>
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</select>
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</div>
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<div class="mb-4">
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<div class="text-sm font-semibold mb-2">Credit score</div>
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<select class="w-full border rounded px-2 py-1 text-lg" id="creditScore">
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<option>700 - 719</option>
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</select>
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</div>
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</div>
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<div class="border-t pt-4">
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<div class="mb-4">
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<div class="text-sm font-semibold mb-2">Property tax (yearly)</div>
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<input type="text" value="3,750" class="w-full border rounded px-2 py-1 text-lg" id="propertyTax">
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</div>
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<div class="mb-4">
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<div class="text-sm font-semibold mb-2">Home insurance (yearly)</div>
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<input type="text" value="1,050" class="w-full border rounded px-2 py-1 text-lg" id="homeInsurance">
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</div>
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<div class="mb-4">
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<div class="text-sm font-semibold mb-2">Private mortgage insurance (monthly)</div>
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<input type="text" value="0" class="w-full border rounded px-2 py-1 text-lg" id="mortgageInsurance">
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</div>
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<div class="mb-4">
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<div class="text-sm font-semibold mb-2">Homeowners association (monthly)</div>
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<input type="text" value="0" class="w-full border rounded px-2 py-1 text-lg" id="hoaFees">
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</div>
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</div>
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<div class="flex justify-between pt-4">
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<div class="text-sm">
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<div class="font-semibold">Total monthly payment</div>
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<div class="text-3xl font-semibold">$<span id="totalPayment">2,036</span></div>
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</div>
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<div class="text-right">
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<div class="text-sm">Loan</div>
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<div class="text-lg">$<span id="loanPayment">1,635</span></div>
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<div class="text-sm">Taxes & fees</div>
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<div>$<span id="taxesPayment">401</span></div>
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</div>
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</div>
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<div class="text-xs text-gray-500 mt-4">
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<div>Disclaimer • Feedback</div>
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</div>
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</div>
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<script>
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$(document).ready(function() {
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var loanAmount = 240000;
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var interestRate = 7.61;
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var loanTerm = 30;
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var homePrice = 300000;
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var downPayment = 60000;
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var propertyTax = 3750;
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var homeInsurance = 1050;
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var mortgageInsurance = 0;
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var hoaFees = 0;
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function updateCalculations() {
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var principal = loanAmount;
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var monthlyInterest = interestRate / 100 / 12;
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var numPayments = loanTerm * 12;
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var monthlyPayment = principal * monthlyInterest / (1 - (Math.pow(1/(1 + monthlyInterest), numPayments)));
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var totalPayment = monthlyPayment;
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var taxesPayment = (propertyTax + homeInsurance) / 12;
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if ($('#taxesToggle').is(':checked')) {
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totalPayment += taxesPayment + mortgageInsurance + hoaFees;
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}
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$('#monthlyPayment').text(Math.round(monthlyPayment).toLocaleString());
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$('#loanPayment').text(Math.round(monthlyPayment).toLocaleString());
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$('#taxesPayment').text(Math.round(taxesPayment + mortgageInsurance + hoaFees).toLocaleString());
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$('#totalPayment').text(Math.round(totalPayment).toLocaleString());
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}
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$('#taxesInfo').hover(function() {
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$('#taxesTooltip').removeClass('hidden');
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}, function() {
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$('#taxesTooltip').addClass('hidden');
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});
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$('#loanTerm').change(function() {
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loanTerm = parseInt($(this).val().split('-')[0]);
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updateCalculations();
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});
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$('#loanAmount').change(function() {
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loanAmount = parseInt($(this).val().replace(/,/g, ''));
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updateCalculations();
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});
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$('#homePrice').change(function() {
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homePrice = parseInt($(this).val().replace(/,/g, ''));
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loanAmount = homePrice - downPayment;
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$('#loanAmount').val(loanAmount.toLocaleString());
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updateCalculations();
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});
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$('#downPayment').change(function() {
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downPayment = parseInt($(this).val().replace(/,/g, ''));
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loanAmount = homePrice - downPayment;
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$('#loanAmount').val(loanAmount.toLocaleString());
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updateCalculations();
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});
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$('#propertyTax').change(function() {
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propertyTax = parseInt($(this).val().replace(/,/g, ''));
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updateCalculations();
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});
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$('#homeInsurance').change(function() {
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homeInsurance = parseInt($(this).val().replace(/,/g, ''));
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updateCalculations();
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});
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$('#mortgageInsurance').change(function() {
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mortgageInsurance = parseInt($(this).val().replace(/,/g, ''));
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updateCalculations();
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});
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$('#hoaFees').change(function() {
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hoaFees = parseInt($(this).val().replace(/,/g, ''));
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updateCalculations();
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});
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updateCalculations();
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});
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</script>
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</body>
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</html>
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"""
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419
backend/poetry.lock
generated
419
backend/poetry.lock
generated
@ -2,13 +2,13 @@
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[[package]]
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name = "anthropic"
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version = "0.18.0"
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version = "0.18.1"
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description = "The official Python library for the anthropic API"
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optional = false
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python-versions = ">=3.7"
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files = [
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{file = "anthropic-0.18.0-py3-none-any.whl", hash = "sha256:af2a65a48ba4661e3902b49f96710d168782af9deb06d58c12f25e53448fb570"},
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{file = "anthropic-0.18.0.tar.gz", hash = "sha256:80a6134f6562792be8ec30f743e2211476cb1e1f59b01795b901f099ae854825"},
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{file = "anthropic-0.18.1-py3-none-any.whl", hash = "sha256:b85aee64f619ce1b1964ba733a09adc4053e7bc4e6d4186001229ec191099dcf"},
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{file = "anthropic-0.18.1.tar.gz", hash = "sha256:f5d1caafd43f6cc933a79753a93531605095f040a384f6a900c3de9c3fb6694e"},
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]
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[package.dependencies]
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@ -26,52 +26,56 @@ vertex = ["google-auth (>=2,<3)"]
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[[package]]
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name = "anyio"
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version = "3.7.1"
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version = "4.3.0"
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description = "High level compatibility layer for multiple asynchronous event loop implementations"
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optional = false
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python-versions = ">=3.7"
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python-versions = ">=3.8"
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files = [
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{file = "anyio-3.7.1-py3-none-any.whl", hash = "sha256:91dee416e570e92c64041bd18b900d1d6fa78dff7048769ce5ac5ddad004fbb5"},
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{file = "anyio-3.7.1.tar.gz", hash = "sha256:44a3c9aba0f5defa43261a8b3efb97891f2bd7d804e0e1f56419befa1adfc780"},
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{file = "anyio-4.3.0-py3-none-any.whl", hash = "sha256:048e05d0f6caeed70d731f3db756d35dcc1f35747c8c403364a8332c630441b8"},
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{file = "anyio-4.3.0.tar.gz", hash = "sha256:f75253795a87df48568485fd18cdd2a3fa5c4f7c5be8e5e36637733fce06fed6"},
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]
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[package.dependencies]
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exceptiongroup = {version = "*", markers = "python_version < \"3.11\""}
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exceptiongroup = {version = ">=1.0.2", markers = "python_version < \"3.11\""}
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idna = ">=2.8"
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sniffio = ">=1.1"
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typing-extensions = {version = ">=4.1", markers = "python_version < \"3.11\""}
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[package.extras]
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doc = ["Sphinx", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme (>=1.2.2)", "sphinxcontrib-jquery"]
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test = ["anyio[trio]", "coverage[toml] (>=4.5)", "hypothesis (>=4.0)", "mock (>=4)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "uvloop (>=0.17)"]
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trio = ["trio (<0.22)"]
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doc = ["Sphinx (>=7)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme"]
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test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "uvloop (>=0.17)"]
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trio = ["trio (>=0.23)"]
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[[package]]
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name = "beautifulsoup4"
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version = "4.12.2"
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version = "4.12.3"
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description = "Screen-scraping library"
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optional = false
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python-versions = ">=3.6.0"
|
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files = [
|
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{file = "beautifulsoup4-4.12.2-py3-none-any.whl", hash = "sha256:bd2520ca0d9d7d12694a53d44ac482d181b4ec1888909b035a3dbf40d0f57d4a"},
|
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{file = "beautifulsoup4-4.12.2.tar.gz", hash = "sha256:492bbc69dca35d12daac71c4db1bfff0c876c00ef4a2ffacce226d4638eb72da"},
|
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{file = "beautifulsoup4-4.12.3-py3-none-any.whl", hash = "sha256:b80878c9f40111313e55da8ba20bdba06d8fa3969fc68304167741bbf9e082ed"},
|
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{file = "beautifulsoup4-4.12.3.tar.gz", hash = "sha256:74e3d1928edc070d21748185c46e3fb33490f22f52a3addee9aee0f4f7781051"},
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]
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[package.dependencies]
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soupsieve = ">1.2"
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[package.extras]
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cchardet = ["cchardet"]
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chardet = ["chardet"]
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charset-normalizer = ["charset-normalizer"]
|
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html5lib = ["html5lib"]
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lxml = ["lxml"]
|
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|
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[[package]]
|
||||
name = "certifi"
|
||||
version = "2023.11.17"
|
||||
version = "2024.2.2"
|
||||
description = "Python package for providing Mozilla's CA Bundle."
|
||||
optional = false
|
||||
python-versions = ">=3.6"
|
||||
files = [
|
||||
{file = "certifi-2023.11.17-py3-none-any.whl", hash = "sha256:e036ab49d5b79556f99cfc2d9320b34cfbe5be05c5871b51de9329f0603b0474"},
|
||||
{file = "certifi-2023.11.17.tar.gz", hash = "sha256:9b469f3a900bf28dc19b8cfbf8019bf47f7fdd1a65a1d4ffb98fc14166beb4d1"},
|
||||
{file = "certifi-2024.2.2-py3-none-any.whl", hash = "sha256:dc383c07b76109f368f6106eee2b593b04a011ea4d55f652c6ca24a754d1cdd1"},
|
||||
{file = "certifi-2024.2.2.tar.gz", hash = "sha256:0569859f95fc761b18b45ef421b1290a0f65f147e92a1e5eb3e635f9a5e4e66f"},
|
||||
]
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[[package]]
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||||
@ -209,6 +213,17 @@ files = [
|
||||
{file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"},
|
||||
]
|
||||
|
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[[package]]
|
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name = "decorator"
|
||||
version = "4.4.2"
|
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description = "Decorators for Humans"
|
||||
optional = false
|
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python-versions = ">=2.6, !=3.0.*, !=3.1.*"
|
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files = [
|
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{file = "decorator-4.4.2-py2.py3-none-any.whl", hash = "sha256:41fa54c2a0cc4ba648be4fd43cff00aedf5b9465c9bf18d64325bc225f08f760"},
|
||||
{file = "decorator-4.4.2.tar.gz", hash = "sha256:e3a62f0520172440ca0dcc823749319382e377f37f140a0b99ef45fecb84bfe7"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "distlib"
|
||||
version = "0.3.8"
|
||||
@ -222,13 +237,13 @@ files = [
|
||||
|
||||
[[package]]
|
||||
name = "distro"
|
||||
version = "1.8.0"
|
||||
version = "1.9.0"
|
||||
description = "Distro - an OS platform information API"
|
||||
optional = false
|
||||
python-versions = ">=3.6"
|
||||
files = [
|
||||
{file = "distro-1.8.0-py3-none-any.whl", hash = "sha256:99522ca3e365cac527b44bde033f64c6945d90eb9f769703caaec52b09bbd3ff"},
|
||||
{file = "distro-1.8.0.tar.gz", hash = "sha256:02e111d1dc6a50abb8eed6bf31c3e48ed8b0830d1ea2a1b78c61765c2513fdd8"},
|
||||
{file = "distro-1.9.0-py3-none-any.whl", hash = "sha256:7bffd925d65168f85027d8da9af6bddab658135b840670a223589bc0c8ef02b2"},
|
||||
{file = "distro-1.9.0.tar.gz", hash = "sha256:2fa77c6fd8940f116ee1d6b94a2f90b13b5ea8d019b98bc8bafdcabcdd9bdbed"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
@ -330,13 +345,13 @@ files = [
|
||||
|
||||
[[package]]
|
||||
name = "httpcore"
|
||||
version = "1.0.2"
|
||||
version = "1.0.4"
|
||||
description = "A minimal low-level HTTP client."
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "httpcore-1.0.2-py3-none-any.whl", hash = "sha256:096cc05bca73b8e459a1fc3dcf585148f63e534eae4339559c9b8a8d6399acc7"},
|
||||
{file = "httpcore-1.0.2.tar.gz", hash = "sha256:9fc092e4799b26174648e54b74ed5f683132a464e95643b226e00c2ed2fa6535"},
|
||||
{file = "httpcore-1.0.4-py3-none-any.whl", hash = "sha256:ac418c1db41bade2ad53ae2f3834a3a0f5ae76b56cf5aa497d2d033384fc7d73"},
|
||||
{file = "httpcore-1.0.4.tar.gz", hash = "sha256:cb2839ccfcba0d2d3c1131d3c3e26dfc327326fbe7a5dc0dbfe9f6c9151bb022"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
@ -347,7 +362,7 @@ h11 = ">=0.13,<0.15"
|
||||
asyncio = ["anyio (>=4.0,<5.0)"]
|
||||
http2 = ["h2 (>=3,<5)"]
|
||||
socks = ["socksio (==1.*)"]
|
||||
trio = ["trio (>=0.22.0,<0.23.0)"]
|
||||
trio = ["trio (>=0.22.0,<0.25.0)"]
|
||||
|
||||
[[package]]
|
||||
name = "httpx"
|
||||
@ -375,13 +390,13 @@ socks = ["socksio (==1.*)"]
|
||||
|
||||
[[package]]
|
||||
name = "huggingface-hub"
|
||||
version = "0.21.3"
|
||||
version = "0.21.4"
|
||||
description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub"
|
||||
optional = false
|
||||
python-versions = ">=3.8.0"
|
||||
files = [
|
||||
{file = "huggingface_hub-0.21.3-py3-none-any.whl", hash = "sha256:b183144336fdf2810a8c109822e0bb6ef1fd61c65da6fb60e8c3f658b7144016"},
|
||||
{file = "huggingface_hub-0.21.3.tar.gz", hash = "sha256:26a15b604e4fc7bad37c467b76456543ec849386cbca9cd7e1e135f53e500423"},
|
||||
{file = "huggingface_hub-0.21.4-py3-none-any.whl", hash = "sha256:df37c2c37fc6c82163cdd8a67ede261687d80d1e262526d6c0ce73b6b3630a7b"},
|
||||
{file = "huggingface_hub-0.21.4.tar.gz", hash = "sha256:e1f4968c93726565a80edf6dc309763c7b546d0cfe79aa221206034d50155531"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
@ -431,6 +446,56 @@ files = [
|
||||
{file = "idna-3.6.tar.gz", hash = "sha256:9ecdbbd083b06798ae1e86adcbfe8ab1479cf864e4ee30fe4e46a003d12491ca"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "imageio"
|
||||
version = "2.34.0"
|
||||
description = "Library for reading and writing a wide range of image, video, scientific, and volumetric data formats."
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "imageio-2.34.0-py3-none-any.whl", hash = "sha256:08082bf47ccb54843d9c73fe9fc8f3a88c72452ab676b58aca74f36167e8ccba"},
|
||||
{file = "imageio-2.34.0.tar.gz", hash = "sha256:ae9732e10acf807a22c389aef193f42215718e16bd06eed0c5bb57e1034a4d53"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
numpy = "*"
|
||||
pillow = ">=8.3.2"
|
||||
|
||||
[package.extras]
|
||||
all-plugins = ["astropy", "av", "imageio-ffmpeg", "pillow-heif", "psutil", "tifffile"]
|
||||
all-plugins-pypy = ["av", "imageio-ffmpeg", "pillow-heif", "psutil", "tifffile"]
|
||||
build = ["wheel"]
|
||||
dev = ["black", "flake8", "fsspec[github]", "pytest", "pytest-cov"]
|
||||
docs = ["numpydoc", "pydata-sphinx-theme", "sphinx (<6)"]
|
||||
ffmpeg = ["imageio-ffmpeg", "psutil"]
|
||||
fits = ["astropy"]
|
||||
full = ["astropy", "av", "black", "flake8", "fsspec[github]", "gdal", "imageio-ffmpeg", "itk", "numpydoc", "pillow-heif", "psutil", "pydata-sphinx-theme", "pytest", "pytest-cov", "sphinx (<6)", "tifffile", "wheel"]
|
||||
gdal = ["gdal"]
|
||||
itk = ["itk"]
|
||||
linting = ["black", "flake8"]
|
||||
pillow-heif = ["pillow-heif"]
|
||||
pyav = ["av"]
|
||||
test = ["fsspec[github]", "pytest", "pytest-cov"]
|
||||
tifffile = ["tifffile"]
|
||||
|
||||
[[package]]
|
||||
name = "imageio-ffmpeg"
|
||||
version = "0.4.9"
|
||||
description = "FFMPEG wrapper for Python"
|
||||
optional = false
|
||||
python-versions = ">=3.5"
|
||||
files = [
|
||||
{file = "imageio-ffmpeg-0.4.9.tar.gz", hash = "sha256:39bcd1660118ef360fa4047456501071364661aa9d9021d3d26c58f1ee2081f5"},
|
||||
{file = "imageio_ffmpeg-0.4.9-py3-none-macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl", hash = "sha256:24095e882a126a0d217197b86265f821b4bb3cf9004104f67c1384a2b4b49168"},
|
||||
{file = "imageio_ffmpeg-0.4.9-py3-none-manylinux2010_x86_64.whl", hash = "sha256:2996c64af3e5489227096580269317719ea1a8121d207f2e28d6c24ebc4a253e"},
|
||||
{file = "imageio_ffmpeg-0.4.9-py3-none-manylinux2014_aarch64.whl", hash = "sha256:7eead662d2f46d748c0ab446b68f423eb63d2b54d0a8ef96f80607245540866d"},
|
||||
{file = "imageio_ffmpeg-0.4.9-py3-none-win32.whl", hash = "sha256:b6de1e18911687c538d5585d8287ab1a23624ca9dc2044fcc4607de667bcf11e"},
|
||||
{file = "imageio_ffmpeg-0.4.9-py3-none-win_amd64.whl", hash = "sha256:7e900c695c6541b1cb17feb1baacd4009b30a53a45b81c23d53a67ab13ffb766"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
setuptools = "*"
|
||||
|
||||
[[package]]
|
||||
name = "iniconfig"
|
||||
version = "2.0.0"
|
||||
@ -442,6 +507,30 @@ files = [
|
||||
{file = "iniconfig-2.0.0.tar.gz", hash = "sha256:2d91e135bf72d31a410b17c16da610a82cb55f6b0477d1a902134b24a455b8b3"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "moviepy"
|
||||
version = "1.0.3"
|
||||
description = "Video editing with Python"
|
||||
optional = false
|
||||
python-versions = "*"
|
||||
files = [
|
||||
{file = "moviepy-1.0.3.tar.gz", hash = "sha256:2884e35d1788077db3ff89e763c5ba7bfddbd7ae9108c9bc809e7ba58fa433f5"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
decorator = ">=4.0.2,<5.0"
|
||||
imageio = {version = ">=2.5,<3.0", markers = "python_version >= \"3.4\""}
|
||||
imageio_ffmpeg = {version = ">=0.2.0", markers = "python_version >= \"3.4\""}
|
||||
numpy = {version = ">=1.17.3", markers = "python_version > \"2.7\""}
|
||||
proglog = "<=1.0.0"
|
||||
requests = ">=2.8.1,<3.0"
|
||||
tqdm = ">=4.11.2,<5.0"
|
||||
|
||||
[package.extras]
|
||||
doc = ["Sphinx (>=1.5.2,<2.0)", "numpydoc (>=0.6.0,<1.0)", "pygame (>=1.9.3,<2.0)", "sphinx_rtd_theme (>=0.1.10b0,<1.0)"]
|
||||
optional = ["matplotlib (>=2.0.0,<3.0)", "opencv-python (>=3.0,<4.0)", "scikit-image (>=0.13.0,<1.0)", "scikit-learn", "scipy (>=0.19.0,<1.5)", "youtube_dl"]
|
||||
test = ["coverage (<5.0)", "coveralls (>=1.1,<2.0)", "pytest (>=3.0.0,<4.0)", "pytest-cov (>=2.5.1,<3.0)", "requests (>=2.8.1,<3.0)"]
|
||||
|
||||
[[package]]
|
||||
name = "nodeenv"
|
||||
version = "1.8.0"
|
||||
@ -456,25 +545,70 @@ files = [
|
||||
[package.dependencies]
|
||||
setuptools = "*"
|
||||
|
||||
[[package]]
|
||||
name = "numpy"
|
||||
version = "1.26.4"
|
||||
description = "Fundamental package for array computing in Python"
|
||||
optional = false
|
||||
python-versions = ">=3.9"
|
||||
files = [
|
||||
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|
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||||
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|
||||
|
||||
[[package]]
|
||||
name = "openai"
|
||||
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|
||||
version = "1.13.3"
|
||||
description = "The official Python library for the openai API"
|
||||
optional = false
|
||||
python-versions = ">=3.7.1"
|
||||
files = [
|
||||
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||||
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|
||||
|
||||
[package.dependencies]
|
||||
anyio = ">=3.5.0,<4"
|
||||
anyio = ">=3.5.0,<5"
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||||
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||||
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|
||||
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||||
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||||
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||||
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|
||||
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|
||||
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|
||||
|
||||
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|
||||
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|
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|
||||
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[package.dependencies]
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|
||||
|
||||
[[package]]
|
||||
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|
||||
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[[package]]
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||||
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|
||||
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[package.extras]
|
||||
docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "pygments-github-lexers (==0.0.5)", "rst.linker (>=1.9)", "sphinx (<7.2.5)", "sphinx (>=3.5)", "sphinx-favicon", "sphinx-inline-tabs", "sphinx-lint", "sphinx-notfound-page (>=1,<2)", "sphinx-reredirects", "sphinxcontrib-towncrier"]
|
||||
testing = ["build[virtualenv]", "filelock (>=3.4.0)", "flake8-2020", "ini2toml[lite] (>=0.9)", "jaraco.develop (>=7.21)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "pip (>=19.1)", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy (>=0.9.1)", "pytest-perf", "pytest-ruff", "pytest-timeout", "pytest-xdist", "tomli-w (>=1.0.0)", "virtualenv (>=13.0.0)", "wheel"]
|
||||
testing-integration = ["build[virtualenv] (>=1.0.3)", "filelock (>=3.4.0)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "packaging (>=23.1)", "pytest", "pytest-enabler", "pytest-xdist", "tomli", "virtualenv (>=13.0.0)", "wheel"]
|
||||
testing = ["build[virtualenv]", "filelock (>=3.4.0)", "flake8-2020", "ini2toml[lite] (>=0.9)", "jaraco.develop (>=7.21)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "packaging (>=23.2)", "pip (>=19.1)", "pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-home (>=0.5)", "pytest-mypy (>=0.9.1)", "pytest-perf", "pytest-ruff (>=0.2.1)", "pytest-timeout", "pytest-xdist", "tomli-w (>=1.0.0)", "virtualenv (>=13.0.0)", "wheel"]
|
||||
testing-integration = ["build[virtualenv] (>=1.0.3)", "filelock (>=3.4.0)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "packaging (>=23.2)", "pytest", "pytest-enabler", "pytest-xdist", "tomli", "virtualenv (>=13.0.0)", "wheel"]
|
||||
|
||||
[[package]]
|
||||
name = "sniffio"
|
||||
version = "1.3.0"
|
||||
version = "1.3.1"
|
||||
description = "Sniff out which async library your code is running under"
|
||||
optional = false
|
||||
python-versions = ">=3.7"
|
||||
files = [
|
||||
{file = "sniffio-1.3.0-py3-none-any.whl", hash = "sha256:eecefdce1e5bbfb7ad2eeaabf7c1eeb404d7757c379bd1f7e5cce9d8bf425384"},
|
||||
{file = "sniffio-1.3.0.tar.gz", hash = "sha256:e60305c5e5d314f5389259b7f22aaa33d8f7dee49763119234af3755c55b9101"},
|
||||
{file = "sniffio-1.3.1-py3-none-any.whl", hash = "sha256:2f6da418d1f1e0fddd844478f41680e794e6051915791a034ff65e5f100525a2"},
|
||||
{file = "sniffio-1.3.1.tar.gz", hash = "sha256:f4324edc670a0f49750a81b895f35c3adb843cca46f0530f79fc1babb23789dc"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
@ -919,13 +1152,13 @@ files = [
|
||||
|
||||
[[package]]
|
||||
name = "tqdm"
|
||||
version = "4.66.1"
|
||||
version = "4.66.2"
|
||||
description = "Fast, Extensible Progress Meter"
|
||||
optional = false
|
||||
python-versions = ">=3.7"
|
||||
files = [
|
||||
{file = "tqdm-4.66.1-py3-none-any.whl", hash = "sha256:d302b3c5b53d47bce91fea46679d9c3c6508cf6332229aa1e7d8653723793386"},
|
||||
{file = "tqdm-4.66.1.tar.gz", hash = "sha256:d88e651f9db8d8551a62556d3cff9e3034274ca5d66e93197cf2490e2dcb69c7"},
|
||||
{file = "tqdm-4.66.2-py3-none-any.whl", hash = "sha256:1ee4f8a893eb9bef51c6e35730cebf234d5d0b6bd112b0271e10ed7c24a02bd9"},
|
||||
{file = "tqdm-4.66.2.tar.gz", hash = "sha256:6cd52cdf0fef0e0f543299cfc96fec90d7b8a7e88745f411ec33eb44d5ed3531"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
@ -939,13 +1172,13 @@ telegram = ["requests"]
|
||||
|
||||
[[package]]
|
||||
name = "typing-extensions"
|
||||
version = "4.8.0"
|
||||
version = "4.10.0"
|
||||
description = "Backported and Experimental Type Hints for Python 3.8+"
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "typing_extensions-4.8.0-py3-none-any.whl", hash = "sha256:8f92fc8806f9a6b641eaa5318da32b44d401efaac0f6678c9bc448ba3605faa0"},
|
||||
{file = "typing_extensions-4.8.0.tar.gz", hash = "sha256:df8e4339e9cb77357558cbdbceca33c303714cf861d1eef15e1070055ae8b7ef"},
|
||||
{file = "typing_extensions-4.10.0-py3-none-any.whl", hash = "sha256:69b1a937c3a517342112fb4c6df7e72fc39a38e7891a5730ed4985b5214b5475"},
|
||||
{file = "typing_extensions-4.10.0.tar.gz", hash = "sha256:b0abd7c89e8fb96f98db18d86106ff1d90ab692004eb746cf6eda2682f91b3cb"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
@ -1088,4 +1321,4 @@ files = [
|
||||
[metadata]
|
||||
lock-version = "2.0"
|
||||
python-versions = "^3.10"
|
||||
content-hash = "17d8bb6d9e4a392f2512e4265df564708d59c1d83b26146f23e2595b6764c711"
|
||||
content-hash = "274fed55cf4a2f4e9954b3d196c103b72225409c6050759a939f0ca197ae3f79"
|
||||
|
||||
@ -16,6 +16,7 @@ beautifulsoup4 = "^4.12.2"
|
||||
httpx = "^0.25.1"
|
||||
pre-commit = "^3.6.2"
|
||||
anthropic = "^0.18.0"
|
||||
moviepy = "^1.0.3"
|
||||
|
||||
[tool.poetry.group.dev.dependencies]
|
||||
pytest = "^7.4.3"
|
||||
|
||||
@ -3,9 +3,12 @@ import traceback
|
||||
from fastapi import APIRouter, WebSocket
|
||||
import openai
|
||||
from config import ANTHROPIC_API_KEY, IS_PROD, SHOULD_MOCK_AI_RESPONSE
|
||||
from custom_types import InputMode
|
||||
from llm import (
|
||||
CODE_GENERATION_MODELS,
|
||||
MODEL_CLAUDE_OPUS,
|
||||
stream_claude_response,
|
||||
stream_claude_response_native,
|
||||
stream_openai_response,
|
||||
)
|
||||
from openai.types.chat import ChatCompletionMessageParam
|
||||
@ -16,9 +19,11 @@ from prompts import assemble_imported_code_prompt, assemble_prompt
|
||||
from access_token import validate_access_token
|
||||
from datetime import datetime
|
||||
import json
|
||||
from prompts.claude_prompts import VIDEO_PROMPT
|
||||
from prompts.types import Stack
|
||||
|
||||
from utils import pprint_prompt # type: ignore
|
||||
# from utils import pprint_prompt
|
||||
from video.utils import extract_tag_content, assemble_claude_prompt_video # type: ignore
|
||||
|
||||
|
||||
router = APIRouter()
|
||||
@ -64,6 +69,19 @@ async def stream_code(websocket: WebSocket):
|
||||
generated_code_config = ""
|
||||
if "generatedCodeConfig" in params and params["generatedCodeConfig"]:
|
||||
generated_code_config = params["generatedCodeConfig"]
|
||||
if not generated_code_config in get_args(Stack):
|
||||
await throw_error(f"Invalid generated code config: {generated_code_config}")
|
||||
return
|
||||
# Cast the variable to the Stack type
|
||||
valid_stack = cast(Stack, generated_code_config)
|
||||
|
||||
# Validate the input mode
|
||||
input_mode = params.get("inputMode")
|
||||
if not input_mode in get_args(InputMode):
|
||||
await throw_error(f"Invalid input mode: {input_mode}")
|
||||
raise Exception(f"Invalid input mode: {input_mode}")
|
||||
# Cast the variable to the right type
|
||||
validated_input_mode = cast(InputMode, input_mode)
|
||||
|
||||
# Read the model from the request. Fall back to default if not provided.
|
||||
code_generation_model = params.get("codeGenerationModel", "gpt_4_vision")
|
||||
@ -72,7 +90,7 @@ async def stream_code(websocket: WebSocket):
|
||||
raise Exception(f"Invalid model: {code_generation_model}")
|
||||
|
||||
print(
|
||||
f"Generating {generated_code_config} code using {code_generation_model} model..."
|
||||
f"Generating {generated_code_config} code for uploaded {input_mode} using {code_generation_model} model..."
|
||||
)
|
||||
|
||||
# Get the OpenAI API key from the request. Fall back to environment variable if not provided.
|
||||
@ -110,13 +128,6 @@ async def stream_code(websocket: WebSocket):
|
||||
)
|
||||
return
|
||||
|
||||
# Validate the generated code config
|
||||
if not generated_code_config in get_args(Stack):
|
||||
await throw_error(f"Invalid generated code config: {generated_code_config}")
|
||||
return
|
||||
# Cast the variable to the Stack type
|
||||
valid_stack = cast(Stack, generated_code_config)
|
||||
|
||||
# Get the OpenAI Base URL from the request. Fall back to environment variable if not provided.
|
||||
openai_base_url = None
|
||||
# Disable user-specified OpenAI Base URL in prod
|
||||
@ -203,13 +214,34 @@ async def stream_code(websocket: WebSocket):
|
||||
|
||||
image_cache = create_alt_url_mapping(params["history"][-2])
|
||||
|
||||
pprint_prompt(prompt_messages)
|
||||
if validated_input_mode == "video":
|
||||
video_data_url = params["image"]
|
||||
prompt_messages = await assemble_claude_prompt_video(video_data_url)
|
||||
|
||||
# pprint_prompt(prompt_messages) # type: ignore
|
||||
|
||||
if SHOULD_MOCK_AI_RESPONSE:
|
||||
completion = await mock_completion(process_chunk)
|
||||
completion = await mock_completion(
|
||||
process_chunk, input_mode=validated_input_mode
|
||||
)
|
||||
else:
|
||||
try:
|
||||
if code_generation_model == "claude_3_sonnet":
|
||||
if validated_input_mode == "video":
|
||||
if not ANTHROPIC_API_KEY:
|
||||
await throw_error(
|
||||
"No Anthropic API key found. Please add the environment variable ANTHROPIC_API_KEY to backend/.env"
|
||||
)
|
||||
raise Exception("No Anthropic key")
|
||||
|
||||
completion = await stream_claude_response_native(
|
||||
system_prompt=VIDEO_PROMPT,
|
||||
messages=prompt_messages, # type: ignore
|
||||
api_key=ANTHROPIC_API_KEY,
|
||||
callback=lambda x: process_chunk(x),
|
||||
model=MODEL_CLAUDE_OPUS,
|
||||
include_thinking=True,
|
||||
)
|
||||
elif code_generation_model == "claude_3_sonnet":
|
||||
if not ANTHROPIC_API_KEY:
|
||||
await throw_error(
|
||||
"No Anthropic API key found. Please add the environment variable ANTHROPIC_API_KEY to backend/.env"
|
||||
@ -217,13 +249,13 @@ async def stream_code(websocket: WebSocket):
|
||||
raise Exception("No Anthropic key")
|
||||
|
||||
completion = await stream_claude_response(
|
||||
prompt_messages,
|
||||
prompt_messages, # type: ignore
|
||||
api_key=ANTHROPIC_API_KEY,
|
||||
callback=lambda x: process_chunk(x),
|
||||
)
|
||||
else:
|
||||
completion = await stream_openai_response(
|
||||
prompt_messages,
|
||||
prompt_messages, # type: ignore
|
||||
api_key=openai_api_key,
|
||||
base_url=openai_base_url,
|
||||
callback=lambda x: process_chunk(x),
|
||||
@ -263,8 +295,11 @@ async def stream_code(websocket: WebSocket):
|
||||
)
|
||||
return await throw_error(error_message)
|
||||
|
||||
if validated_input_mode == "video":
|
||||
completion = extract_tag_content("html", completion)
|
||||
|
||||
# Write the messages dict into a log so that we can debug later
|
||||
write_logs(prompt_messages, completion)
|
||||
write_logs(prompt_messages, completion) # type: ignore
|
||||
|
||||
try:
|
||||
if should_generate_images:
|
||||
|
||||
134
backend/video/utils.py
Normal file
134
backend/video/utils.py
Normal file
@ -0,0 +1,134 @@
|
||||
# Extract HTML content from the completion string
|
||||
import base64
|
||||
import io
|
||||
import mimetypes
|
||||
import os
|
||||
import tempfile
|
||||
import uuid
|
||||
from typing import Union, cast
|
||||
from moviepy.editor import VideoFileClip # type: ignore
|
||||
from PIL import Image
|
||||
import math
|
||||
|
||||
|
||||
DEBUG = True
|
||||
TARGET_NUM_SCREENSHOTS = (
|
||||
20 # Should be max that Claude supports (20) - reduce to save tokens on testing
|
||||
)
|
||||
|
||||
|
||||
async def assemble_claude_prompt_video(video_data_url: str):
|
||||
images = split_video_into_screenshots(video_data_url)
|
||||
|
||||
# Save images to tmp if we're debugging
|
||||
if DEBUG:
|
||||
save_images_to_tmp(images)
|
||||
|
||||
# Validate number of images
|
||||
print(f"Number of frames extracted from video: {len(images)}")
|
||||
if len(images) > 20:
|
||||
print(f"Too many screenshots: {len(images)}")
|
||||
return
|
||||
|
||||
# Convert images to the message format for Claude
|
||||
content_messages: list[dict[str, Union[dict[str, str], str]]] = []
|
||||
for image in images:
|
||||
|
||||
# Convert Image to buffer
|
||||
buffered = io.BytesIO()
|
||||
image.save(buffered, format="JPEG")
|
||||
|
||||
# Encode bytes as base64
|
||||
base64_data = base64.b64encode(buffered.getvalue()).decode("utf-8")
|
||||
media_type = "image/jpeg"
|
||||
|
||||
content_messages.append(
|
||||
{
|
||||
"type": "image",
|
||||
"source": {
|
||||
"type": "base64",
|
||||
"media_type": media_type,
|
||||
"data": base64_data,
|
||||
},
|
||||
}
|
||||
)
|
||||
|
||||
return [
|
||||
{
|
||||
"role": "user",
|
||||
"content": content_messages,
|
||||
},
|
||||
]
|
||||
|
||||
|
||||
# Returns a list of images/frame (RGB format)
|
||||
def split_video_into_screenshots(video_data_url: str) -> list[Image.Image]:
|
||||
target_num_screenshots = TARGET_NUM_SCREENSHOTS
|
||||
|
||||
# Decode the base64 URL to get the video bytes
|
||||
video_encoded_data = video_data_url.split(",")[1]
|
||||
video_bytes = base64.b64decode(video_encoded_data)
|
||||
|
||||
mime_type = video_data_url.split(";")[0].split(":")[1]
|
||||
suffix = mimetypes.guess_extension(mime_type)
|
||||
|
||||
with tempfile.NamedTemporaryFile(suffix=suffix, delete=True) as temp_video_file:
|
||||
print(temp_video_file.name)
|
||||
temp_video_file.write(video_bytes)
|
||||
temp_video_file.flush()
|
||||
clip = VideoFileClip(temp_video_file.name)
|
||||
images: list[Image.Image] = []
|
||||
total_frames = cast(int, clip.reader.nframes) # type: ignore
|
||||
|
||||
# Calculate frame skip interval by dividing total frames by the target number of screenshots
|
||||
# Ensuring a minimum skip of 1 frame
|
||||
frame_skip = max(1, math.ceil(total_frames / target_num_screenshots))
|
||||
|
||||
# Iterate over each frame in the clip
|
||||
for i, frame in enumerate(clip.iter_frames()):
|
||||
# Save every nth frame
|
||||
if i % frame_skip == 0:
|
||||
frame_image = Image.fromarray(frame) # type: ignore
|
||||
images.append(frame_image)
|
||||
# Ensure that we don't capture more than the desired number of frames
|
||||
if len(images) >= target_num_screenshots:
|
||||
break
|
||||
|
||||
# Close the video file to release resources
|
||||
clip.close()
|
||||
|
||||
return images
|
||||
|
||||
|
||||
# Save a list of PIL images to a random temporary directory
|
||||
def save_images_to_tmp(images: list[Image.Image]):
|
||||
|
||||
# Create a unique temporary directory
|
||||
unique_dir_name = f"screenshots_{uuid.uuid4()}"
|
||||
tmp_screenshots_dir = os.path.join(tempfile.gettempdir(), unique_dir_name)
|
||||
os.makedirs(tmp_screenshots_dir, exist_ok=True)
|
||||
|
||||
for idx, image in enumerate(images):
|
||||
# Generate a unique image filename using index
|
||||
image_filename = f"screenshot_{idx}.jpg"
|
||||
tmp_filepath = os.path.join(tmp_screenshots_dir, image_filename)
|
||||
image.save(tmp_filepath, format="JPEG")
|
||||
|
||||
print("Saved to " + tmp_screenshots_dir)
|
||||
|
||||
|
||||
def extract_tag_content(tag: str, text: str) -> str:
|
||||
"""
|
||||
Extracts content for a given tag from the provided text.
|
||||
|
||||
:param tag: The tag to search for.
|
||||
:param text: The text to search within.
|
||||
:return: The content found within the tag, if any.
|
||||
"""
|
||||
tag_start = f"<{tag}>"
|
||||
tag_end = f"</{tag}>"
|
||||
start_idx = text.find(tag_start)
|
||||
end_idx = text.find(tag_end, start_idx)
|
||||
if start_idx != -1 and end_idx != -1:
|
||||
return text[start_idx : end_idx + len(tag_end)]
|
||||
return ""
|
||||
@ -1,19 +1,21 @@
|
||||
# Load environment variables first
|
||||
import base64
|
||||
import shutil
|
||||
|
||||
from dotenv import load_dotenv
|
||||
|
||||
load_dotenv()
|
||||
|
||||
|
||||
import base64
|
||||
import mimetypes
|
||||
import time
|
||||
import subprocess
|
||||
import os
|
||||
from typing import Union
|
||||
import asyncio
|
||||
from datetime import datetime
|
||||
from prompts.claude_prompts import VIDEO_PROMPT, VIDEO_PROMPT_ALPINE_JS
|
||||
from prompts.claude_prompts import VIDEO_PROMPT
|
||||
from utils import pprint_prompt
|
||||
from config import ANTHROPIC_API_KEY
|
||||
from video.utils import extract_tag_content, assemble_claude_prompt_video
|
||||
from llm import (
|
||||
MODEL_CLAUDE_OPUS,
|
||||
# MODEL_CLAUDE_SONNET,
|
||||
@ -28,11 +30,12 @@ OUTPUTS_DIR = "./video_evals/outputs"
|
||||
|
||||
|
||||
async def main():
|
||||
|
||||
video_filename = "mortgage-calculator.mov"
|
||||
screenshot_interval = 850
|
||||
video_filename = "shortest.mov"
|
||||
is_followup = False
|
||||
|
||||
if not ANTHROPIC_API_KEY:
|
||||
raise ValueError("ANTHROPIC_API_KEY is not set")
|
||||
|
||||
# Get previous HTML
|
||||
previous_html = ""
|
||||
if is_followup:
|
||||
@ -44,72 +47,22 @@ async def main():
|
||||
],
|
||||
key=os.path.getctime,
|
||||
)
|
||||
print(previous_html_file)
|
||||
with open(previous_html_file, "r") as file:
|
||||
previous_html = file.read()
|
||||
|
||||
if not ANTHROPIC_API_KEY:
|
||||
raise ValueError("ANTHROPIC_API_KEY is not set")
|
||||
|
||||
# Create the SCREENSHOTS_DIR if it doesn't exist
|
||||
if not os.path.exists(SCREENSHOTS_DIR):
|
||||
os.makedirs(SCREENSHOTS_DIR)
|
||||
|
||||
# Clear out the SCREENSHOTS_DIR before generating new screenshots
|
||||
for filename in os.listdir(SCREENSHOTS_DIR):
|
||||
file_path = os.path.join(SCREENSHOTS_DIR, filename)
|
||||
try:
|
||||
if os.path.isfile(file_path) or os.path.islink(file_path):
|
||||
os.unlink(file_path)
|
||||
elif os.path.isdir(file_path):
|
||||
shutil.rmtree(file_path)
|
||||
except Exception as e:
|
||||
print(f"Failed to delete {file_path}. Reason: {e}")
|
||||
|
||||
# Split the video into screenshots
|
||||
split_video_into_screenshots(
|
||||
os.path.join(VIDEO_DIR, video_filename), SCREENSHOTS_DIR, screenshot_interval
|
||||
video_file = os.path.join(VIDEO_DIR, video_filename)
|
||||
mime_type = mimetypes.guess_type(video_file)[0]
|
||||
with open(video_file, "rb") as file:
|
||||
video_content = file.read()
|
||||
video_data_url = (
|
||||
f"data:{mime_type};base64,{base64.b64encode(video_content).decode('utf-8')}"
|
||||
)
|
||||
|
||||
# Get all the screenshots in the directory
|
||||
screenshots = [f for f in os.listdir(SCREENSHOTS_DIR) if f.endswith(".jpg")]
|
||||
prompt_messages = await assemble_claude_prompt_video(video_data_url)
|
||||
|
||||
if len(screenshots) > 20:
|
||||
print(f"Too many screenshots: {len(screenshots)}")
|
||||
return
|
||||
|
||||
input_image_urls: list[str] = []
|
||||
sorted_screenshots = sorted(screenshots, key=lambda x: int(x.split(".")[0]))
|
||||
for filename in sorted_screenshots:
|
||||
filepath = os.path.join(SCREENSHOTS_DIR, filename)
|
||||
data_url = await image_to_data_url(filepath)
|
||||
print(filename)
|
||||
input_image_urls.append(data_url)
|
||||
|
||||
# Convert images to the message format for Claude
|
||||
content_messages: list[dict[str, Union[dict[str, str], str]]] = []
|
||||
for url in input_image_urls:
|
||||
media_type = url.split(";")[0].split(":")[1]
|
||||
base64_data = url.split(",")[1]
|
||||
content_messages.append(
|
||||
{
|
||||
"type": "image",
|
||||
"source": {
|
||||
"type": "base64",
|
||||
"media_type": media_type,
|
||||
"data": base64_data,
|
||||
},
|
||||
}
|
||||
)
|
||||
|
||||
prompt_messages = [
|
||||
{
|
||||
"role": "user",
|
||||
"content": content_messages,
|
||||
},
|
||||
# {"role": "assistant", "content": SECOND_MESSAGE},
|
||||
# {"role": "user", "content": "continue"},
|
||||
]
|
||||
# Tell the model to continue
|
||||
# {"role": "assistant", "content": SECOND_MESSAGE},
|
||||
# {"role": "user", "content": "continue"},
|
||||
|
||||
if is_followup:
|
||||
prompt_messages += [
|
||||
@ -161,66 +114,10 @@ async def main():
|
||||
with open(output_path, "w") as file:
|
||||
file.write(html_content)
|
||||
|
||||
print(f"Output file path: {output_path}")
|
||||
|
||||
# Show a notification
|
||||
subprocess.run(["osascript", "-e", 'display notification "Coding Complete"'])
|
||||
|
||||
|
||||
# Extract HTML content from the completion string
|
||||
def extract_tag_content(tag: str, text: str) -> str:
|
||||
"""
|
||||
Extracts content for a given tag from the provided text.
|
||||
|
||||
:param tag: The tag to search for.
|
||||
:param text: The text to search within.
|
||||
:return: The content found within the tag, if any.
|
||||
"""
|
||||
tag_start = f"<{tag}>"
|
||||
tag_end = f"</{tag}>"
|
||||
start_idx = text.find(tag_start)
|
||||
end_idx = text.find(tag_end, start_idx)
|
||||
if start_idx != -1 and end_idx != -1:
|
||||
return text[start_idx : end_idx + len(tag_end)]
|
||||
return ""
|
||||
|
||||
|
||||
def split_video_into_screenshots(video_path: str, output_dir: str, interval: int):
|
||||
# Create the output directory if it doesn't exist
|
||||
os.makedirs(output_dir, exist_ok=True)
|
||||
|
||||
# Calculate the number of zeros needed for padding
|
||||
# duration = float(
|
||||
# subprocess.check_output(
|
||||
# [
|
||||
# "ffprobe",
|
||||
# "-v",
|
||||
# "error",
|
||||
# "-show_entries",
|
||||
# "format=duration",
|
||||
# "-of",
|
||||
# "default=noprint_wrappers=1:nokey=1",
|
||||
# video_path,
|
||||
# ]
|
||||
# )
|
||||
# )
|
||||
|
||||
# Run the ffmpeg command to extract screenshots
|
||||
subprocess.call(
|
||||
[
|
||||
"ffmpeg",
|
||||
"-i",
|
||||
video_path,
|
||||
"-vf",
|
||||
f"fps=1/{interval/1000}",
|
||||
f"{output_dir}/%d.jpg",
|
||||
]
|
||||
)
|
||||
|
||||
|
||||
# TODO: Don't hard-code the media type
|
||||
async def image_to_data_url(filepath: str):
|
||||
with open(filepath, "rb") as image_file:
|
||||
encoded_string = base64.b64encode(image_file.read()).decode()
|
||||
return f"data:image/jpeg;base64,{encoded_string}"
|
||||
|
||||
|
||||
asyncio.run(main())
|
||||
|
||||
@ -44,6 +44,8 @@ function App() {
|
||||
const [appState, setAppState] = useState<AppState>(AppState.INITIAL);
|
||||
const [generatedCode, setGeneratedCode] = useState<string>("");
|
||||
|
||||
const [inputMode, setInputMode] = useState<"image" | "video">("image");
|
||||
|
||||
const [referenceImages, setReferenceImages] = useState<string[]>([]);
|
||||
const [executionConsole, setExecutionConsole] = useState<string[]>([]);
|
||||
const [updateInstruction, setUpdateInstruction] = useState("");
|
||||
@ -140,6 +142,10 @@ function App() {
|
||||
cancelCodeGenerationAndReset();
|
||||
};
|
||||
|
||||
const shouldDisablePreview = inputMode === "video";
|
||||
const previewCode =
|
||||
shouldDisablePreview && appState === AppState.CODING ? "" : generatedCode;
|
||||
|
||||
const cancelCodeGenerationAndReset = () => {
|
||||
// When this is the first version, reset the entire app state
|
||||
if (currentVersion === null) {
|
||||
@ -219,16 +225,18 @@ function App() {
|
||||
}
|
||||
|
||||
// Initial version creation
|
||||
function doCreate(referenceImages: string[]) {
|
||||
function doCreate(referenceImages: string[], inputMode: "image" | "video") {
|
||||
// Reset any existing state
|
||||
reset();
|
||||
|
||||
setReferenceImages(referenceImages);
|
||||
setInputMode(inputMode);
|
||||
if (referenceImages.length > 0) {
|
||||
doGenerateCode(
|
||||
{
|
||||
generationType: "create",
|
||||
image: referenceImages[0],
|
||||
inputMode,
|
||||
},
|
||||
currentVersion
|
||||
);
|
||||
@ -261,6 +269,7 @@ function App() {
|
||||
doGenerateCode(
|
||||
{
|
||||
generationType: "update",
|
||||
inputMode,
|
||||
image: referenceImages[0],
|
||||
resultImage: resultImage,
|
||||
history: updatedHistory,
|
||||
@ -272,6 +281,7 @@ function App() {
|
||||
doGenerateCode(
|
||||
{
|
||||
generationType: "update",
|
||||
inputMode,
|
||||
image: referenceImages[0],
|
||||
history: updatedHistory,
|
||||
isImportedFromCode,
|
||||
@ -519,14 +529,14 @@ function App() {
|
||||
</TabsList>
|
||||
</div>
|
||||
<TabsContent value="desktop">
|
||||
<Preview code={generatedCode} device="desktop" />
|
||||
<Preview code={previewCode} device="desktop" />
|
||||
</TabsContent>
|
||||
<TabsContent value="mobile">
|
||||
<Preview code={generatedCode} device="mobile" />
|
||||
<Preview code={previewCode} device="mobile" />
|
||||
</TabsContent>
|
||||
<TabsContent value="code">
|
||||
<CodeTab
|
||||
code={generatedCode}
|
||||
code={previewCode}
|
||||
setCode={setGeneratedCode}
|
||||
settings={settings}
|
||||
/>
|
||||
|
||||
@ -51,7 +51,10 @@ type FileWithPreview = {
|
||||
} & File;
|
||||
|
||||
interface Props {
|
||||
setReferenceImages: (referenceImages: string[]) => void;
|
||||
setReferenceImages: (
|
||||
referenceImages: string[],
|
||||
inputMode: "image" | "video"
|
||||
) => void;
|
||||
}
|
||||
|
||||
function ImageUpload({ setReferenceImages }: Props) {
|
||||
@ -59,11 +62,13 @@ function ImageUpload({ setReferenceImages }: Props) {
|
||||
const { getRootProps, getInputProps, isFocused, isDragAccept, isDragReject } =
|
||||
useDropzone({
|
||||
maxFiles: 1,
|
||||
maxSize: 1024 * 1024 * 5, // 5 MB
|
||||
maxSize: 1024 * 1024 * 20, // 20 MB
|
||||
accept: {
|
||||
"image/png": [".png"],
|
||||
"image/jpeg": [".jpeg"],
|
||||
"image/jpg": [".jpg"],
|
||||
"video/quicktime": [".mov"],
|
||||
"video/mp4": [".mp4"],
|
||||
},
|
||||
onDrop: (acceptedFiles) => {
|
||||
// Set up the preview thumbnail images
|
||||
@ -78,7 +83,14 @@ function ImageUpload({ setReferenceImages }: Props) {
|
||||
// Convert images to data URLs and set the prompt images state
|
||||
Promise.all(acceptedFiles.map((file) => fileToDataURL(file)))
|
||||
.then((dataUrls) => {
|
||||
setReferenceImages(dataUrls.map((dataUrl) => dataUrl as string));
|
||||
if (dataUrls.length > 0) {
|
||||
setReferenceImages(
|
||||
dataUrls.map((dataUrl) => dataUrl as string),
|
||||
(dataUrls[0] as string).startsWith("data:video")
|
||||
? "video"
|
||||
: "image"
|
||||
);
|
||||
}
|
||||
})
|
||||
.catch((error) => {
|
||||
toast.error("Error reading files" + error);
|
||||
|
||||
@ -6,7 +6,7 @@ import { toast } from "react-hot-toast";
|
||||
|
||||
interface Props {
|
||||
screenshotOneApiKey: string | null;
|
||||
doCreate: (urls: string[]) => void;
|
||||
doCreate: (urls: string[], inputMode: "image" | "video") => void;
|
||||
}
|
||||
|
||||
export function UrlInputSection({ doCreate, screenshotOneApiKey }: Props) {
|
||||
@ -46,7 +46,7 @@ export function UrlInputSection({ doCreate, screenshotOneApiKey }: Props) {
|
||||
}
|
||||
|
||||
const res = await response.json();
|
||||
doCreate([res.url]);
|
||||
doCreate([res.url], "image");
|
||||
} catch (error) {
|
||||
console.error(error);
|
||||
toast.error(
|
||||
|
||||
@ -27,6 +27,7 @@ export enum AppState {
|
||||
|
||||
export interface CodeGenerationParams {
|
||||
generationType: "create" | "update";
|
||||
inputMode: "image" | "video";
|
||||
image: string;
|
||||
resultImage?: string;
|
||||
history?: string[];
|
||||
|
||||
Loading…
Reference in New Issue
Block a user