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Added support for gemini pro vision.

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Model can be set on runtime using  `MODEL=gemini poetry run uvicorn main:app --reload --port 7001` or by configuring it on the web ui.
Follow instructions on the README to set appropriate api keys.
This commit is contained in:
theonlyamos 2023-12-22 17:37:11 +00:00
parent 9b59b2d595
commit 9fd6378d31
10 changed files with 702 additions and 88 deletions
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16
README.md
View File

@ -26,10 +26,13 @@ See the [Examples](#-examples) section below for more demos.
## 🛠 Getting Started
The app has a React/Vite frontend and a FastAPI backend. You will need an OpenAI API key with access to the GPT-4 Vision API.
The app has a React/Vite frontend and a FastAPI backend. You will need an OpenAI API key with access to the GPT-4 Vision API or Google API key for Gemini Pro Vision.
Model Configuration can also be found on the settings modal of the web ui.
Run the backend (I use Poetry for package management - `pip install poetry` if you don't have it):
### Run with GPT-4 Vision
```bash
cd backend
echo "OPENAI_API_KEY=sk-your-key" > .env
@ -38,6 +41,17 @@ poetry shell
poetry run uvicorn main:app --reload --port 7001
```
### Run with Gemini Pro Vision
You can also run this with Gemini Pro Vision by using the following command line instead:
```bash
cd backend
echo "GOOGLE_API_KEY=sk-your-key" >.env
poetry install
poetry shell
MODEL=gemini poetry run uvicorn main:app --reload --port 7001
```
Run the frontend:
```bash

2
backend/config.py
View File

@ -5,6 +5,8 @@ import os
SHOULD_MOCK_AI_RESPONSE = bool(os.environ.get("MOCK", False))
MODEL = os.environ.get("MODEL", 'gpt-4-vision')
IS_MODEL_GEMINI = MODEL == 'gemini'
# Set to True when running in production (on the hosted version)
# Used as a feature flag to enable or disable certain features

62
backend/llm.py
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@ -1,9 +1,29 @@
from typing import Awaitable, Callable, List
import io
from typing import Awaitable, Callable, List, Any
from openai import AsyncOpenAI
from openai.types.chat import ChatCompletionMessageParam, ChatCompletionChunk
import google.generativeai as genai
from PIL import Image
import base64
import os
MODEL_GPT_4_VISION = "gpt-4-vision-preview"
MODEL_GEMINI_PRO_VISION = "models/gemini-pro-vision"
async def format_messages_for_gemnini(messages: List[Any]):
system_promt = messages[0]['content']
image_base64 = messages[1]['content'][0]['image_url']['url']
additional_prompt = messages[1]['content'][1]['text']
base64_data = image_base64.split(",")[1]
decoded_bytes = base64.b64decode(base64_data)
image_bytes = io.BytesIO(decoded_bytes)
image = Image.open(image_bytes)
return [system_promt, image, additional_prompt]
async def stream_openai_response(
messages: List[ChatCompletionMessageParam],
@ -34,3 +54,43 @@ async def stream_openai_response(
await client.close()
return full_response
async def stream_gemini_response(
messages: List[Any] = [],
api_key: str = os.getenv('GOOGLE_API_KEY', ''),
callback: Callable[[str], Awaitable[None]] | None = None,
) -> str:
genai.configure(api_key=api_key)
model = genai.GenerativeModel('gemini-pro-vision')
general_config = {
"max_output_tokens": 2048,
"temperature": 0.4,
"top_p": 1,
"top_k": 32
}
formatted_messages = await format_messages_for_gemnini(messages)
response = model.generate_content(
formatted_messages,
stream=True,
generation_config=general_config # type: ignore
)
response.resolve()
result = response.text
while "</html>" not in result:
continue_prompt = "Generate the rest of the code below"
formatted_messages.append(continue_prompt)
formatted_messages.append(result)
response = model.generate_content(
formatted_messages,
stream=True,
generation_config=general_config # type: ignore
)
response.resolve()
result += response.text
return result

517
backend/poetry.lock generated
View File

@ -1,10 +1,9 @@
# This file is automatically @generated by Poetry 1.4.1 and should not be changed by hand.
# This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand.
[[package]]
name = "anyio"
version = "3.7.1"
description = "High level compatibility layer for multiple asynchronous event loop implementations"
category = "main"
optional = false
python-versions = ">=3.7"
files = [
@ -26,7 +25,6 @@ trio = ["trio (<0.22)"]
name = "beautifulsoup4"
version = "4.12.2"
description = "Screen-scraping library"
category = "main"
optional = false
python-versions = ">=3.6.0"
files = [
@ -41,11 +39,21 @@ soupsieve = ">1.2"
html5lib = ["html5lib"]
lxml = ["lxml"]
[[package]]
name = "cachetools"
version = "5.3.2"
description = "Extensible memoizing collections and decorators"
optional = false
python-versions = ">=3.7"
files = [
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]
[[package]]
name = "certifi"
version = "2023.11.17"
description = "Python package for providing Mozilla's CA Bundle."
category = "main"
optional = false
python-versions = ">=3.6"
files = [
@ -53,11 +61,109 @@ files = [
{file = "certifi-2023.11.17.tar.gz", hash = "sha256:9b469f3a900bf28dc19b8cfbf8019bf47f7fdd1a65a1d4ffb98fc14166beb4d1"},
]
[[package]]
name = "charset-normalizer"
version = "3.3.2"
description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
optional = false
python-versions = ">=3.7.0"
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{file = "protobuf-4.25.1.tar.gz", hash = "sha256:57d65074b4f5baa4ab5da1605c02be90ac20c8b40fb137d6a8df9f416b0d0ce2"},
]
[[package]]
name = "pyasn1"
version = "0.5.1"
description = "Pure-Python implementation of ASN.1 types and DER/BER/CER codecs (X.208)"
optional = false
python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,>=2.7"
files = [
{file = "pyasn1-0.5.1-py2.py3-none-any.whl", hash = "sha256:4439847c58d40b1d0a573d07e3856e95333f1976294494c325775aeca506eb58"},
{file = "pyasn1-0.5.1.tar.gz", hash = "sha256:6d391a96e59b23130a5cfa74d6fd7f388dbbe26cc8f1edf39fdddf08d9d6676c"},
]
[[package]]
name = "pyasn1-modules"
version = "0.3.0"
description = "A collection of ASN.1-based protocols modules"
optional = false
python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,>=2.7"
files = [
{file = "pyasn1_modules-0.3.0-py2.py3-none-any.whl", hash = "sha256:d3ccd6ed470d9ffbc716be08bd90efbd44d0734bc9303818f7336070984a162d"},
{file = "pyasn1_modules-0.3.0.tar.gz", hash = "sha256:5bd01446b736eb9d31512a30d46c1ac3395d676c6f3cafa4c03eb54b9925631c"},
]
[package.dependencies]
pyasn1 = ">=0.4.6,<0.6.0"
[[package]]
name = "pydantic"
version = "1.10.13"
description = "Data validation and settings management using python type hints"
category = "main"
optional = false
python-versions = ">=3.7"
files = [
@ -321,7 +731,6 @@ email = ["email-validator (>=1.0.3)"]
name = "pytest"
version = "7.4.3"
description = "pytest: simple powerful testing with Python"
category = "dev"
optional = false
python-versions = ">=3.7"
files = [
@ -344,7 +753,6 @@ testing = ["argcomplete", "attrs (>=19.2.0)", "hypothesis (>=3.56)", "mock", "no
name = "python-dotenv"
version = "1.0.0"
description = "Read key-value pairs from a .env file and set them as environment variables"
category = "main"
optional = false
python-versions = ">=3.8"
files = [
@ -355,11 +763,45 @@ files = [
[package.extras]
cli = ["click (>=5.0)"]
[[package]]
name = "requests"
version = "2.31.0"
description = "Python HTTP for Humans."
optional = false
python-versions = ">=3.7"
files = [
{file = "requests-2.31.0-py3-none-any.whl", hash = "sha256:58cd2187c01e70e6e26505bca751777aa9f2ee0b7f4300988b709f44e013003f"},
{file = "requests-2.31.0.tar.gz", hash = "sha256:942c5a758f98d790eaed1a29cb6eefc7ffb0d1cf7af05c3d2791656dbd6ad1e1"},
]
[package.dependencies]
certifi = ">=2017.4.17"
charset-normalizer = ">=2,<4"
idna = ">=2.5,<4"
urllib3 = ">=1.21.1,<3"
[package.extras]
socks = ["PySocks (>=1.5.6,!=1.5.7)"]
use-chardet-on-py3 = ["chardet (>=3.0.2,<6)"]
[[package]]
name = "rsa"
version = "4.9"
description = "Pure-Python RSA implementation"
optional = false
python-versions = ">=3.6,<4"
files = [
{file = "rsa-4.9-py3-none-any.whl", hash = "sha256:90260d9058e514786967344d0ef75fa8727eed8a7d2e43ce9f4bcf1b536174f7"},
{file = "rsa-4.9.tar.gz", hash = "sha256:e38464a49c6c85d7f1351b0126661487a7e0a14a50f1675ec50eb34d4f20ef21"},
]
[package.dependencies]
pyasn1 = ">=0.1.3"
[[package]]
name = "sniffio"
version = "1.3.0"
description = "Sniff out which async library your code is running under"
category = "main"
optional = false
python-versions = ">=3.7"
files = [
@ -371,7 +813,6 @@ files = [
name = "soupsieve"
version = "2.5"
description = "A modern CSS selector implementation for Beautiful Soup."
category = "main"
optional = false
python-versions = ">=3.8"
files = [
@ -383,7 +824,6 @@ files = [
name = "starlette"
version = "0.27.0"
description = "The little ASGI library that shines."
category = "main"
optional = false
python-versions = ">=3.7"
files = [
@ -401,7 +841,6 @@ full = ["httpx (>=0.22.0)", "itsdangerous", "jinja2", "python-multipart", "pyyam
name = "tomli"
version = "2.0.1"
description = "A lil' TOML parser"
category = "dev"
optional = false
python-versions = ">=3.7"
files = [
@ -413,7 +852,6 @@ files = [
name = "tqdm"
version = "4.66.1"
description = "Fast, Extensible Progress Meter"
category = "main"
optional = false
python-versions = ">=3.7"
files = [
@ -434,7 +872,6 @@ telegram = ["requests"]
name = "typing-extensions"
version = "4.8.0"
description = "Backported and Experimental Type Hints for Python 3.8+"
category = "main"
optional = false
python-versions = ">=3.8"
files = [
@ -442,11 +879,26 @@ files = [
{file = "typing_extensions-4.8.0.tar.gz", hash = "sha256:df8e4339e9cb77357558cbdbceca33c303714cf861d1eef15e1070055ae8b7ef"},
]
[[package]]
name = "urllib3"
version = "2.1.0"
description = "HTTP library with thread-safe connection pooling, file post, and more."
optional = false
python-versions = ">=3.8"
files = [
{file = "urllib3-2.1.0-py3-none-any.whl", hash = "sha256:55901e917a5896a349ff771be919f8bd99aff50b79fe58fec595eb37bbc56bb3"},
{file = "urllib3-2.1.0.tar.gz", hash = "sha256:df7aa8afb0148fa78488e7899b2c59b5f4ffcfa82e6c54ccb9dd37c1d7b52d54"},
]
[package.extras]
brotli = ["brotli (>=1.0.9)", "brotlicffi (>=0.8.0)"]
socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"]
zstd = ["zstandard (>=0.18.0)"]
[[package]]
name = "uvicorn"
version = "0.24.0.post1"
description = "The lightning-fast ASGI server."
category = "main"
optional = false
python-versions = ">=3.8"
files = [
@ -466,7 +918,6 @@ standard = ["colorama (>=0.4)", "httptools (>=0.5.0)", "python-dotenv (>=0.13)",
name = "websockets"
version = "12.0"
description = "An implementation of the WebSocket Protocol (RFC 6455 & 7692)"
category = "main"
optional = false
python-versions = ">=3.8"
files = [
@ -547,4 +998,4 @@ files = [
[metadata]
lock-version = "2.0"
python-versions = "^3.10"
content-hash = "c31ed2a1ce006749d6f34d8d6aebcbc58d306b9f8925b40cc35972a74979e5c7"
content-hash = "449dd2513b5ba1d4494937262c7ea6e5f7e2f013748365998159af90a67eabd5"

3
backend/pyproject.toml
View File

@ -14,6 +14,9 @@ openai = "^1.2.4"
python-dotenv = "^1.0.0"
beautifulsoup4 = "^4.12.2"
httpx = "^0.25.1"
google-generativeai = "0.3.0"
google-ai-generativelanguage = "0.4.0"
pillow = "^10.1.0"
[tool.poetry.group.dev.dependencies]
pytest = "^7.4.3"

94
backend/routes/generate_code.py
View File

@ -2,8 +2,8 @@ import os
import traceback
from fastapi import APIRouter, WebSocket
import openai
from config import IS_PROD, SHOULD_MOCK_AI_RESPONSE
from llm import stream_openai_response
from config import IS_PROD, SHOULD_MOCK_AI_RESPONSE, IS_MODEL_GEMINI
from llm import stream_gemini_response, stream_openai_response
from openai.types.chat import ChatCompletionMessageParam
from mock_llm import mock_completion
from typing import Dict, List
@ -63,12 +63,17 @@ async def stream_code(websocket: WebSocket):
# Get the OpenAI API key from the request. Fall back to environment variable if not provided.
# If neither is provided, we throw an error.
openai_api_key = None
openai_api_key = os.getenv('OPENAI_API_KEY')
openai_base_url = None
google_api_key = os.getenv('GOOGLE_API_KEY')
model = 'model/gemini-pro-vision' if IS_MODEL_GEMINI else 'gpt-4-vision'
should_generate_images = False
if "accessCode" in params and params["accessCode"]:
print("Access code - using platform API key")
res = await validate_access_token(params["accessCode"])
if res["success"]:
openai_api_key = os.environ.get("PLATFORM_OPENAI_API_KEY")
google_api_key = os.environ.get("PLATFORM_GOOGLE_API_KEY")
else:
await websocket.send_json(
{
@ -78,48 +83,54 @@ async def stream_code(websocket: WebSocket):
)
return
else:
if params["openAiApiKey"]:
openai_api_key = params["openAiApiKey"]
print("Using OpenAI API key from client-side settings dialog")
if params['model'] == 'models/gemini-pro-vision':
print('Using the Gemini Pro Vision Model')
model = params['model']
google_api_key = params['googleApiKey']
else:
openai_api_key = os.environ.get("OPENAI_API_KEY")
if openai_api_key:
print("Using OpenAI API key from environment variable")
print('Using the GPT 4 Vision Model')
if params["openAiApiKey"]:
openai_api_key = params["openAiApiKey"]
print("Using OpenAI API key from client-side settings dialog")
else:
if openai_api_key:
print("Using OpenAI API key from environment variable")
if not openai_api_key:
print("OpenAI API key not found")
if (model == 'gpt-4-vision' and not openai_api_key) or (model == 'models/gemini-pro-vision' and not google_api_key):
print("API key not found")
await websocket.send_json(
{
"type": "error",
"value": "No OpenAI API key found. Please add your API key in the settings dialog or add it to backend/.env file.",
"value": "No API key found. Please add your API key in the settings dialog or add it to backend/.env file.",
}
)
return
# 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
if not os.environ.get("IS_PROD"):
if "openAiBaseURL" in params and params["openAiBaseURL"]:
openai_base_url = params["openAiBaseURL"]
print("Using OpenAI Base URL from client-side settings dialog")
else:
openai_base_url = os.environ.get("OPENAI_BASE_URL")
if openai_base_url:
print("Using OpenAI Base URL from environment variable")
if model == 'gpt-4-vision':
# 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
if not os.environ.get("IS_PROD"):
if "openAiBaseURL" in params and params["openAiBaseURL"]:
openai_base_url = params["openAiBaseURL"]
print("Using OpenAI Base URL from client-side settings dialog")
else:
openai_base_url = os.environ.get("OPENAI_BASE_URL")
if openai_base_url:
print("Using OpenAI Base URL from environment variable")
if not openai_base_url:
print("Using official OpenAI URL")
if not openai_base_url:
print("Using official OpenAI URL")
# Get the image generation flag from the request. Fall back to True if not provided.
should_generate_images = (
params["isImageGenerationEnabled"]
if "isImageGenerationEnabled" in params
else True
)
# Get the image generation flag from the request. Fall back to True if not provided.
should_generate_images = (
params["isImageGenerationEnabled"]
if "isImageGenerationEnabled" in params
else True
)
print("generating code...")
await websocket.send_json({"type": "status", "value": "Generating code..."})
print("generating code...")
await websocket.send_json({"type": "status", "value": "Generating code..."})
async def process_chunk(content: str):
await websocket.send_json({"type": "chunk", "value": content})
@ -184,10 +195,16 @@ async def stream_code(websocket: WebSocket):
image_cache = create_alt_url_mapping(params["history"][-2])
pprint_prompt(prompt_messages)
# pprint_prompt(prompt_messages)
if SHOULD_MOCK_AI_RESPONSE:
completion = await mock_completion(process_chunk)
elif IS_MODEL_GEMINI:
completion = await stream_gemini_response(
prompt_messages,
api_key=google_api_key,
callback=lambda x: process_chunk(x),
)
else:
try:
completion = await stream_openai_response(
@ -260,5 +277,14 @@ async def stream_code(websocket: WebSocket):
await websocket.send_json(
{"type": "status", "value": "Image generation failed but code is complete."}
)
except RuntimeError as e:
traceback.print_exc()
print("Code generation failed", e)
# Send set code even if image generation fails since that triggers
# the frontend to update history
await websocket.send_json({"type": "setCode", "value": completion})
await websocket.send_json(
{"type": "status", "value": "Code generation failed but code is complete."}
)
await websocket.close()

2
frontend/src/App.tsx
View File

@ -55,7 +55,9 @@ function App() {
// Settings
const [settings, setSettings] = usePersistedState<Settings>(
{
model: 'gpt-4-vision',
openAiApiKey: null,
googleApiKey: null,
openAiBaseURL: null,
screenshotOneApiKey: null,
isImageGenerationEnabled: true,

2
frontend/src/components/ImageUpload.tsx
View File

@ -139,7 +139,7 @@ function ImageUpload({ setReferenceImages }: Props) {
);
return (
<section className="container">
<section className="container cursor-pointer">
{/* eslint-disable-next-line @typescript-eslint/no-explicit-any */}
<div {...getRootProps({ style: style as any })}>
<input {...getInputProps()} />

90
frontend/src/components/SettingsDialog.tsx
View File

@ -1,4 +1,4 @@
import React from "react";
import React, { useEffect, useState } from "react";
import {
Dialog,
DialogClose,
@ -37,6 +37,20 @@ function SettingsDialog({ settings, setSettings }: Props) {
}));
};
const [isGemini, setIsGemini] = useState(false);
const toggleModelSettings = (model: string)=>{
setIsGemini(model === 'models/gemini-pro-vision')
setSettings((s) => ({
...s,
model,
}))
}
useEffect(()=>{
setIsGemini(settings.model === 'models/gemini-pro-vision')
}, [])
return (
<Dialog>
<DialogTrigger>
@ -71,25 +85,65 @@ function SettingsDialog({ settings, setSettings }: Props) {
/>
</div>
<div className="flex flex-col space-y-4">
<Label htmlFor="openai-api-key">
<div>OpenAI API key</div>
<div className="font-light mt-2 leading-relaxed">
Only stored in your browser. Never stored on servers. Overrides
your .env config.
<Label htmlFor="model-selection">
<div>Select model to use</div>
<div className="font-light mt-2">
More fun with it but if you want to save money, turn it off.
</div>
</Label>
<Input
id="openai-api-key"
placeholder="OpenAI API key"
value={settings.openAiApiKey || ""}
onChange={(e) =>
setSettings((s) => ({
...s,
openAiApiKey: e.target.value,
}))
}
/>
<select
className="flex h-9 w-full rounded-md border border-input bg-transparent px-3 py-1 text-sm shadow-sm transition-colors file:border-0 file:bg-transparent file:text-sm file:font-medium placeholder:text-muted-foreground focus-visible:outline-none focus-visible:ring-1 focus-visible:ring-ring disabled:cursor-not-allowed disabled:opacity-50"
value={settings.model || ""}
onChange={(e)=>{toggleModelSettings(e.target.value)}}>
<option value="gpt-4-vision">GPT 4 Vision</option>
<option value="models/gemini-pro-vision">Gemini Pro Vision</option>
</select>
</div>
<div className="flex flex-col space-y-4">
{isGemini
?
<>
<Label htmlFor="google-api-key">
<div>Google API key</div>
<div className="font-light mt-2 leading-relaxed">
Only stored in your browser. Never stored on servers. Overrides
your .env config.
</div>
</Label>
<Input
id="google-api-key"
placeholder="Google API key"
value={settings.googleApiKey || ""}
onChange={(e) =>
setSettings((s) => ({
...s,
googleApiKey: e.target.value,
}))
}
/>
</>
:
<>
<Label htmlFor="openai-api-key">
<div>OpenAI API key</div>
<div className="font-light mt-2 leading-relaxed">
Only stored in your browser. Never stored on servers. Overrides
your .env config.
</div>
</Label>
<Input
id="openai-api-key"
placeholder="OpenAI API key"
value={settings.openAiApiKey || ""}
onChange={(e) =>
setSettings((s) => ({
...s,
openAiApiKey: e.target.value,
}))
}
/>
</>
}
{!IS_RUNNING_ON_CLOUD && (
<>

2
frontend/src/types.ts
View File

@ -13,7 +13,9 @@ export enum GeneratedCodeConfig {
}
export interface Settings {
model: string;
openAiApiKey: string | null;
googleApiKey: string | null;
openAiBaseURL: string | null;
screenshotOneApiKey: string | null;
isImageGenerationEnabled: boolean;