Merge 101d1738b6 into 6fe7098201
This commit is contained in:
xiehust
GitHub
commit
21f1faefa8
@ -42,17 +42,18 @@ We also just added experimental support for taking a video/screen recording of a
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## 🛠 Getting Started
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The app has a React/Vite frontend and a FastAPI backend.
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### 使用AWS Bedrock Claude 3/3.5 sonnet注意事项
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- 如果使用Bedrock Claude 3/3.5需要在运行机器上安装 https://aws.amazon.com/cn/cli/， 并配置aws iam 账号的ak sk，另外还需要开通该账号Bedrock Claude 3 访问的权限。
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- 如果使用Bedrock Claude 3/3.5，则无须配置OPENAI_API_KEY 或者 ANTHROPIC_API_KEY 到.env中
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Keys needed:
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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 an Anthropic key if you want to use Claude Sonnet, or for experimental video support.
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* [OpenAI API key with access to GPT-4](https://github.com/abi/screenshot-to-code/blob/main/Troubleshooting.md)
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* Anthropic key (optional) - only if you want to use Claude Sonnet, or for experimental video support.
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Run the backend (I use Poetry for package management - `pip install poetry` if you don't have it):
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```bash
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cd backend
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# optional
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echo "OPENAI_API_KEY=sk-your-key" > .env
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poetry install
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poetry shell
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157
backend/llm.py
157
backend/llm.py
@ -5,9 +5,27 @@ from openai import AsyncOpenAI
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from openai.types.chat import ChatCompletionMessageParam, ChatCompletionChunk
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from config import IS_DEBUG_ENABLED
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from debug.DebugFileWriter import DebugFileWriter
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# import boto3
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from utils import pprint_prompt
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import json
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import os
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import sys
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import boto3
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import base64
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import requests
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import time
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import pprint
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from datetime import datetime
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from botocore.config import Config
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#get modelARN
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REGION = os.environ.get('region','us-east-1')
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PROFILE = os.environ.get('profile', 'default')
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session = boto3.Session(profile_name=PROFILE,region_name=REGION)
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bedrock_runtime = session.client(
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service_name="bedrock-runtime",
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region_name=REGION
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)
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# Actual model versions that are passed to the LLMs and stored in our logs
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class Llm(Enum):
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@ -15,17 +33,23 @@ class Llm(Enum):
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GPT_4_TURBO_2024_04_09 = "gpt-4-turbo-2024-04-09"
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GPT_4O_2024_05_13 = "gpt-4o-2024-05-13"
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CLAUDE_3_SONNET = "claude-3-sonnet-20240229"
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CLAUDE_3_5_SONNET = "claude-3-5-sonnet-20240620"
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CLAUDE_3_OPUS = "claude-3-opus-20240229"
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CLAUDE_3_HAIKU = "claude-3-haiku-20240307"
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CLAUDE_3_5_SONNET_2024_06_20 = "claude-3-5-sonnet-20240620"
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BEDROCK_LLM_MODELID_LIST = {Llm.CLAUDE_3_5_SONNET: 'anthropic.claude-3-sonnet-20240229-v1:0',
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Llm.CLAUDE_3_SONNET: 'anthropic.claude-3-5-sonnet-20240620-v1:0',}
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# Will throw errors if you send a garbage string
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def convert_frontend_str_to_llm(frontend_str: str) -> Llm:
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if frontend_str == "gpt_4_vision":
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return Llm.GPT_4_VISION
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elif frontend_str == "claude_3_sonnet":
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return Llm.CLAUDE_3_SONNET
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elif frontend_str == "claude_3_5_sonnet":
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return Llm.CLAUDE_3_5_SONNET
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else:
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return Llm(frontend_str)
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@ -38,7 +62,7 @@ async def stream_openai_response(
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model: Llm,
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) -> str:
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client = AsyncOpenAI(api_key=api_key, base_url=base_url)
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print(f"--stream_openai_response--{model}")
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# Base parameters
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params = {
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"model": model.value,
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@ -75,16 +99,15 @@ async def stream_openai_response(
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return full_response
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# TODO: Have a seperate function that translates OpenAI messages to Claude messages
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async def stream_claude_response(
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messages: List[ChatCompletionMessageParam],
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api_key: str,
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callback: Callable[[str], Awaitable[None]],
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model: Llm,
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) -> str:
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client = AsyncAnthropic(api_key=api_key)
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print(f"--stream_openai_response--{model}")
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# client = AsyncAnthropic(api_key=api_key)
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modelId = BEDROCK_LLM_MODELID_LIST[model]
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# Base parameters
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max_tokens = 4096
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temperature = 0.0
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@ -112,28 +135,44 @@ async def stream_claude_response(
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content["source"] = {
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"type": "base64",
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"media_type": media_type,
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"data": base64_data,
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"data": base64_data
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}
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payload = {
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"modelId": modelId,
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"contentType": "application/json",
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"accept": "application/json",
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"body": {
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"anthropic_version": "bedrock-2023-05-31",
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"max_tokens": max_tokens,
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"messages": claude_messages,
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"temperature":temperature,
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"system":system_prompt,
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}
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}
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# Convert the payload to bytes
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body_bytes = json.dumps(payload['body']).encode('utf-8')
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# Invoke the model
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response = bedrock_runtime.invoke_model_with_response_stream(
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body=body_bytes, modelId=payload['modelId'], accept=payload['accept'], contentType=payload['contentType']
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)
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stream = response.get('body')
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chunk_obj = {}
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# Stream Claude response
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async with client.messages.stream(
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model=model.value,
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max_tokens=max_tokens,
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temperature=temperature,
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system=system_prompt,
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messages=claude_messages, # type: ignore
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) as stream:
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async for text in stream.text_stream:
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await callback(text)
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response_text = ''
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if stream:
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for event in stream:
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chunk = event.get('chunk')
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if chunk:
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chunk_obj = json.loads(chunk.get('bytes').decode())
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if chunk_obj['delta']['type'] == 'text_delta':
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response_text += chunk_obj['delta']['text']
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await callback(chunk_obj['delta']['text'])
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# Return final message
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response = await stream.get_final_message()
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# Close the Anthropic client
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await client.close()
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return response.content[0].text
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response = response_text
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return response
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async def stream_claude_response_native(
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system_prompt: str,
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@ -141,10 +180,11 @@ async def stream_claude_response_native(
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api_key: str,
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callback: Callable[[str], Awaitable[None]],
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include_thinking: bool = False,
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model: Llm = Llm.CLAUDE_3_OPUS,
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model: Llm = Llm.CLAUDE_3_5_SONNET,
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) -> str:
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client = AsyncAnthropic(api_key=api_key)
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# client = AsyncAnthropic(api_key=api_key)
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modelId = BEDROCK_LLM_MODELID_LIST[model]
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# Base model parameters
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max_tokens = 4096
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@ -171,22 +211,52 @@ async def stream_claude_response_native(
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else messages
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)
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pprint_prompt(messages_to_send)
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# pprint_prompt(messages_to_send)
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async with client.messages.stream(
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model=model.value,
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max_tokens=max_tokens,
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temperature=temperature,
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system=system_prompt,
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messages=messages_to_send, # type: ignore
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) as stream:
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async for text in stream.text_stream:
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print(text, end="", flush=True)
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full_stream += text
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await callback(text)
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payload = {
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"modelId": modelId,
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"contentType": "application/json",
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"accept": "application/json",
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"body": {
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"anthropic_version": "bedrock-2023-05-31",
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"max_tokens": max_tokens,
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"messages": messages_to_send,
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"temperature":temperature,
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"system":system_prompt,
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}
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}
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# Convert the payload to bytes
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body_bytes = json.dumps(payload['body']).encode('utf-8')
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response = await stream.get_final_message()
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response_text = response.content[0].text
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# Invoke the model
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response = bedrock_runtime.invoke_model_with_response_stream(
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body=body_bytes, modelId=payload['modelId'], accept=payload['accept'], contentType=payload['contentType']
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)
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stream = response.get('body')
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chunk_obj = {}
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# Stream Claude response
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response_text = ''
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input_tokens= 0
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output_tokens = 0
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if stream:
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for event in stream:
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chunk = event.get('chunk')
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if chunk:
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chunk_obj = json.loads(chunk.get('bytes').decode())
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# print(chunk_obj)
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if chunk_obj['type'] == 'message_delta':
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print(f"\nStop reason: {chunk_obj['delta']['stop_reason']}")
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print(f"Stop sequence: {chunk_obj['delta']['stop_sequence']}")
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print(f"Output tokens: {chunk_obj['usage']['output_tokens']}")
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output_tokens = chunk_obj['usage']['output_tokens']
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if chunk_obj['type'] == 'content_block_delta':
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if chunk_obj['delta']['type'] == 'text_delta':
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print(chunk_obj['delta']['text'], end="")
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response_text += chunk_obj['delta']['text']
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await callback(chunk_obj['delta']['text'])
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print(response_text)
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# Write each pass's code to .html file and thinking to .txt file
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if IS_DEBUG_ENABLED:
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@ -201,7 +271,7 @@ async def stream_claude_response_native(
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# Set up messages array for next pass
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messages += [
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{"role": "assistant", "content": str(prefix) + response.content[0].text},
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{"role": "assistant", "content": str(prefix) + response_text},
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{
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"role": "user",
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"content": "You've done a good job with a first draft. Improve this further based on the original instructions so that the app is fully functional and looks like the original video of the app we're trying to replicate.",
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@ -209,11 +279,12 @@ async def stream_claude_response_native(
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]
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print(
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f"Token usage: Input Tokens: {response.usage.input_tokens}, Output Tokens: {response.usage.output_tokens}"
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f"Token usage: Input Tokens: {input_tokens}, Output Tokens: {output_tokens}"
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)
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print(messages[-2:])
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# Close the Anthropic client
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await client.close()
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# await client.close()
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if IS_DEBUG_ENABLED:
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debug_file_writer.write_to_file("full_stream.txt", full_stream)
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@ -221,4 +292,4 @@ async def stream_claude_response_native(
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if not response:
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raise Exception("No HTML response found in AI response")
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else:
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return response.content[0].text
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return response_text
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660
backend/poetry.lock
generated
660
backend/poetry.lock
generated
@ -1,4 +1,4 @@
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||||
# This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand.
|
||||
# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand.
|
||||
|
||||
[[package]]
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||||
name = "anthropic"
|
||||
@ -67,6 +67,44 @@ charset-normalizer = ["charset-normalizer"]
|
||||
html5lib = ["html5lib"]
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||||
lxml = ["lxml"]
|
||||
|
||||
[[package]]
|
||||
name = "boto3"
|
||||
version = "1.34.108"
|
||||
description = "The AWS SDK for Python"
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "boto3-1.34.108-py3-none-any.whl", hash = "sha256:3601267d76cac17f1d4595c3d8d968dc15be074b79bfa3985187a02b328a0a5f"},
|
||||
{file = "boto3-1.34.108.tar.gz", hash = "sha256:677723295151d29ff9b363598a20c1997c4e2af7e50669d9e428b757fe586a10"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
botocore = ">=1.34.108,<1.35.0"
|
||||
jmespath = ">=0.7.1,<2.0.0"
|
||||
s3transfer = ">=0.10.0,<0.11.0"
|
||||
|
||||
[package.extras]
|
||||
crt = ["botocore[crt] (>=1.21.0,<2.0a0)"]
|
||||
|
||||
[[package]]
|
||||
name = "botocore"
|
||||
version = "1.34.108"
|
||||
description = "Low-level, data-driven core of boto 3."
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "botocore-1.34.108-py3-none-any.whl", hash = "sha256:b1b9d00804267669c5fcc36489269f7e9c43580c30f0885fbf669cf73cec720b"},
|
||||
{file = "botocore-1.34.108.tar.gz", hash = "sha256:384c9408c447631475dc41fdc9bf2e0f30c29c420d96bfe8b468bdc2bace3e13"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
jmespath = ">=0.7.1,<2.0.0"
|
||||
python-dateutil = ">=2.1,<3.0.0"
|
||||
urllib3 = {version = ">=1.25.4,<2.2.0 || >2.2.0,<3", markers = "python_version >= \"3.10\""}
|
||||
|
||||
[package.extras]
|
||||
crt = ["awscrt (==0.20.9)"]
|
||||
|
||||
[[package]]
|
||||
name = "certifi"
|
||||
version = "2024.2.2"
|
||||
@ -248,13 +286,13 @@ files = [
|
||||
|
||||
[[package]]
|
||||
name = "exceptiongroup"
|
||||
version = "1.2.0"
|
||||
version = "1.2.1"
|
||||
description = "Backport of PEP 654 (exception groups)"
|
||||
optional = false
|
||||
python-versions = ">=3.7"
|
||||
files = [
|
||||
{file = "exceptiongroup-1.2.0-py3-none-any.whl", hash = "sha256:4bfd3996ac73b41e9b9628b04e079f193850720ea5945fc96a08633c66912f14"},
|
||||
{file = "exceptiongroup-1.2.0.tar.gz", hash = "sha256:91f5c769735f051a4290d52edd0858999b57e5876e9f85937691bd4c9fa3ed68"},
|
||||
{file = "exceptiongroup-1.2.1-py3-none-any.whl", hash = "sha256:5258b9ed329c5bbdd31a309f53cbfb0b155341807f6ff7606a1e801a891b29ad"},
|
||||
{file = "exceptiongroup-1.2.1.tar.gz", hash = "sha256:a4785e48b045528f5bfe627b6ad554ff32def154f42372786903b7abcfe1aa16"},
|
||||
]
|
||||
|
||||
[package.extras]
|
||||
@ -283,29 +321,29 @@ test = ["anyio[trio] (>=3.2.1,<4.0.0)", "black (==23.1.0)", "coverage[toml] (>=6
|
||||
|
||||
[[package]]
|
||||
name = "filelock"
|
||||
version = "3.13.1"
|
||||
version = "3.14.0"
|
||||
description = "A platform independent file lock."
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "filelock-3.13.1-py3-none-any.whl", hash = "sha256:57dbda9b35157b05fb3e58ee91448612eb674172fab98ee235ccb0b5bee19a1c"},
|
||||
{file = "filelock-3.13.1.tar.gz", hash = "sha256:521f5f56c50f8426f5e03ad3b281b490a87ef15bc6c526f168290f0c7148d44e"},
|
||||
{file = "filelock-3.14.0-py3-none-any.whl", hash = "sha256:43339835842f110ca7ae60f1e1c160714c5a6afd15a2873419ab185334975c0f"},
|
||||
{file = "filelock-3.14.0.tar.gz", hash = "sha256:6ea72da3be9b8c82afd3edcf99f2fffbb5076335a5ae4d03248bb5b6c3eae78a"},
|
||||
]
|
||||
|
||||
[package.extras]
|
||||
docs = ["furo (>=2023.9.10)", "sphinx (>=7.2.6)", "sphinx-autodoc-typehints (>=1.24)"]
|
||||
testing = ["covdefaults (>=2.3)", "coverage (>=7.3.2)", "diff-cover (>=8)", "pytest (>=7.4.3)", "pytest-cov (>=4.1)", "pytest-mock (>=3.12)", "pytest-timeout (>=2.2)"]
|
||||
docs = ["furo (>=2023.9.10)", "sphinx (>=7.2.6)", "sphinx-autodoc-typehints (>=1.25.2)"]
|
||||
testing = ["covdefaults (>=2.3)", "coverage (>=7.3.2)", "diff-cover (>=8.0.1)", "pytest (>=7.4.3)", "pytest-cov (>=4.1)", "pytest-mock (>=3.12)", "pytest-timeout (>=2.2)"]
|
||||
typing = ["typing-extensions (>=4.8)"]
|
||||
|
||||
[[package]]
|
||||
name = "fsspec"
|
||||
version = "2024.2.0"
|
||||
version = "2024.5.0"
|
||||
description = "File-system specification"
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "fsspec-2024.2.0-py3-none-any.whl", hash = "sha256:817f969556fa5916bc682e02ca2045f96ff7f586d45110fcb76022063ad2c7d8"},
|
||||
{file = "fsspec-2024.2.0.tar.gz", hash = "sha256:b6ad1a679f760dda52b1168c859d01b7b80648ea6f7f7c7f5a8a91dc3f3ecb84"},
|
||||
{file = "fsspec-2024.5.0-py3-none-any.whl", hash = "sha256:e0fdbc446d67e182f49a70b82cf7889028a63588fde6b222521f10937b2b670c"},
|
||||
{file = "fsspec-2024.5.0.tar.gz", hash = "sha256:1d021b0b0f933e3b3029ed808eb400c08ba101ca2de4b3483fbc9ca23fcee94a"},
|
||||
]
|
||||
|
||||
[package.extras]
|
||||
@ -313,7 +351,7 @@ abfs = ["adlfs"]
|
||||
adl = ["adlfs"]
|
||||
arrow = ["pyarrow (>=1)"]
|
||||
dask = ["dask", "distributed"]
|
||||
devel = ["pytest", "pytest-cov"]
|
||||
dev = ["pre-commit", "ruff"]
|
||||
dropbox = ["dropbox", "dropboxdrivefs", "requests"]
|
||||
full = ["adlfs", "aiohttp (!=4.0.0a0,!=4.0.0a1)", "dask", "distributed", "dropbox", "dropboxdrivefs", "fusepy", "gcsfs", "libarchive-c", "ocifs", "panel", "paramiko", "pyarrow (>=1)", "pygit2", "requests", "s3fs", "smbprotocol", "tqdm"]
|
||||
fuse = ["fusepy"]
|
||||
@ -330,6 +368,9 @@ s3 = ["s3fs"]
|
||||
sftp = ["paramiko"]
|
||||
smb = ["smbprotocol"]
|
||||
ssh = ["paramiko"]
|
||||
test = ["aiohttp (!=4.0.0a0,!=4.0.0a1)", "numpy", "pytest", "pytest-asyncio (!=0.22.0)", "pytest-benchmark", "pytest-cov", "pytest-mock", "pytest-recording", "pytest-rerunfailures", "requests"]
|
||||
test-downstream = ["aiobotocore (>=2.5.4,<3.0.0)", "dask-expr", "dask[dataframe,test]", "moto[server] (>4,<5)", "pytest-timeout", "xarray"]
|
||||
test-full = ["adlfs", "aiohttp (!=4.0.0a0,!=4.0.0a1)", "cloudpickle", "dask", "distributed", "dropbox", "dropboxdrivefs", "fastparquet", "fusepy", "gcsfs", "jinja2", "kerchunk", "libarchive-c", "lz4", "notebook", "numpy", "ocifs", "pandas", "panel", "paramiko", "pyarrow", "pyarrow (>=1)", "pyftpdlib", "pygit2", "pytest", "pytest-asyncio (!=0.22.0)", "pytest-benchmark", "pytest-cov", "pytest-mock", "pytest-recording", "pytest-rerunfailures", "python-snappy", "requests", "smbprotocol", "tqdm", "urllib3", "zarr", "zstandard"]
|
||||
tqdm = ["tqdm"]
|
||||
|
||||
[[package]]
|
||||
@ -345,13 +386,13 @@ files = [
|
||||
|
||||
[[package]]
|
||||
name = "httpcore"
|
||||
version = "1.0.4"
|
||||
version = "1.0.5"
|
||||
description = "A minimal low-level HTTP client."
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "httpcore-1.0.4-py3-none-any.whl", hash = "sha256:ac418c1db41bade2ad53ae2f3834a3a0f5ae76b56cf5aa497d2d033384fc7d73"},
|
||||
{file = "httpcore-1.0.4.tar.gz", hash = "sha256:cb2839ccfcba0d2d3c1131d3c3e26dfc327326fbe7a5dc0dbfe9f6c9151bb022"},
|
||||
{file = "httpcore-1.0.5-py3-none-any.whl", hash = "sha256:421f18bac248b25d310f3cacd198d55b8e6125c107797b609ff9b7a6ba7991b5"},
|
||||
{file = "httpcore-1.0.5.tar.gz", hash = "sha256:34a38e2f9291467ee3b44e89dd52615370e152954ba21721378a87b2960f7a61"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
@ -362,7 +403,7 @@ h11 = ">=0.13,<0.15"
|
||||
asyncio = ["anyio (>=4.0,<5.0)"]
|
||||
http2 = ["h2 (>=3,<5)"]
|
||||
socks = ["socksio (==1.*)"]
|
||||
trio = ["trio (>=0.22.0,<0.25.0)"]
|
||||
trio = ["trio (>=0.22.0,<0.26.0)"]
|
||||
|
||||
[[package]]
|
||||
name = "httpx"
|
||||
@ -390,13 +431,13 @@ socks = ["socksio (==1.*)"]
|
||||
|
||||
[[package]]
|
||||
name = "huggingface-hub"
|
||||
version = "0.21.4"
|
||||
version = "0.23.0"
|
||||
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-0.21.4-py3-none-any.whl", hash = "sha256:df37c2c37fc6c82163cdd8a67ede261687d80d1e262526d6c0ce73b6b3630a7b"},
|
||||
{file = "huggingface_hub-0.21.4.tar.gz", hash = "sha256:e1f4968c93726565a80edf6dc309763c7b546d0cfe79aa221206034d50155531"},
|
||||
{file = "huggingface_hub-0.23.0-py3-none-any.whl", hash = "sha256:075c30d48ee7db2bba779190dc526d2c11d422aed6f9044c5e2fdc2c432fdb91"},
|
||||
{file = "huggingface_hub-0.23.0.tar.gz", hash = "sha256:7126dedd10a4c6fac796ced4d87a8cf004efc722a5125c2c09299017fa366fa9"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
@ -409,27 +450,28 @@ tqdm = ">=4.42.1"
|
||||
typing-extensions = ">=3.7.4.3"
|
||||
|
||||
[package.extras]
|
||||
all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "mypy (==1.5.1)", "numpy", "pydantic (>1.1,<2.0)", "pydantic (>1.1,<3.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.1.3)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
|
||||
all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "fastapi", "gradio", "jedi", "minijinja (>=1.0)", "mypy (==1.5.1)", "numpy", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.3.0)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
|
||||
cli = ["InquirerPy (==0.3.4)"]
|
||||
dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "mypy (==1.5.1)", "numpy", "pydantic (>1.1,<2.0)", "pydantic (>1.1,<3.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.1.3)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
|
||||
dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "fastapi", "gradio", "jedi", "minijinja (>=1.0)", "mypy (==1.5.1)", "numpy", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.3.0)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
|
||||
fastai = ["fastai (>=2.4)", "fastcore (>=1.3.27)", "toml"]
|
||||
hf-transfer = ["hf-transfer (>=0.1.4)"]
|
||||
inference = ["aiohttp", "pydantic (>1.1,<2.0)", "pydantic (>1.1,<3.0)"]
|
||||
quality = ["mypy (==1.5.1)", "ruff (>=0.1.3)"]
|
||||
inference = ["aiohttp", "minijinja (>=1.0)"]
|
||||
quality = ["mypy (==1.5.1)", "ruff (>=0.3.0)"]
|
||||
tensorflow = ["graphviz", "pydot", "tensorflow"]
|
||||
testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "numpy", "pydantic (>1.1,<2.0)", "pydantic (>1.1,<3.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"]
|
||||
tensorflow-testing = ["keras (<3.0)", "tensorflow"]
|
||||
testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "fastapi", "gradio", "jedi", "minijinja (>=1.0)", "numpy", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"]
|
||||
torch = ["safetensors", "torch"]
|
||||
typing = ["types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)"]
|
||||
|
||||
[[package]]
|
||||
name = "identify"
|
||||
version = "2.5.35"
|
||||
version = "2.5.36"
|
||||
description = "File identification library for Python"
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "identify-2.5.35-py2.py3-none-any.whl", hash = "sha256:c4de0081837b211594f8e877a6b4fad7ca32bbfc1a9307fdd61c28bfe923f13e"},
|
||||
{file = "identify-2.5.35.tar.gz", hash = "sha256:10a7ca245cfcd756a554a7288159f72ff105ad233c7c4b9c6f0f4d108f5f6791"},
|
||||
{file = "identify-2.5.36-py2.py3-none-any.whl", hash = "sha256:37d93f380f4de590500d9dba7db359d0d3da95ffe7f9de1753faa159e71e7dfa"},
|
||||
{file = "identify-2.5.36.tar.gz", hash = "sha256:e5e00f54165f9047fbebeb4a560f9acfb8af4c88232be60a488e9b68d122745d"},
|
||||
]
|
||||
|
||||
[package.extras]
|
||||
@ -437,24 +479,24 @@ license = ["ukkonen"]
|
||||
|
||||
[[package]]
|
||||
name = "idna"
|
||||
version = "3.6"
|
||||
version = "3.7"
|
||||
description = "Internationalized Domain Names in Applications (IDNA)"
|
||||
optional = false
|
||||
python-versions = ">=3.5"
|
||||
files = [
|
||||
{file = "idna-3.6-py3-none-any.whl", hash = "sha256:c05567e9c24a6b9faaa835c4821bad0590fbb9d5779e7caa6e1cc4978e7eb24f"},
|
||||
{file = "idna-3.6.tar.gz", hash = "sha256:9ecdbbd083b06798ae1e86adcbfe8ab1479cf864e4ee30fe4e46a003d12491ca"},
|
||||
{file = "idna-3.7-py3-none-any.whl", hash = "sha256:82fee1fc78add43492d3a1898bfa6d8a904cc97d8427f683ed8e798d07761aa0"},
|
||||
{file = "idna-3.7.tar.gz", hash = "sha256:028ff3aadf0609c1fd278d8ea3089299412a7a8b9bd005dd08b9f8285bcb5cfc"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "imageio"
|
||||
version = "2.34.0"
|
||||
version = "2.34.1"
|
||||
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"},
|
||||
{file = "imageio-2.34.1-py3-none-any.whl", hash = "sha256:408c1d4d62f72c9e8347e7d1ca9bc11d8673328af3913868db3b828e28b40a4c"},
|
||||
{file = "imageio-2.34.1.tar.gz", hash = "sha256:f13eb76e4922f936ac4a7fec77ce8a783e63b93543d4ea3e40793a6cabd9ac7d"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
@ -507,6 +549,17 @@ files = [
|
||||
{file = "iniconfig-2.0.0.tar.gz", hash = "sha256:2d91e135bf72d31a410b17c16da610a82cb55f6b0477d1a902134b24a455b8b3"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "jmespath"
|
||||
version = "1.0.1"
|
||||
description = "JSON Matching Expressions"
|
||||
optional = false
|
||||
python-versions = ">=3.7"
|
||||
files = [
|
||||
{file = "jmespath-1.0.1-py3-none-any.whl", hash = "sha256:02e2e4cc71b5bcab88332eebf907519190dd9e6e82107fa7f83b1003a6252980"},
|
||||
{file = "jmespath-1.0.1.tar.gz", hash = "sha256:90261b206d6defd58fdd5e85f478bf633a2901798906be2ad389150c5c60edbe"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "moviepy"
|
||||
version = "1.0.3"
|
||||
@ -592,13 +645,13 @@ files = [
|
||||
|
||||
[[package]]
|
||||
name = "openai"
|
||||
version = "1.14.0"
|
||||
version = "1.30.1"
|
||||
description = "The official Python library for the openai API"
|
||||
optional = false
|
||||
python-versions = ">=3.7.1"
|
||||
files = [
|
||||
{file = "openai-1.14.0-py3-none-any.whl", hash = "sha256:5c9fd3a59f5cbdb4020733ddf79a22f6b7a36d561968cb3f3dd255cdd263d9fe"},
|
||||
{file = "openai-1.14.0.tar.gz", hash = "sha256:e287057adf0ec3315abc32ddcc968d095879abd9b68bf51c0402dab13ab5ae9b"},
|
||||
{file = "openai-1.30.1-py3-none-any.whl", hash = "sha256:c9fb3c3545c118bbce8deb824397b9433a66d0d0ede6a96f7009c95b76de4a46"},
|
||||
{file = "openai-1.30.1.tar.gz", hash = "sha256:4f85190e577cba0b066e1950b8eb9b11d25bc7ebcc43a86b326ce1bfa564ec74"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
@ -626,79 +679,80 @@ files = [
|
||||
|
||||
[[package]]
|
||||
name = "pillow"
|
||||
version = "10.2.0"
|
||||
version = "10.3.0"
|
||||
description = "Python Imaging Library (Fork)"
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "pillow-10.2.0-cp310-cp310-macosx_10_10_x86_64.whl", hash = "sha256:7823bdd049099efa16e4246bdf15e5a13dbb18a51b68fa06d6c1d4d8b99a796e"},
|
||||
{file = "pillow-10.2.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:83b2021f2ade7d1ed556bc50a399127d7fb245e725aa0113ebd05cfe88aaf588"},
|
||||
{file = "pillow-10.2.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6fad5ff2f13d69b7e74ce5b4ecd12cc0ec530fcee76356cac6742785ff71c452"},
|
||||
{file = "pillow-10.2.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:da2b52b37dad6d9ec64e653637a096905b258d2fc2b984c41ae7d08b938a67e4"},
|
||||
{file = "pillow-10.2.0-cp310-cp310-manylinux_2_28_aarch64.whl", hash = "sha256:47c0995fc4e7f79b5cfcab1fc437ff2890b770440f7696a3ba065ee0fd496563"},
|
||||
{file = "pillow-10.2.0-cp310-cp310-manylinux_2_28_x86_64.whl", hash = "sha256:322bdf3c9b556e9ffb18f93462e5f749d3444ce081290352c6070d014c93feb2"},
|
||||
{file = "pillow-10.2.0-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:51f1a1bffc50e2e9492e87d8e09a17c5eea8409cda8d3f277eb6edc82813c17c"},
|
||||
{file = "pillow-10.2.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:69ffdd6120a4737710a9eee73e1d2e37db89b620f702754b8f6e62594471dee0"},
|
||||
{file = "pillow-10.2.0-cp310-cp310-win32.whl", hash = "sha256:c6dafac9e0f2b3c78df97e79af707cdc5ef8e88208d686a4847bab8266870023"},
|
||||
{file = "pillow-10.2.0-cp310-cp310-win_amd64.whl", hash = "sha256:aebb6044806f2e16ecc07b2a2637ee1ef67a11840a66752751714a0d924adf72"},
|
||||
{file = "pillow-10.2.0-cp310-cp310-win_arm64.whl", hash = "sha256:7049e301399273a0136ff39b84c3678e314f2158f50f517bc50285fb5ec847ad"},
|
||||
{file = "pillow-10.2.0-cp311-cp311-macosx_10_10_x86_64.whl", hash = "sha256:35bb52c37f256f662abdfa49d2dfa6ce5d93281d323a9af377a120e89a9eafb5"},
|
||||
{file = "pillow-10.2.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:9c23f307202661071d94b5e384e1e1dc7dfb972a28a2310e4ee16103e66ddb67"},
|
||||
{file = "pillow-10.2.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:773efe0603db30c281521a7c0214cad7836c03b8ccff897beae9b47c0b657d61"},
|
||||
{file = "pillow-10.2.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:11fa2e5984b949b0dd6d7a94d967743d87c577ff0b83392f17cb3990d0d2fd6e"},
|
||||
{file = "pillow-10.2.0-cp311-cp311-manylinux_2_28_aarch64.whl", hash = "sha256:716d30ed977be8b37d3ef185fecb9e5a1d62d110dfbdcd1e2a122ab46fddb03f"},
|
||||
{file = "pillow-10.2.0-cp311-cp311-manylinux_2_28_x86_64.whl", hash = "sha256:a086c2af425c5f62a65e12fbf385f7c9fcb8f107d0849dba5839461a129cf311"},
|
||||
{file = "pillow-10.2.0-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:c8de2789052ed501dd829e9cae8d3dcce7acb4777ea4a479c14521c942d395b1"},
|
||||
{file = "pillow-10.2.0-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:609448742444d9290fd687940ac0b57fb35e6fd92bdb65386e08e99af60bf757"},
|
||||
{file = "pillow-10.2.0-cp311-cp311-win32.whl", hash = "sha256:823ef7a27cf86df6597fa0671066c1b596f69eba53efa3d1e1cb8b30f3533068"},
|
||||
{file = "pillow-10.2.0-cp311-cp311-win_amd64.whl", hash = "sha256:1da3b2703afd040cf65ec97efea81cfba59cdbed9c11d8efc5ab09df9509fc56"},
|
||||
{file = "pillow-10.2.0-cp311-cp311-win_arm64.whl", hash = "sha256:edca80cbfb2b68d7b56930b84a0e45ae1694aeba0541f798e908a49d66b837f1"},
|
||||
{file = "pillow-10.2.0-cp312-cp312-macosx_10_10_x86_64.whl", hash = "sha256:1b5e1b74d1bd1b78bc3477528919414874748dd363e6272efd5abf7654e68bef"},
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||||
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||||
[package.extras]
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||||
@ -711,28 +765,29 @@ xmp = ["defusedxml"]
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||||
|
||||
[[package]]
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||||
name = "platformdirs"
|
||||
version = "4.2.0"
|
||||
description = "A small Python package for determining appropriate platform-specific dirs, e.g. a \"user data dir\"."
|
||||
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||||
description = "A small Python package for determining appropriate platform-specific dirs, e.g. a `user data dir`."
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||||
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||||
type = ["mypy (>=1.8)"]
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||||
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[[package]]
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||||
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||||
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[package.extras]
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[[package]]
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[package.dependencies]
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[[package]]
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||||
|
||||
[[package]]
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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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@ -863,6 +918,20 @@ tomli = {version = ">=1.0.0", markers = "python_version < \"3.11\""}
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[package.extras]
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||||
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|
||||
[[package]]
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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]]
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@ -902,6 +971,7 @@ files = [
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|
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[[package]]
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||||
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|
||||
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||||
description = "An Amazon S3 Transfer Manager"
|
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[package.dependencies]
|
||||
botocore = ">=1.33.2,<2.0a.0"
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[package.extras]
|
||||
crt = ["botocore[crt] (>=1.33.2,<2.0a.0)"]
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[[package]]
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[package.extras]
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|
||||
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||||
[[package]]
|
||||
name = "six"
|
||||
version = "1.16.0"
|
||||
description = "Python 2 and 3 compatibility utilities"
|
||||
optional = false
|
||||
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*"
|
||||
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@ -1014,130 +1112,120 @@ full = ["httpx (>=0.22.0)", "itsdangerous", "jinja2", "python-multipart", "pyyam
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||||
|
||||
[[package]]
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||||
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|
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{file = "tokenizers-0.19.1-pp37-pypy37_pp73-macosx_10_12_x86_64.whl", hash = "sha256:b4399b59d1af5645bcee2072a463318114c39b8547437a7c2d6a186a1b5a0e2d"},
|
||||
{file = "tokenizers-0.19.1-pp37-pypy37_pp73-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:6852c5b2a853b8b0ddc5993cd4f33bfffdca4fcc5d52f89dd4b8eada99379285"},
|
||||
{file = "tokenizers-0.19.1-pp37-pypy37_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:bcd266ae85c3d39df2f7e7d0e07f6c41a55e9a3123bb11f854412952deacd828"},
|
||||
{file = "tokenizers-0.19.1-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ecb2651956eea2aa0a2d099434134b1b68f1c31f9a5084d6d53f08ed43d45ff2"},
|
||||
{file = "tokenizers-0.19.1-pp37-pypy37_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:b279ab506ec4445166ac476fb4d3cc383accde1ea152998509a94d82547c8e2a"},
|
||||
{file = "tokenizers-0.19.1-pp37-pypy37_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:89183e55fb86e61d848ff83753f64cded119f5d6e1f553d14ffee3700d0a4a49"},
|
||||
{file = "tokenizers-0.19.1-pp38-pypy38_pp73-macosx_10_12_x86_64.whl", hash = "sha256:b2edbc75744235eea94d595a8b70fe279dd42f3296f76d5a86dde1d46e35f574"},
|
||||
{file = "tokenizers-0.19.1-pp38-pypy38_pp73-macosx_11_0_arm64.whl", hash = "sha256:0e64bfde9a723274e9a71630c3e9494ed7b4c0f76a1faacf7fe294cd26f7ae7c"},
|
||||
{file = "tokenizers-0.19.1-pp38-pypy38_pp73-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:0b5ca92bfa717759c052e345770792d02d1f43b06f9e790ca0a1db62838816f3"},
|
||||
{file = "tokenizers-0.19.1-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6f8a20266e695ec9d7a946a019c1d5ca4eddb6613d4f466888eee04f16eedb85"},
|
||||
{file = "tokenizers-0.19.1-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:63c38f45d8f2a2ec0f3a20073cccb335b9f99f73b3c69483cd52ebc75369d8a1"},
|
||||
{file = "tokenizers-0.19.1-pp38-pypy38_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:dd26e3afe8a7b61422df3176e06664503d3f5973b94f45d5c45987e1cb711876"},
|
||||
{file = "tokenizers-0.19.1-pp38-pypy38_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:eddd5783a4a6309ce23432353cdb36220e25cbb779bfa9122320666508b44b88"},
|
||||
{file = "tokenizers-0.19.1-pp39-pypy39_pp73-macosx_10_12_x86_64.whl", hash = "sha256:56ae39d4036b753994476a1b935584071093b55c7a72e3b8288e68c313ca26e7"},
|
||||
{file = "tokenizers-0.19.1-pp39-pypy39_pp73-macosx_11_0_arm64.whl", hash = "sha256:f9939ca7e58c2758c01b40324a59c034ce0cebad18e0d4563a9b1beab3018243"},
|
||||
{file = "tokenizers-0.19.1-pp39-pypy39_pp73-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:6c330c0eb815d212893c67a032e9dc1b38a803eccb32f3e8172c19cc69fbb439"},
|
||||
{file = "tokenizers-0.19.1-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ec11802450a2487cdf0e634b750a04cbdc1c4d066b97d94ce7dd2cb51ebb325b"},
|
||||
{file = "tokenizers-0.19.1-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a2b718f316b596f36e1dae097a7d5b91fc5b85e90bf08b01ff139bd8953b25af"},
|
||||
{file = "tokenizers-0.19.1-pp39-pypy39_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:ed69af290c2b65169f0ba9034d1dc39a5db9459b32f1dd8b5f3f32a3fcf06eab"},
|
||||
{file = "tokenizers-0.19.1-pp39-pypy39_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:f8a9c828277133af13f3859d1b6bf1c3cb6e9e1637df0e45312e6b7c2e622b1f"},
|
||||
{file = "tokenizers-0.19.1.tar.gz", hash = "sha256:ee59e6680ed0fdbe6b724cf38bd70400a0c1dd623b07ac729087270caeac88e3"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
huggingface_hub = ">=0.16.4,<1.0"
|
||||
huggingface-hub = ">=0.16.4,<1.0"
|
||||
|
||||
[package.extras]
|
||||
dev = ["tokenizers[testing]"]
|
||||
docs = ["setuptools_rust", "sphinx", "sphinx_rtd_theme"]
|
||||
testing = ["black (==22.3)", "datasets", "numpy", "pytest", "requests"]
|
||||
docs = ["setuptools-rust", "sphinx", "sphinx-rtd-theme"]
|
||||
testing = ["black (==22.3)", "datasets", "numpy", "pytest", "requests", "ruff"]
|
||||
|
||||
[[package]]
|
||||
name = "tomli"
|
||||
@ -1152,13 +1240,13 @@ files = [
|
||||
|
||||
[[package]]
|
||||
name = "tqdm"
|
||||
version = "4.66.2"
|
||||
version = "4.66.4"
|
||||
description = "Fast, Extensible Progress Meter"
|
||||
optional = false
|
||||
python-versions = ">=3.7"
|
||||
files = [
|
||||
{file = "tqdm-4.66.2-py3-none-any.whl", hash = "sha256:1ee4f8a893eb9bef51c6e35730cebf234d5d0b6bd112b0271e10ed7c24a02bd9"},
|
||||
{file = "tqdm-4.66.2.tar.gz", hash = "sha256:6cd52cdf0fef0e0f543299cfc96fec90d7b8a7e88745f411ec33eb44d5ed3531"},
|
||||
{file = "tqdm-4.66.4-py3-none-any.whl", hash = "sha256:b75ca56b413b030bc3f00af51fd2c1a1a5eac6a0c1cca83cbb37a5c52abce644"},
|
||||
{file = "tqdm-4.66.4.tar.gz", hash = "sha256:e4d936c9de8727928f3be6079590e97d9abfe8d39a590be678eb5919ffc186bb"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
@ -1172,13 +1260,13 @@ telegram = ["requests"]
|
||||
|
||||
[[package]]
|
||||
name = "typing-extensions"
|
||||
version = "4.10.0"
|
||||
version = "4.11.0"
|
||||
description = "Backported and Experimental Type Hints for Python 3.8+"
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "typing_extensions-4.10.0-py3-none-any.whl", hash = "sha256:69b1a937c3a517342112fb4c6df7e72fc39a38e7891a5730ed4985b5214b5475"},
|
||||
{file = "typing_extensions-4.10.0.tar.gz", hash = "sha256:b0abd7c89e8fb96f98db18d86106ff1d90ab692004eb746cf6eda2682f91b3cb"},
|
||||
{file = "typing_extensions-4.11.0-py3-none-any.whl", hash = "sha256:c1f94d72897edaf4ce775bb7558d5b79d8126906a14ea5ed1635921406c0387a"},
|
||||
{file = "typing_extensions-4.11.0.tar.gz", hash = "sha256:83f085bd5ca59c80295fc2a82ab5dac679cbe02b9f33f7d83af68e241bea51b0"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
@ -1219,13 +1307,13 @@ standard = ["colorama (>=0.4)", "httptools (>=0.5.0)", "python-dotenv (>=0.13)",
|
||||
|
||||
[[package]]
|
||||
name = "virtualenv"
|
||||
version = "20.25.1"
|
||||
version = "20.26.2"
|
||||
description = "Virtual Python Environment builder"
|
||||
optional = false
|
||||
python-versions = ">=3.7"
|
||||
files = [
|
||||
{file = "virtualenv-20.25.1-py3-none-any.whl", hash = "sha256:961c026ac520bac5f69acb8ea063e8a4f071bcc9457b9c1f28f6b085c511583a"},
|
||||
{file = "virtualenv-20.25.1.tar.gz", hash = "sha256:e08e13ecdca7a0bd53798f356d5831434afa5b07b93f0abdf0797b7a06ffe197"},
|
||||
{file = "virtualenv-20.26.2-py3-none-any.whl", hash = "sha256:a624db5e94f01ad993d476b9ee5346fdf7b9de43ccaee0e0197012dc838a0e9b"},
|
||||
{file = "virtualenv-20.26.2.tar.gz", hash = "sha256:82bf0f4eebbb78d36ddaee0283d43fe5736b53880b8a8cdcd37390a07ac3741c"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
@ -1234,7 +1322,7 @@ filelock = ">=3.12.2,<4"
|
||||
platformdirs = ">=3.9.1,<5"
|
||||
|
||||
[package.extras]
|
||||
docs = ["furo (>=2023.7.26)", "proselint (>=0.13)", "sphinx (>=7.1.2)", "sphinx-argparse (>=0.4)", "sphinxcontrib-towncrier (>=0.2.1a0)", "towncrier (>=23.6)"]
|
||||
docs = ["furo (>=2023.7.26)", "proselint (>=0.13)", "sphinx (>=7.1.2,!=7.3)", "sphinx-argparse (>=0.4)", "sphinxcontrib-towncrier (>=0.2.1a0)", "towncrier (>=23.6)"]
|
||||
test = ["covdefaults (>=2.3)", "coverage (>=7.2.7)", "coverage-enable-subprocess (>=1)", "flaky (>=3.7)", "packaging (>=23.1)", "pytest (>=7.4)", "pytest-env (>=0.8.2)", "pytest-freezer (>=0.4.8)", "pytest-mock (>=3.11.1)", "pytest-randomly (>=3.12)", "pytest-timeout (>=2.1)", "setuptools (>=68)", "time-machine (>=2.10)"]
|
||||
|
||||
[[package]]
|
||||
@ -1321,4 +1409,4 @@ files = [
|
||||
[metadata]
|
||||
lock-version = "2.0"
|
||||
python-versions = "^3.10"
|
||||
content-hash = "274fed55cf4a2f4e9954b3d196c103b72225409c6050759a939f0ca197ae3f79"
|
||||
content-hash = "a2cb382467188e923d985e5a07f6f4ba208065ab761275828b6ae08013afbec4"
|
||||
|
||||
@ -17,6 +17,8 @@ httpx = "^0.25.1"
|
||||
pre-commit = "^3.6.2"
|
||||
anthropic = "^0.18.0"
|
||||
moviepy = "^1.0.3"
|
||||
boto3 = '^1.34.108'
|
||||
botocore = '^1.34.108'
|
||||
|
||||
[tool.poetry.group.dev.dependencies]
|
||||
pytest = "^7.4.3"
|
||||
|
||||
@ -230,30 +230,31 @@ async def stream_code(websocket: WebSocket):
|
||||
else:
|
||||
try:
|
||||
if validated_input_mode == "video":
|
||||
if not anthropic_api_key:
|
||||
await throw_error(
|
||||
"Video only works with Anthropic models. No Anthropic API key found. Please add the environment variable ANTHROPIC_API_KEY to backend/.env or in the settings dialog"
|
||||
)
|
||||
raise Exception("No Anthropic key")
|
||||
|
||||
# if not ANTHROPIC_API_KEY:
|
||||
# await throw_error(
|
||||
# "Video only works with Anthropic models. 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=Llm.CLAUDE_3_OPUS,
|
||||
model=Llm.CLAUDE_3_5_SONNET,
|
||||
include_thinking=True,
|
||||
)
|
||||
exact_llm_version = Llm.CLAUDE_3_OPUS
|
||||
exact_llm_version = Llm.CLAUDE_3_5_SONNET
|
||||
elif (
|
||||
code_generation_model == Llm.CLAUDE_3_SONNET
|
||||
or code_generation_model == Llm.CLAUDE_3_5_SONNET_2024_06_20
|
||||
):
|
||||
if not anthropic_api_key:
|
||||
await throw_error(
|
||||
"No Anthropic API key found. Please add the environment variable ANTHROPIC_API_KEY to backend/.env or in the settings dialog"
|
||||
)
|
||||
raise Exception("No Anthropic key")
|
||||
# if not anthropic_api_key:
|
||||
# await throw_error(
|
||||
# "No Anthropic API key found. Please add the environment variable ANTHROPIC_API_KEY to backend/.env or in the settings dialog"
|
||||
# )
|
||||
# raise Exception("No Anthropic key")
|
||||
|
||||
completion = await stream_claude_response(
|
||||
prompt_messages, # type: ignore
|
||||
|
||||
@ -437,7 +437,7 @@ function App() {
|
||||
{showBetterModelMessage && (
|
||||
<div className="rounded-lg p-2 bg-fuchsia-200">
|
||||
<p className="text-gray-800 text-sm">
|
||||
Now supporting GPT-4o and Claude Sonnet 3.5. Higher quality and
|
||||
Now supporting Claude Sonnet 3.5. Higher quality and
|
||||
2x faster. Give it a try!
|
||||
</p>
|
||||
</div>
|
||||
|
||||
@ -1,20 +1,22 @@
|
||||
// Keep in sync with backend (llm.py)
|
||||
// Order here matches dropdown order
|
||||
export enum CodeGenerationModel {
|
||||
GPT_4O_2024_05_13 = "gpt-4o-2024-05-13",
|
||||
CLAUDE_3_5_SONNET_2024_06_20 = "claude-3-5-sonnet-20240620",
|
||||
// CLAUDE_3_5_SONNET = "claude_3_5_sonnet",
|
||||
CLAUDE_3_SONNET = "claude_3_sonnet",
|
||||
GPT_4O_2024_05_13 = "gpt-4o-2024-05-13",
|
||||
GPT_4_TURBO_2024_04_09 = "gpt-4-turbo-2024-04-09",
|
||||
GPT_4_VISION = "gpt_4_vision",
|
||||
CLAUDE_3_SONNET = "claude_3_sonnet",
|
||||
}
|
||||
|
||||
// Will generate a static error if a model in the enum above is not in the descriptions
|
||||
export const CODE_GENERATION_MODEL_DESCRIPTIONS: {
|
||||
[key in CodeGenerationModel]: { name: string; inBeta: boolean };
|
||||
} = {
|
||||
"gpt-4o-2024-05-13": { name: "GPT-4o 🌟", inBeta: false },
|
||||
"claude-3-5-sonnet-20240620": { name: "Claude 3.5 Sonnet 🌟", inBeta: false },
|
||||
"gpt-4o-2024-05-13": { name: "GPT-4o 🌟", inBeta: false },
|
||||
"gpt-4-turbo-2024-04-09": { name: "GPT-4 Turbo (Apr 2024)", inBeta: false },
|
||||
gpt_4_vision: { name: "GPT-4 Vision (Nov 2023)", inBeta: false },
|
||||
claude_3_sonnet: { name: "Claude 3 Sonnet", inBeta: false },
|
||||
// claude_3_5_sonnet: { name: "Claude 3.5 Sonnet", inBeta: false },
|
||||
};
|
||||
|
||||
Loading…
Reference in New Issue
Block a user