codeinterpreter-api
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👾 Open source implementation of the ChatGPT Code Interpreter
i have run two examples bitcoin and analyze dataset with gpt3.5 model, but output nothing.
Implement a minimalistic demo to run in the browser (localhost) that implements all the featues of the codeinterpreter api. Maybe using [streamlit](https://streamlit.io) or similar frameworks.
Lookout for what the best open source model is to run LangChain Agents. Implement this model and potentially others similar to #6 using ConversationalChat Agents.
Firstly, I want to extend my sincere appreciation for the fantastic work you've put into this project! As indicated by the title, I'm curious to know if there's a possibility...
Hello, I have this problem when starting. Help me please. Traceback (most recent call last): File "D:\python\chatgpt_env\Lib\site-packages\websockets\legacy\client.py", line 655, in __await_impl_timeout__ return await self.__await_impl__() ^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "D:\python\chatgpt_env\Lib\site-packages\websockets\legacy\client.py", line 662, in...
Hi I am trying to run this code cell: ``` from codeinterpreterapi import CodeInterpreterSession import os # create a session session = CodeInterpreterSession(openai_api_key="openai-api-key", model="gpt-3.5-turbo-0613") await session.astart() # generate a response...
It'd be great to get more information as to what's needed to scale this on codebox (and what, if anything, makes codebox a good place for this over any other...
Explain how everything works and how to implement the codeinterpreter api into an app. Also document all features and what to lookout for when implementing.
Make the project more modular and implement the AnthropicChat LLM using ConversationalChat Agents instead of the OpenAIFunctions Agent.