feat:Add application file

README.md

@@ -1,145 +1,8 @@
-# Code Interpreter API
-
-A LangChain implementation of the ChatGPT Code Interpreter.
-Using CodeBoxes as backend for sandboxed python code execution.
-[CodeBox](https://github.com/shroominic/codebox-api/tree/main) is the simplest cloud infrastructure for your LLM Apps.
-You can run everything local except the LLM using your own OpenAI API Key.
-
-## Features
-
-- Dataset Analysis, Stock Charting, Image Manipulation, ....
-- Internet access and auto Python package installation
-- Input `text + files` -> Receive `text + files`
-- Conversation Memory: respond based on previous inputs
-- Run everything local except the OpenAI API (OpenOrca or others maybe soon)
-- Use CodeBox API for easy scaling in production (coming soon)
-
-## Installation
-
-Get your OpenAI API Key [here](https://platform.openai.com/account/api-keys) and install the package.
-
-```bash
-pip install codeinterpreterapi
-```
-
-## Usage
-
-Make sure to set the `OPENAI_API_KEY` environment variable (or use a `.env` file)
-
-```python
-from codeinterpreterapi import CodeInterpreterSession
-
-
-async def main():
-    # create a session
-    session = CodeInterpreterSession()
-    await session.astart()
-
-    # generate a response based on user input
-    response = await session.generate_response(
-        "Plot the bitcoin chart of 2023 YTD"
-    )
-
-    # output the response (text + image)
-    print("AI: ", response.content)
-    for file in response.files:
-        file.show_image()
-
-    # terminate the session
-    await session.astop()
-
-
-if __name__ == "__main__":
-    import asyncio
-    # run the async function
-    asyncio.run(main())
-
-```
-
-![Bitcoin YTD](https://github.com/shroominic/codeinterpreter-api/blob/main/examples/assets/bitcoin_chart.png?raw=true)  
-Bitcoin YTD Chart Output
-
-## Dataset Analysis
-
-```python
-from codeinterpreterapi import CodeInterpreterSession, File
-
-
-async def main():
-    # context manager for auto start/stop of the session
-    async with CodeInterpreterSession() as session:
-        # define the user request
-        user_request = "Analyze this dataset and plot something interesting about it."
-        files = [
-            File.from_path("examples/assets/iris.csv"),
-        ]
-
-        # generate the response
-        response = await session.generate_response(
-            user_request, files=files
-        )
-
-        # output to the user
-        print("AI: ", response.content)
-        for file in response.files:
-            file.show_image()
-
-
-if __name__ == "__main__":
-    import asyncio
-
-    asyncio.run(main())
-```
-
-![Iris Dataset Analysis](https://github.com/shroominic/codeinterpreter-api/blob/main/examples/assets/iris_analysis.png?raw=true)  
-Iris Dataset Analysis Output
-
-## Production
-
-In case you want to deploy to production, you can utilize the CodeBox API for seamless scalability.
-
-Please contact me if you are interested in this, as it is still in the early stages of development.
-
-## Contributing
-
-There are some remaining TODOs in the code.
-So, if you want to contribute, feel free to do so.
-You can also suggest new features. Code refactoring is also welcome.
-Just open an issue or pull request and I will review it.
-
-Please also submit any bugs you find as an issue with a minimal code example or screenshot.
-This helps me a lot in improving the code.
-
-Thanks!
-
-## Streamlit WebApp
-
-To start the web application created with streamlit:
-
-```bash
-streamlit run frontend/app.py
-```
-
-## License
-
-[MIT](https://choosealicense.com/licenses/mit/)
-
-## Contact
-
-You can contact me at [contact@shroominic.com](mailto:contact@shroominic.com).
-But I prefer to use [Twitter](https://twitter.com/shroominic) or [Discord](https://gptassistant.app/community) DMs.
-
-## Support this project
-
-If you would like to help this project with a donation, you can [click here](https://ko-fi.com/shroominic).
-Thanks, this helps a lot! ❤️
-
-## Star History
-
-<a href="https://star-history.com/#shroominic/codeinterpreter-api&Date">
-  <picture>
-    <source media="(prefers-color-scheme: dark)" srcset="https://api.star-history.com/svg?repos=shroominic/codeinterpreter-api&type=Date&theme=dark" />
-    <source media="(prefers-color-scheme: light)" srcset="https://api.star-history.com/svg?repos=shroominic/codeinterpreter-api&type=Date" />
-    <img alt="Star History Chart" src="https://api.star-history.com/svg?repos=shroominic/codeinterpreter-api&type=Date" />
-  </picture>
-</a>
+title: Codeinterpreter
+emoji: 🦀
+colorFrom: red
+colorTo: red
+sdk: streamlit
+sdk_version: 1.21.0
+app_file: app.py
+pinned: false