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Download app.py from johnhelf/codeinterpreter-api: direct link, hf CLI and curl.
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https://huggingface.co/spaces/johnhelf/codeinterpreter-api/resolve/11f72a12393daa4d0b3b646eb0180db978be4efa/app.py
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hf download hf://spaces/johnhelf/codeinterpreter-api@11f72a12393daa4d0b3b646eb0180db978be4efa/app.py
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curl -L -o app.py https://huggingface.co/spaces/johnhelf/codeinterpreter-api/resolve/11f72a12393daa4d0b3b646eb0180db978be4efa/app.py
768 Bytes
| # -* coding:UTF-8 -* | |
| # !/usr/bin/env python | |
| import numpy as np | |
| import gradio as gr | |
| import os | |
| from PIL import Image | |
| from codeinterpreterapi import CodeInterpreterSession | |
| async def codeinterpreter(openai_key,prompt, files): | |
| async with CodeInterpreterSession(model="gpt-3.5",openai_api_key=openai_key) as session: | |
| #async with CodeInterpreterSession(model="gpt-3.5-turbo",openai_api_key="") as session: | |
| response = await session.generate_response(prompt, files=files) | |
| return [response.content,response.files] | |
| app = gr.Interface( | |
| fn=codeinterpreter, inputs=[ | |
| gr.Textbox(label="openai_key"), | |
| gr.Textbox(label="prompt",info="input the prompt"), | |
| gr.Files(), | |
| ], outputs=["text","gallery"] | |
| ) | |
| app.launch() |