Download app.py from ABIcode23/SQLCHAT: direct link, hf CLI and curl.
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https://huggingface.co/spaces/ABIcode23/SQLCHAT/resolve/main/app.py
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curl -L -o app.py https://huggingface.co/spaces/ABIcode23/SQLCHAT/resolve/main/app.py
630 Bytes
| from fastapi import FastAPI | |
| from transformers import pipeline | |
| # Create a new FASTAPI app instance | |
| app = FastAPI() | |
| # Initialize the text generation pipeline | |
| pipe = pipeline("text2text-generation", model="juierror/text-to-sql-with-table-schema") | |
| def home(): | |
| return {"message": "Hello World"} | |
| # Define a function to handle the GET request at '/generate' | |
| def generate(text: str): | |
| # Use the pipeline to generate text from the given input text | |
| output = pipe(text) | |
| # Return the generated text in JSON response | |
| return {"output": output[0]['generated_text']} | |