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Upload app.py
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app.py
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from fastapi import FastAPI
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from transformers import pipeline
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# Create a new
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app = FastAPI()
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# Initialize the text generation pipeline
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def home():
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return {"message": "Hello World"}
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# Define a function to handle the
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@app.
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def generate(
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from fastapi import FastAPI, HTTPException
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from pydantic import BaseModel
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from transformers import pipeline
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# Create a new FastAPI app instance
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app = FastAPI()
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# Initialize the text generation pipeline
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def home():
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return {"message": "Hello World"}
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# Define a function to handle the POST request at '/generate'
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@app.post("/generate")
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def generate(request: dict):
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try:
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text = request.get('text')
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if not text:
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raise HTTPException(status_code=400, detail="Text field is required")
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output = pipe(text, max_new_tokens=50)
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# Return the generated text in JSON response
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return {"output": output[0]['generated_text']}
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except Exception as e:
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raise HTTPException(status_code=500, detail=str(e))
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