BrightFameLabs
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Parent(s):
05012eb
Update 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 FastAPI app instance
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app = FastAPI()
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# Initialize the text generation pipeline
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pipe = pipeline("text2text-generation", model="google/flan-t5-small")
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# Define a function to handle the GET request at `/generate`
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@app.get("/generate")
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def generate(text: str):
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"""
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Using the text2text-generation pipeline from `transformers`, generate text
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from the given input text. The model used is `google/flan-t5-small`, which
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can be found [here](https://huggingface.co/google/flan-t5-small).
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"""
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# Use the pipeline to generate text from the given input text
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output = pipe(text)
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# Return the generated text in a JSON response
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return {"output": output[0]["generated_text"]}
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