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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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# This function will be able to generate text
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# given an input.
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pipe = pipeline("text2text-generation",
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model="google/flan-t5-small")
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# Define a function to handle the GET request at `/generate`
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# The generate() function is defined as a FastAPI route that takes a
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# string parameter called text. The function generates text based on the # input using the pipeline() object, and returns a JSON response
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# containing the generated text under the key "output"
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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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