app.py

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="google/flan-t5-small", clean_up_tokenization_spaces=True)

@app.get("/")
def home():
    return {"message": "Welcome to the Text Generation API"}

## Define a function to handle GET Request at '/generate'

@app.get("/generate")
def generate(text:str):
    ## use the pipeline to generate text based on the input 'text'
    output=pipe(text)

    ## return the generated text in Json response
    return {"output":output[0]['generated_text']}