app.py

from fastapi import FastAPI
from trasformers import pipeline

## Create FastAPI app instance
app = FastAPI()

# Initialize a text generation pipeline
# Load model directly
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM

tokenizer = AutoTokenizer.from_pretrained("google/flan-t5-small")
model = AutoModelForSeq2SeqLM.from_pretrained("google/flan-t5-small")

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

#Define a function to handle the GET request at /generate 
@app.get("/generate")
def generate(text:str):
    ## Generate text using the model
    output=pipe(text)
    
    ##return the text generate in Json response
    return {"output":output[0]['generated_text']}