app.py

#text generation genai  app (text to text)
from fastapi import FastAPI
from transformers import pipeline
# we used pipeline so we can call any  llm models that are  present in hugging face
# creaye fastapi app instnace

app = FastAPI()

# initiliaze text generation pipeline
# Use a pipeline as a high-level helper

pipe = pipeline("text2text-generation", model="google/flan-t5-small")

# create 
@app.get("/")
def home():
    return {"message": "Welcome to the Text Generation App"}
# generate fucntion to handle some get request /generate

@app.get("/generate")
def generate(text: str):              #whatever the text we give it will post to my pipeline
    # use the pipeline to generate the text from given input text "(text:str)"
    try:
        output = pipe(text)
        return {"output": output[0].get("generated_text", "No output generated")}
    except Exception as e:
        return {"error": str(e)}
    # return {"output": output[0]['generated_text']}           # output is given in the form of key  anf rom the output we will getting the response in the form  of list and over there