app.py

from fastapi import FastAPI
from transformers import pipeline
import os

## create a new FASTAPI app instance
app=FastAPI()

# Initialize the text generation pipeline
pipe = pipeline("text2text-generation", model="lmstudio-community/Meta-Llama-3.1-8B-Instruct-GGUF",token=os.getenv('HF_KEY'))


@app.get("/")
def home():
    return {"message":"Hello World"}

# Define a function to handle the GET request at `/generate`


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

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