app.py

import streamlit as st
from transformers import pipeline

# Load the Hugging Face model
model_name = "adeel300/QA_T5_small"
nlp = pipeline("text-generation", model=model_name)

# Streamlit app
st.title("Hugging Face Model Inference")

st.write("Enter your text below and get the model's response.")

# Input text
input_text = st.text_area("Input Text", value="", height=200)

if st.button("Generate Response"):
    if input_text:
        with st.spinner("Generating response..."):
            response = nlp(input_text)
            st.success("Response generated!")
            st.text_area("Response", value=response[0]['generated_text'], height=200)
    else:
        st.warning("Please enter some text to generate a response.")