app.py

import streamlit as st

# NEW: Hugging Face Endpoint (بديل OpenAI)
from langchain_huggingface import HuggingFaceEndpoint

# =============================
# Function to return the response
# =============================
def load_answer(question):
    llm = HuggingFaceEndpoint(
        repo_id="google/flan-t5-large",
        temperature=0,
        max_new_tokens=256
    )

    answer = llm.invoke(question)
    return answer


# =============================
# App UI
# =============================
st.set_page_config(page_title="LangChain QuestionandAnswerApp", page_icon="🤖")
st.header("LangChain QuestionandAnswerApp (Free Model)")

def get_text():
    input_text = st.text_input("You:", key="input")
    return input_text


user_input = get_text()

submit = st.button("Generate")

if submit and user_input:
    response = load_answer(user_input)
    st.subheader("Answer:")
    st.write(response)