app.py

from langchain_groq import ChatGroq
from dotenv import load_dotenv
import streamlit as st
# import os






# Streamlit app
st.title("AI ChatBot")
def generate_response(question):
    llm = ChatGroq(model_name="gemma2-9b-it", temperature=0.5)
    
    # Create a placeholder for the response
    response_placeholder = st.empty()
    full_response = ""
    
    # Stream the response
    # with st.spinner("Generating response..."):
    for chunk in llm.stream(question):
        full_response += chunk.content
        # Update the placeholder with the accumulated response
        response_placeholder.markdown(full_response + "▌")
    
    # Display the final response without the cursor
    response_placeholder.markdown(full_response)



# Input for the user's question
user_question = st.text_input("Enter your question:", key="input")

# Button to generate response
if st.button("Generate Response"):
    st.markdown("###### The Response")
    if user_question:
        with st.spinner("Generating response..."):
            generate_response(user_question)
    else:
        st.warning("Please enter a question.")