| import streamlit as st |
| import os |
| import google.generativeai as ggi |
|
|
| ggi.configure(api_key=os.environ['AIzaSyCg3KDDSpMZGQnzlFWHAXhr4fBjkc_3uIE']) |
|
|
| model = ggi.GenerativeModel(name='gemini-1.5-flash') |
|
|
| def LLM_Response(question): |
| response = chat.send_message(question,stream=True) |
| return response |
|
|
| st.title("Chat Application using Gemini Pro") |
|
|
| user_quest = st.text_input("Ask a questio:") |
| btn = st.button("Ask") |
|
|
| if btn and user_quest: |
| result = LLM_Response(user_quest) |
| st.subheader("Response : ") |
| for word in result: |
| st.text(word.text) |
