| import streamlit as st |
| import os |
| import google.generativeai as genai |
|
|
| genai.configure(api_key=os.getenv("GOOGLE_API_KEY")) |
|
|
| model=genai.GenerativeModel("gemini-pro") |
| chat = model.start_chat(history=[]) |
| def get_gemini_response(question): |
| |
| response=chat.send_message(question,stream=True) |
| return response |
|
|
| st.set_page_config(page_title="Q&A with Gemini") |
|
|
| st.header("Gemini LLM Application") |
|
|
| input=st.text_input("Input: ",key="input") |
| submit=st.button("Ask the question") |
|
|
| if submit and input: |
| response=get_gemini_response(input) |
| st.subheader("Response: ") |
| for chunk in response: |
| st.write(chunk.text) |
