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import streamlit as st
import os
import google.generativeai as genai
from dotenv import load_dotenv
load_dotenv() # take environment variables from .env.
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
response=chat.send_message(question)
return response.text
##initialize our streamlit app
st.set_page_config(page_title="Q&A Demo")
st.header("Gemini Chat Application")
if 'chat_history' not in st.session_state:
st.session_state['chat_history'] = []
input=st.text_input("Input: ",key="input")
submit=st.button("Ask the question")
if submit and input:
st.session_state['chat_history'].append(("You", input))
response=get_gemini_response(input)
st.session_state['chat_history'].append(("Bot", response))
#for chunk in response:
#st.write(chunk.text)
#st.session_state['chat_history'].append(("Bot", chunk.text))
for role, text in st.session_state['chat_history']:
st.write(f"{role}: {text}")