chatbot_gemini / qachat.py
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Create qachat.py
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from dotenv import load_dotenv
load_dotenv() ## loading all the environment variables
import streamlit as st
import os
import google.generativeai as genai
genai.configure(api_key=os.getenv("GOOGLE_API_KEY"))
## function to load Gemini Pro model and get repsonses
model=genai.GenerativeModel("gemini-pro")
chat = model.start_chat(history=[])
def get_gemini_response(question):
response=chat.send_message(question,stream=True)
return response
##initialize our streamlit app
st.set_page_config(page_title="Q&A Demo")
st.header("Gemini LLM Application")
# Initialize session state for chat history if it doesn't exist
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:
response=get_gemini_response(input)
# Add user query and response to session state chat history
st.session_state['chat_history'].append(("You", input))
st.subheader("The Response is")
for chunk in response:
st.write(chunk.text)
st.session_state['chat_history'].append(("Bot", chunk.text))
st.subheader("The Chat History is")
for role, text in st.session_state['chat_history']:
st.write(f"{role}: {text}")