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# Q&A Chatbot
#from langchain.llms import OpenAI
from dotenv import load_dotenv
load_dotenv() # take environment variables from .env.
import streamlit as st
import os
import pathlib
import textwrap
import google.generativeai as genai
from IPython.display import display
from IPython.display import Markdown
os.getenv("GOOGLE_API_KEY")
genai.configure(api_key=os.getenv("GOOGLE_API_KEY"))
## Function to load OpenAI model and get respones
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 Application")
input=st.text_input("Input: ",key="input")
submit=st.button("Ask the question")
## If ask button is clicked
if submit:
response=get_gemini_response(input)
st.subheader("The Response is")
for chunk in response:
print(st.write(chunk.text))
print("_"*80)
st.write(chat.history)
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