Create app.py

app.py

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+
+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)