Update app.py

app.py

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+from dotenv import load_dotenv
+load_dotenv()
+
+import google.generativeai as genai
+import os
+import streamlit as st
+
+genai.configure(api_key=os.getenv("GOOGLE_API_KEY"))
+
+#call gemini model, receive response
+model = genai.GenerativeModel("gemini-pro")
+chat = model.start_chat(history=[])
+
+#this function gives back response to question asked
+
+def gemini_response(question):
+    response = chat.send_message(question, stream=True)
+    return response
+
+#Streamlit Part (initialization app)
+
+st.set_page_config(page_title = "Conversational Gemini ChatBot")
+st.header("Powered by Google Gemini API")
+
+# using session state of streamlit for chat history 
+#initially it is empty, later when we have conversations it will be stored in this session state
+#name of session state is chat history
+
+if 'chat_history' not in st.session_state:
+    st.session_state['chat_history'] = []
+
+input = st.text_input("Input: ", key=input)
+submit = st.button("Ask Question!")
+
+if input and submit:
+    response = gemini_response(input)
+
+    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(("ChatBot", chunk))
+
+st.subheader("The History is...")
+
+for role, text in st.session_state['chat_history']:
+    st.write(f"{role}: {text}")