Create app.py

app.py

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+from dotenv import load_dotenv 
+import streamlit as st
+import os
+import google.generativeai as genai
+
+load_dotenv() 
+# loading all the environment variables:
+genai.configure(api_key=os.environ["google_api_key"])
+## creating a pipeline to load the model and take input and give the response in return:
+
+
+model=genai.GenerativeModel('gemini-pro')
+
+chat=model.start_chat(history=[])
+
+def gemini_response(question):
+    response=chat.send_message(question,stream=True)
+    # stream is true means to keep the track of the previous messages:
+    return response
+st.set_page_config(page_title="Gemini QnA ChatBot")
+st.header("Gemini LLM Application")
+#Initialize the session state for chat history if it doesn't exist
+
+if 'chat_hisotry' 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=gemini_response(input)
+    # add user query and response to the session 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}")