Create app.py

app.py

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+import streamlit as st
+import os
+import google.generativeai as genai
+
+# st.title("Chatbot with Streamlit and GenAI")
+st.title("CHATBOT")
+
+os.environ['GOOGLE_API_KEY'] = "AIzaSyAh0J6mHZCEnYs0XDSB7QheB1QVZCjxO7k"
+genai.configure(api_key = os.environ['GOOGLE_API_KEY'])
+
+# Select the model
+model = genai.GenerativeModel('gemini-pro')
+
+# Initialize chat history
+if "messages" not in st.session_state:
+    st.session_state.messages = [
+        {
+            "role":"assistant",
+            "content":"Ask me Anything"
+        }
+    ]
+
+# Display chat messages from history on app rerun
+for message in st.session_state.messages:
+    with st.chat_message(message["role"]):
+        st.markdown(message["content"])
+
+# Process and store Query and Response
+def llm_function(query):
+    response = model.generate_content(query)
+
+    # Displaying the Assistant Message
+    with st.chat_message("assistant"):
+        st.markdown(response.text)
+
+    # Storing the User Message
+    st.session_state.messages.append(
+        {
+            "role":"user",
+            "content": query
+        }
+    )
+
+    # Storing the User Message
+    st.session_state.messages.append(
+        {
+            "role":"assistant",
+            "content": response.text
+        }
+    )
+
+# Accept user input
+query = st.chat_input("What's up?")
+
+# Calling the Function when Input is Provided
+if query:
+    # Displaying the User Message
+    with st.chat_message("user"):
+        st.markdown(query)
+
+    llm_function(query)