Update app.py

app.py

@@ -3,7 +3,7 @@ import streamlit as st
 from google.generativeai import GenerativeModel
 
 # Set API key as an environment variable
-os.environ['GOOGLE_API_KEY'] = "AIzaSyC70u1sN87IkoxOoIj4XCAPw97ae2LZwNM"
+os.environ['GOOGLE_API_KEY'] = "YOUR_GEMINI_API_KEY_HERE"
 
 # Create chatbot interface
 st.title("Gemini API Chatbot")
@@ -16,27 +16,27 @@ user_input = st.text_input("You")
 
 # Check if user input is not empty
 if user_input:
-   # Add user message to chat history
-   chat_history.append(user_input)
+  # Add user message to chat history
+  chat_history.append(user_input)
 
-   # Display user message with markdown
-   st.markdown(f"**You:** {user_input}")
+  # Display user message with markdown
+  st.markdown(f"**You:** {user_input}")
 
-   # Create model object
-   model = GenerativeModel(model_name="gemini-pro")
+  # Create model object
+  model = GenerativeModel(model_name="gemini-pro")
 
-   # Get model response with generate_content method
-   with st.spinner("Thinking..."):
-       response = model.generate_content(chat_history)
+  # Get model response with generate_content method
+  with st.spinner("Thinking..."):
+      response = model.generate_content(chat_history)
 
-   # Get response text from response object
-   response_text = response.contents[-1].parts[0].text
+  # Get response text from response object
+  response_text = response.contents[-1].parts[0].text
 
-   # Add response message to chat history
-   chat_history.append(response_text)
+  # Add response message to chat history
+  chat_history.append(response_text)
 
-   # Display response message with markdown
-   st.markdown(f"**Gemini Bot:** {response_text}")
+  # Display response message with markdown
+  st.markdown(f"**Gemini Bot:** {response_text}")
 
-   # Update session state with chat history
-   st.session_state["chat_history"] = chat_history
+  # Update session state with chat history
+  st.session_state["chat_history"] = chat_history