Update app.py

app.py

@@ -1,46 +1,48 @@
-#genai.configure(api_key="AIzaSyB2FrTywdRUmHXICxRPYTN_TznajASTKDY")
-
-import streamlit as st
-import google.generativeai as genai
-
-# Configure the API key for Gemini AI
-genai.configure(api_key="AIzaSyB2FrTywdRUmHXICxRPYTN_TznajASTKDY")
-model = genai.GenerativeModel("gemini-1.5-flash")
-
-# Streamlit App layout
-st.title("AI-Powered Python Code Assistant")
-st.markdown("This assistant can help you with code suggestions, debugging, and reusable snippets using Gemini AI.")
-
-# Sidebar
-st.sidebar.header("Select Feature")
-feature = st.sidebar.selectbox(
-    "Choose what you need help with:",
-    ["Code Suggestions", "Code Debugging", "Reusable Code Snippets", "General Code Query"]
-)
-
-# Input box for user to type code or query
-user_input = st.text_area("Enter your Python code or query here:")
-
-# Button to trigger the AI response
-if st.button("Get AI Suggestions"):
-
-    # Generate response based on selected feature
-    if feature == "Code Suggestions":
-        prompt = f"Suggest code completion for the following Python code:\n{user_input}"
-    elif feature == "Code Debugging":
-        prompt = f"Find and fix the bugs in the following Python code:\n{user_input}"
-    elif feature == "Reusable Code Snippets":
-        prompt = f"Provide reusable Python code snippets related to: {user_input}"
-    else:
-        prompt = f"Provide an explanation or advice on this Python code/query:\n{user_input}"
-
-    # Get response from Gemini AI model
-    response = model.generate_content(prompt)
-    
-    # Display AI's response in the app
-    st.subheader("AI's Response:")
-    st.code(response.text, language="python")
-
-# Optionally, you can add a footer or additional features here
-st.markdown("---")
-st.markdown("Powered by **Streamlit** and **Google Gemini AI**")
+#genai.configure(api_key="AIzaSyB2FrTywdRUmHXICxRPYTN_TznajASTKDY")
+
+import streamlit as st
+import google.generativeai as genai
+
+# Configure the API key for Gemini AI
+genai.configure(api_key="AIzaSyD8tAz466UNCkLl83WBT05imim-JYL5Gr4")
+
+# AIzaSyB2FrTywdRUmHXICxRPYTN_TznajASTKDY
+model = genai.GenerativeModel("gemini-1.5-flash")
+
+# Streamlit App layout
+st.title("AI-Powered Python Code Assistant")
+st.markdown("This assistant can help you with code suggestions, debugging, and reusable snippets using Gemini AI.")
+
+# Sidebar
+st.sidebar.header("Select Feature")
+feature = st.sidebar.selectbox(
+    "Choose what you need help with:",
+    ["Code Suggestions", "Code Debugging", "Reusable Code Snippets", "General Code Query"]
+)
+
+# Input box for user to type code or query
+user_input = st.text_area("Enter your Python code or query here:")
+
+# Button to trigger the AI response
+if st.button("Get AI Suggestions"):
+
+    # Generate response based on selected feature
+    if feature == "Code Suggestions":
+        prompt = f"Suggest code completion for the following Python code:\n{user_input}"
+    elif feature == "Code Debugging":
+        prompt = f"Find and fix the bugs in the following Python code:\n{user_input}"
+    elif feature == "Reusable Code Snippets":
+        prompt = f"Provide reusable Python code snippets related to: {user_input}"
+    else:
+        prompt = f"Provide an explanation or advice on this Python code/query:\n{user_input}"
+
+    # Get response from Gemini AI model
+    response = model.generate_content(prompt)
+    
+    # Display AI's response in the app
+    st.subheader("AI's Response:")
+    st.code(response.text, language="python")
+
+# Optionally, you can add a footer or additional features here
+st.markdown("---")
+st.markdown("Powered by **Streamlit** and **Google Gemini AI**")