Upload app.py

app.py

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+#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**")