Rename app (1).py to app.py

app (1).py → app.py

@@ -35,20 +35,15 @@ def make_gradcam_heatmap(img_array, model, last_conv_layer_name, pred_index=None
 # Streamlit UI
 st.title("🧠 Image Classifier + Grad-CAM Visualizer")
 
-# File uploader
-uploaded_file = st.file_uploader("📤 Upload an image (JPG, JPEG, PNG)", type=["jpg", "jpeg", "png"])
+choice = st.selectbox(
+    "Select Option:",
+    ("Upload Image", "Use Sample Image")
+)
 
-# Use default image if no upload
-if uploaded_file is not None:
-    image_ = Image.open(uploaded_file).convert('RGB')
+if choice == "Upload Image":
+    image_= st.file_uploader("📤 Upload an image (JPG, JPEG, PNG)", type=["jpg", "jpeg", "png"])
 else:
-    st.info("No image uploaded. Using default image.")
-    default_path = "dog.jpg"  # Make sure this file exists in your project folder
-    if os.path.exists(default_path):
-        image_ = Image.open(default_path).convert('RGB')
-    else:
-        st.error("Default image not found. Please upload an image.")
-        st.stop()
+    image_= Image.open(r"dog.jpg").convert('RGB')
 
 # Preprocess image
 image_resized = image_.resize((224, 224))