Update app.py

app.py

@@ -103,20 +103,23 @@ analyzer = FloorPlanAnalyzer(model_path=model_path)
 
 # Sample images for Gradio examples
 # Define sample images for user convenience
+# Define sample images and instructions
 sample_images = [
-    "./sample/10_2.jpg",
-    "./sample/10_10.jpg",
-    "./sample/0_10.jpg",
-    "./sample/2_12.jpg"
+    ["./samples/10_2.jpg", "You are an expert in architecture and interior design. Analyze the floor plan image and describe accurately the key features, room count, layout, and any other important details you observe."],
+    ["./samples/10_10.jpg", "You are an expert in architecture and interior design. Analyze the floor plan image and describe accurately the key features, room count, layout, and any other important details you observe."],
+    ["./samples/0_10.jpg", "You are an expert in architecture and interior design. Analyze the floor plan image and describe accurately the key features, room count, layout, and any other important details you observe."],
+    ["./samples/2_12.jpg", "You are an expert in architecture and interior design. Analyze the floor plan image and describe accurately the key features, room count, layout, and any other important details you observe."]
 ]
 
-# Ensure sample images directory exists
+# Ensure samples directory exists
 os.makedirs("samples", exist_ok=True)
+
 # Save some dummy sample images if they don't exist (you should replace these with actual images)
 for i, sample in enumerate(sample_images):
-    if not os.path.exists(sample):
+    image_path = sample[0]
+    if not os.path.exists(image_path):
         img = Image.new("RGB", (224, 224), color=(i * 50, i * 50, i * 50))
-        img.save(sample)
+        img.save(image_path)
 
 # Gradio prediction function
 def predict_image(image, instruction):