Update app.py

app.py

@@ -21,14 +21,17 @@ model = genai.GenerativeModel(
     system_instruction="You are an expert in detecting objects from xray image. Your job is to detect the objects from x-ray images.",
 )
 
-def analyze_image(image_path):
+def analyze_image(image):
     """Analyze the uploaded image using Gemini model"""
     try:
+        if image is None:
+            return "Please upload an image to analyze."
+            
         # Start a new chat session
         chat = model.start_chat()
         
         # Upload and analyze the image
-        image_file = genai.upload_file(image_path.name)
+        image_file = genai.upload_file(image)
         
         # Send the image with a prompt
         response = chat.send_message([
@@ -38,17 +41,27 @@ def analyze_image(image_path):
         
         return response.text
     except Exception as e:
-        return f"Error analyzing image: {str(e)}"
+        return f"Error analyzing image: {str(e)}\nPlease make sure you've uploaded a valid image file."
+
+# Get example images from the examples directory
+examples_dir = os.path.join(os.path.dirname(__file__), "examples")
+example_images = []
+if os.path.exists(examples_dir):
+    example_images = [
+        os.path.join(examples_dir, f) 
+        for f in os.listdir(examples_dir) 
+        if f.lower().endswith(('.png', '.jpg', '.jpeg'))
+    ]
 
 # Create Gradio interface
 iface = gr.Interface(
     fn=analyze_image,
-    inputs=gr.File(label="Upload X-ray Image"),
+    inputs=gr.Image(type="filepath", label="Upload X-ray Image"),
     outputs=gr.Textbox(label="Analysis Result", lines=10),
     title="X-ray Image Object Detection",
     description="Upload an X-ray image and get a detailed description of the objects detected in it.",
-    examples=[],
-    cache_examples=False
+    examples=example_images,
+    cache_examples=True
 )
 
 # Launch the app