Update app.py

app.py

@@ -7,7 +7,7 @@ import folium
 from huggingface_hub import InferenceClient
 
 # --- CONFIGURATION ---
-# Replace with your actual token
+# Replace with your actual token if you don't want to paste it in the UI every time
 HF_TOKEN = "hf_..." 
 
 # Initialize Tools
@@ -22,6 +22,11 @@ def analyze_food(food_name, language, api_key):
         return None, "Please select a food item.", ""
 
     token = api_key if api_key else HF_TOKEN
+    
+    # Check if token is present
+    if not token or token.startswith("hf_..."):
+        return None, "Error: Please enter a valid Hugging Face Token in the box above."
+
     client = InferenceClient(token=token)
     
     # 1. Generate Image (Visual)
@@ -32,6 +37,7 @@ def analyze_food(food_name, language, api_key):
         "unreal engine 5 render style, depth of field."
     )
     
+    generated_image = None
     try:
         print(f"Generating image for {food_name}...")
         generated_image = client.text_to_image(
@@ -42,7 +48,6 @@ def analyze_food(food_name, language, api_key):
         )
     except Exception as e:
         print(f"Image Error: {e}")
-        generated_image = None
 
     # 2. Generate Health Info (Text) in Selected Language
     text_prompt = (
@@ -54,6 +59,7 @@ def analyze_food(food_name, language, api_key):
         "Keep it concise and bulleted."
     )
     
+    health_info = ""
     try:
         response = client.text_generation(
             prompt=text_prompt,
@@ -75,11 +81,16 @@ def get_map_html(location_name="Bahawalpur"):
     # Default coordinates (Bahawalpur)
     start_coords = [29.3544, 71.6911]
     
-    # If user searches specific place, we could geocode it (Mocking change for demo)
-    if location_name.lower() == "islamabad":
+    # Simple coordinate lookup for demo (You can add more cities)
+    loc_lower = location_name.lower()
+    if "islamabad" in loc_lower:
         start_coords = [33.6844, 73.0479]
-    elif location_name.lower() == "lahore":
+    elif "lahore" in loc_lower:
         start_coords = [31.5497, 74.3436]
+    elif "karachi" in loc_lower:
+        start_coords = [24.8607, 67.0011]
+    elif "multan" in loc_lower:
+        start_coords = [30.1575, 71.5249]
 
     # Create Map
     m = folium.Map(location=start_coords, zoom_start=13)
@@ -98,20 +109,23 @@ def scan_menu(image):
     if image is None:
         return "Please upload an image.", []
     
-    results = reader.readtext(image)
-    # Filter for food-like text (longer than 3 chars, not numbers)
-    detected_items = [res[1] for res in results if len(res[1]) > 3 and not res[1].isdigit()]
-    
-    status = f"✅ Found {len(detected_items)} items!"
-    return status, gr.update(choices=detected_items, value=detected_items[0] if detected_items else None)
+    try:
+        results = reader.readtext(image)
+        # Filter for food-like text (longer than 3 chars, not numbers)
+        detected_items = [res[1] for res in results if len(res[1]) > 3 and not res[1].isdigit()]
+        
+        status = f"✅ Found {len(detected_items)} items!"
+        return status, gr.update(choices=detected_items, value=detected_items[0] if detected_items else None)
+    except Exception as e:
+        return f"Error scanning: {str(e)}", []
 
 # --- UI LAYOUT ---
 with gr.Blocks(theme=gr.themes.Soft(primary_hue="orange", secondary_hue="gray")) as demo:
     
-    gr.Markdown("# 🥗 MenuVision AI: Health & visual Analyzer")
+    gr.Markdown("# 🥗 MenuVision AI: Health & Visual Analyzer")
     
     with gr.Row():
-        api_input = gr.Textbox(label="Hugging Face Token (Optional)", type="password", placeholder="Paste token here if not hardcoded")
+        api_input = gr.Textbox(label="Hugging Face Token (Required)", type="password", placeholder="Paste your Access Token here")
         language_drop = gr.Dropdown(label="🌐 Select Language", choices=["English", "Urdu", "French", "Spanish", "Arabic"], value="English")
 
     with gr.Tabs():
@@ -151,8 +165,13 @@ with gr.Blocks(theme=gr.themes.Soft(primary_hue="orange", secondary_hue="gray"))
         with gr.TabItem("👨‍💻 About Developer"):
             with gr.Row():
                 with gr.Column(scale=1):
-                    # Placeholder for your profile pic
-                    gr.Image("https://cdn-icons-png.flaticon.com/512/4140/4140048.png", width=200, show_label=False, show_download_button=False)
+                    # FIXED LINE: Removed 'show_download_button' to fix your error
+                    gr.Image(
+                        value="https://cdn-icons-png.flaticon.com/512/4140/4140048.png", 
+                        width=200, 
+                        show_label=False, 
+                        interactive=False
+                    )
                 
                 with gr.Column(scale=3):
                     gr.Markdown("""