Update app.py

app.py

@@ -51,7 +51,7 @@ if selected_brand != "Select":
         if image_url:
             st.image(image_url, caption=f"{watch_data['name']} Image")
 
-        # Generate description based on attributes automatically
+        # Attributes without price
         attributes = {
             "brand": watch_data["brand"],
             "name": watch_data.get("name", "Unknown Watch"),
@@ -63,11 +63,10 @@ if selected_brand != "Select":
             "water_resistance": watch_data.get("water_resistance", "Unknown Water Resistance"),
             "power_reserve": watch_data.get("power_reserve", "Unknown Power Reserve"),
             "dial_color": watch_data.get("dial_color", "Unknown Dial Color"),
-            "strap_material": watch_data.get("strap_material", "Unknown Strap Material"),
-            "price": watch_data.get("price", "Unknown Price"),
+            "strap_material": watch_data.get("strap_material", "Unknown Strap Material")
         }
 
-        # Expanded input text with more attributes, using the model as a guide for the output
+        # Create a detailed description prompt following your preferred style
         input_text = f"""Generate a detailed 100-word description for the following watch:
 Brand: {attributes['brand']}
 Name: {attributes['name']}
@@ -80,9 +79,8 @@ Water Resistance: {attributes['water_resistance']}
 Power Reserve: {attributes['power_reserve']}
 Dial Color: {attributes['dial_color']}
 Strap Material: {attributes['strap_material']}
-Price: {attributes['price']}
 
-Description:"""
+Description: Provide a luxurious, detailed description focusing on the craftsmanship, innovation, and design, similar to a high-end editorial style."""
 
         # Tokenize input and generate description
         inputs = tokenizer(input_text, return_tensors="pt", max_length=512, truncation=True)