Update app.py

app.py

@@ -34,28 +34,12 @@ def generate_caption(image):
     caption = texts[best_match]
     return f"Best match: {caption} (Confidence: {probs[0][best_match].item():.2f})"
 
-note = gr.Markdown("""
-**Note:** This model detects the best match from the following options:
-- a photo of a cat
-- a photo of a dog
-- a photo of a man
-- a photo of a woman
-- a photo of a laptop
-- a photo of a smartphone
-- a photo of a city
-- a photo of a landscape
-- a photo of food
-- a photo of a car
-""")
-
-note.render()
-
 iface = gr.Interface(
     fn=generate_caption,
     inputs=gr.Image(type="pil"),
     outputs=gr.Textbox(label="Generated Caption"),
     title="Image Captioning with CLIP",
-    description="Upload an image and get a dynamically generated caption using CLIP."
+    description="Upload an image and get a dynamically generated caption using CLIP.\n\n**Detectable categories:**\n- a photo of a cat\n- a photo of a dog\n- a photo of a man\n- a photo of a woman\n- a photo of a laptop\n- a photo of a smartphone\n- a photo of a city\n- a photo of a landscape\n- a photo of food\n- a photo of a car"
 )
 
 iface.launch()