Update

app.py

@@ -15,7 +15,7 @@ def caption_image(input_image: np.ndarray):
     inputs = processor(raw_image, return_tensors="pt")
 
     # Generate a caption for the image
-    out = model.generate(**inputs,max_length=50)
+    out = model.generate(**inputs, max_length=50)
 
     # Decode the generated tokens to text
     caption = processor.decode(out[0], skip_special_tokens=True)
@@ -26,8 +26,8 @@ iface = gr.Interface(
     fn=caption_image, 
     inputs=gr.Image(), 
     outputs="text",
-    title="Image Captioning Kliz Millares",
-    description="This is a simple web app for generating captions for images using a trained model."
+    title="Image Captioning - Kliz Andrei Millares™",
+    description="Generate descriptive captions for your images using the BLIP model, brought to you by Kliz Andrei Millares™."
 )
 
-iface.launch()
+iface.launch()