Delete app.py

app.py

@@ -1,34 +0,0 @@
-import gradio as gr
-from transformers import BlipProcessor, BlipForConditionalGeneration
-from PIL import Image
-
-# Load BLIP model and processor
-processor = BlipProcessor.from_pretrained("Salesforce/blip-image-captioning-base")
-model = BlipForConditionalGeneration.from_pretrained("Salesforce/blip-image-captioning-base")
-
-def caption_image(image):
-    """
-    Generates a caption for the given image.
-    """
-    try:
-        # Prepare inputs for image captioning
-        inputs = processor(images=image, return_tensors="pt")
-
-        # Generate caption
-        outputs = model.generate(**inputs)
-        caption = processor.decode(outputs[0], skip_special_tokens=True)
-
-        return caption
-    except Exception as e:
-        return f"An error occurred: {str(e)}"
-
-# Gradio Interface
-iface = gr.Interface(
-    fn=caption_image,
-    inputs=gr.Image(type="pil"),
-    outputs="text",
-    title="Image Captioning with BLIP",
-    description="Upload an image to generate a descriptive caption."
-)
-
-iface.launch()