Add application file

.gitignore

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+.ipynb_checkpoints
+*.ipynb
+gradio-env

app.py

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+"""
+This module provides an interface for image captioning using the BLIP model.
+The interface allows users to upload an image and receive a caption.
+"""
+
+import gradio as gr
+import spaces
+from transformers import BlipProcessor, BlipForConditionalGeneration
+from PIL import Image
+
+# Initialize the processor and model
+processor = BlipProcessor.from_pretrained("Salesforce/blip-image-captioning-base")
+model = (
+    BlipForConditionalGeneration
+    .from_pretrained("Salesforce/blip-image-captioning-base")
+    .to("cuda")
+)
+
+def generate_caption(image: Image) -> str:
+    """
+    Generates a caption for a given image using the BLIP model.
+
+    Args:
+        image (Image): The input image as a PIL Image object.
+
+    Returns:
+        str: The generated caption.
+    """
+    inputs = processor(images=image, return_tensors="pt").to("cuda")
+    outputs = model.generate(**inputs)
+    caption = processor.decode(outputs[0], skip_special_tokens=True)
+    return caption
+
+@spaces.GPU
+def caption_image(image: Image) -> str:
+    """
+    Takes a PIL Image input and returns a caption.
+
+    Args:
+        image (Image): The input image as a PIL Image object.
+
+    Returns:
+        str: The generated caption or an error message.
+    """
+    try:
+        return generate_caption(image)
+    except Exception as e:
+        return f"An error occurred: {str(e)}"
+
+# Define the Gradio interface
+demo = gr.Interface(
+    fn=caption_image,
+    inputs=gr.Image(type="pil"),
+    outputs="text",
+    title="Image Captioning with BLIP",
+    description="Upload an image to generate a caption."
+)
+
+# Launch the interface
+demo.launch()