Initial commit

app.py

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+import gradio as gr
+from transformers import BlipProcessor, BlipForConditionalGeneration
+from PIL import Image
+
+# Load an advanced image captioning model
+processor = BlipProcessor.from_pretrained("Salesforce/blip-image-captioning-large")
+model = BlipForConditionalGeneration.from_pretrained("Salesforce/blip-image-captioning-large")
+
+# Function to generate a descriptive caption
+def generate_caption(image):
+    inputs = processor(image, return_tensors="pt")
+    out = model.generate(**inputs, max_length=50, num_beams=5, repetition_penalty=1.5)
+    caption = processor.decode(out[0], skip_special_tokens=True)
+    return caption
+
+# Gradio interface with webcam support
+iface = gr.Interface(
+    fn=generate_caption,
+    inputs=[gr.Image(type="pil", source="webcam", label="Capture an image")],
+    outputs=gr.Textbox(label="Image Description"),
+    title="📷 Image Capture & Description App",
+    description="Capture an image using your webcam and let AI describe what's happening in the image!",
+    live=True,
+)
+
+if __name__ == "__main__":
+    iface.launch()

requirements.txt

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+torch
+transformers
+gradio