initial commit

.gitignore

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+venv/

app.py

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+import gradio as gr
+from transformers import BlipProcessor, BlipForConditionalGeneration
+from PIL import Image
+
+processor = BlipProcessor.from_pretrained("Salesforce/blip-image-captioning-base")
+model = BlipForConditionalGeneration.from_pretrained("Salesforce/blip-image-captioning-base")
+
+def generate_caption(image):
+    if image is None:
+        return "Please upload an image to generate a caption."
+    inputs = processor(images=image, return_tensors="pt")
+    out = model.generate(**inputs)
+    caption = processor.decode(out[0], skip_special_tokens=True)
+    return caption
+
+iface = gr.Interface(
+    fn=generate_caption, 
+    inputs=gr.Image(type="pil", label="Upload Image"), 
+    outputs="text", 
+    live=True,
+    title="Image Captioning App",
+    description="Upload an image and get a description of what the image contains.",
+    allow_flagging="never"
+)
+
+iface.launch()

requirements.txt

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+gradio
+transformers
+torch
+Pillow