Add application files

app.py

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+import gradio as gr
+from transformers import BlipProcessor, BlipForConditionalGeneration
+
+model_id = "dblasko/blip-dalle3-img2prompt"
+model = BlipForConditionalGeneration.from_pretrained(model_id)
+processor = BlipProcessor.from_pretrained(model_id)
+
+
+def gen_caption(image):
+    inputs = processor(images=image, return_tensors="pt")
+    pixel_values = inputs.pixel_values
+
+    generated_ids = model.generate(pixel_values=pixel_values, max_length=70)
+    generated_caption = processor.batch_decode(generated_ids, skip_special_tokens=True)[
+        0
+    ]
+
+    return generated_caption
+
+
+# Create a gradio interface with an image input and a textbox output
+demo = gr.Interface(
+    fn=gen_caption,
+    inputs=gr.Image(shape=(224, 224)),
+    outputs=gr.Textbox(label="Generated caption"),
+)
+demo.launch()

requirements.txt

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+gradio
+torch
+transformers