Create app.py

app.py

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+import gradio as gr
+from transformers import pipeline
+
+image_url = "https://free-images.com/sm/9596/dog_animal_greyhound_983023.jpg"
+get_completion = pipeline("image-to-text", model="Salesforce/blip-image-captioning-base")
+
+def summarize(input):
+    output = get_completion(input)
+    return output[0]['generated_text']
+    
+
+import gradio as gr 
+
+def captioner(image):
+    result = get_completion(image)
+    return result[0]['generated_text']
+
+gr.close_all()
+demo = gr.Interface(fn=captioner,
+                    inputs=[gr.Image(label="Upload image", type="pil")],
+                    outputs=[gr.Textbox(label="Caption")],
+                    title="Image Captioning with BLIP",
+                    description="Caption any image using the BLIP model",
+                    allow_flagging="never")
+demo.launch()
+