Create app.py

app.py

@@ -0,0 +1,32 @@
+from transformers import pipeline
+import gradio as gr 
+import os
+import io
+import IPython.display
+from PIL import Image
+import base64 
+import gradio as gr 
+
+get_completion = pipeline("image-to-text",model="Salesforce/blip-image-captioning-base")
+
+def image_to_base64_str(pil_image):
+    byte_arr = io.BytesIO()
+    pil_image.save(byte_arr, format='PNG')
+    byte_arr = byte_arr.getvalue()
+    return str(base64.b64encode(byte_arr).decode('utf-8'))
+
+def captioner(image):
+    base64_image = image_to_base64_str(image)
+    result = get_completion(base64_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",
+                    examples=["christmas_dog.jpeg", "bird_flight.jpeg", "cow.jpeg"])
+
+demo.launch(infline=False)