Create app.py

app.py

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+!pip install transformers
+!pip install gradio
+from transformers import pipeline
+image_captioner = pipeline("image-to-text",model="Salesforce/blip-image-captioning-large")
+#Set up Prerequisites for Image Captioning App User Interface
+import os
+import io
+import IPython.display
+from PIL import Image
+import base64
+
+import gradio as gr
+
+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 = image_captioner(base64_image)
+    return result[0]['generated_text']
+gr.close_all()
+ImageCaptionApp = 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")
+                     
+ImageCaptionApp.launch()