Add application file

app.py

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+import os
+import io
+import IPython.display
+from PIL import Image
+import base64
+from transformers import pipeline
+import gradio as gr
+
+import warnings
+warnings.filterwarnings("ignore")
+
+task = "image-to-text"
+model = "Salesforce/blip-image-captioning-base"
+image_captioner = pipeline("image-to-text", model = "Salesforce/blip-image-captioning-base")
+
+def captioner(image):
+    result = image_captioner(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()

requirements.txt

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+gradio==3.39.0
+transformers==4.24.0
+torch