Create app.py

app.py

@@ -0,0 +1,22 @@
+from transformers import pipeline
+from PIL import Image
+import gradio as gr
+
+model = None
+
+if model == None:
+    model = pipeline("image-to-text", model="Salesforce/blip-image-captioning-large")
+    
+def captioner(image):
+    
+    img = Image.fromarray(image)
+    result = model(img)[0]['generated_text']
+    return result
+
+iface = gr.Interface(
+    fn = captioner,
+    inputs = gr.Image(),
+    outputs = 'text'
+)
+
+iface.launch()