Create app.py

app.py

@@ -0,0 +1,20 @@
+    from transformers.utils import logging
+
+logging.set_verbosity_error()
+
+import gradio as gr
+
+from transformers import pipeline
+
+pipe = pipeline("image-to-text", 
+               model="Salesforce/blip-image-captioning-base")
+
+def launch(input):
+    out = pipe(input)
+    return out[0]['generated_text']
+
+iface = gr.Interface(launch,
+                    inputs=gr.Image(type='pil'),
+                    outputs="text")
+
+iface.launch()