Create app.py

app.py

@@ -0,0 +1,22 @@
+from transformers import pipeline
+import gradio as gr
+
+pipe = pipeline(task="image-to-text",
+               model = "Salesforce/blip-image-captioning-base")
+
+def launch(input):
+    out = pipe(input)
+    return out[0]['generated_text']
+
+# iface = gr.Interface(
+# fn = launch,
+# inputs = gr.Image(type='pil',),
+# outputs = gr.Textbox()
+# )
+# iface.launch()
+
+iface = gr.Interface(launch,
+                     inputs=gr.Image(type='pil'),
+                     outputs="text")
+
+iface.launch()