Upload app.py

app.py

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+from transformers.utils import logging
+import gradio as gr
+from transformers import pipeline
+import warnings
+
+warnings.filterwarnings("ignore", 
+message="Using the model-agnostic default `max_length`")
+
+logging.set_verbosity_error()
+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()