Create app.py

app.py

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+#Filter the warnings
+import warnings
+warnings.filterwarnings('ignore')
+from transformers import logging
+logging.set_verbosity_error()
+
+#Import the necessary
+import gradio as gr
+from transformers import pipeline
+
+#Perform Image Captioning
+get_completion = pipeline("image-to-text",model="Salesforce/blip-image-captioning-base")
+
+#Launch the input
+def launch(input):
+  out=get_completion(input)
+  return out[0]['generated_text']
+
+#Define an interface
+interface=gr.Interface(fn=launch,inputs=gr.Image(type="pil"),outputs="text",title="Image Captioning with BLIP")
+
+interface.launch()
+