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app.py

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+import gradio as gr
+
+from transformers import pipeline
+
+pipe = pipeline("sentiment", model="enio/Sentiment_BERT")
+
+def predict(text):
+  return pipe(text)[0]["sentiment_text"]
+
+iface = gr.Interface(
+  fn=predict, 
+  inputs='text',
+  outputs='text',
+  examples=[["This is Awesome!"]]
+)
+
+iface.launch()