Upload app.py

uploading app.py

app.py

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+##Package
+from transformers import pipeline
+import gradio as gr
+
+pipe_new  = pipeline(task="text-classification", 
+                model="nlptown/bert-base-multilingual-uncased-sentiment")
+
+def sentiment_score(text):
+    return pipe_new(text)[0]['label']
+# Create title, description and article strings
+title = "Sentiment Abalysis"
+description = "This model predicts the sentiment of the review as a number of stars (between 1 and 5) using  nlptown/bert-base-multilingual-uncased-sentiment model"
+# article = "This model predicts the sentiment of the review as a number of stars (between 1 and 5) using  nlptown/bert-base-multilingual-uncased-sentiment model"
+
+
+demo = gr.Interface(fn=sentiment_score, 
+             inputs="text", 
+             outputs="text",
+             title=title, 
+             description=description)
+
+# Launch the app!
+demo.launch()
+
+