Create app.py

app.py

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+from transformers import pipeline
+
+pipe = pipeline("text-classification", model="nlptown/bert-base-multilingual-uncased-sentiment")
+
+def sentiment_analysis(inputText):
+  result = pipe(inputText)
+  return result[0]['label']
+
+examples = [
+    ["I love this product! It's amazing!"],
+    ["This was the worst experience I've ever had."],
+    ["The movie was okay, not great but not bad either."],
+    ["Absolutely fantastic! I would recommend it to everyone."],
+]
+
+iface = gr.Interface(
+    fn=sentiment_analysis,
+    examples=examples,
+    inputs=gr.Textbox(label='Enter a text to analyze'),
+    outputs=gr.Textbox(label='Sentiment')
+)
+
+iface.launch()