Create app.py

app.py

@@ -0,0 +1,14 @@
+import transformers
+import gradio as gr
+from transformers import pipeline
+sentiment =pipeline("text-classification", model="tabularisai/multilingual-sentiment-analysis")
+# Classify a new sentence
+sentence = "I love this product! It's amazing and works perfectly."
+result = sentiment(sentence)
+def get_sentiment(text):
+    result = sentiment(text)
+    label = result[0]['label']
+    score = result[0]['score']
+    return label, score 
+interface = gr.Interface(fn=get_sentiment, inputs= "textbox", outputs=["text","text"])
+interface.launch()