Create app.py

app.py

@@ -0,0 +1,15 @@
+import gradio as gr
+from transformers import pipeline
+
+# Load the sentiment analysis model
+classifier = pipeline('sentiment-analysis')
+
+def sentiment_analysis(text):
+    result = classifier(text)
+    return result[0]['label'], result[0]['score']
+
+# Create a Gradio interface
+demo = gr.Interface(fn=sentiment_analysis, inputs="text", outputs=["text", "number"])
+
+# Launch the Gradio app
+demo.launch()