Create app.py

app.py

@@ -0,0 +1,18 @@
+import gradio as gr
+from transformers import pipeline
+
+# Load the pre-trained sentiment analysis model
+sentiment_analysis = pipeline("sentiment-analysis")
+
+# Define the function for sentiment prediction
+def predict_sentiment(text):
+    result = sentiment_analysis(text)
+    return result[0]['label']
+
+# Create the Gradio interface
+iface = gr.Interface(fn=predict_sentiment, inputs="text", outputs="text",
+                    title="Sentiment Analyser",
+    description="Here's a demo SA.",)
+
+# Launch the app
+iface.launch(share=True)