Create app.py

app.py

@@ -0,0 +1,21 @@
+import gradio as gr
+from transformers import pipeline
+
+# Load Hugging Face sentiment analysis pipeline
+sentiment_pipeline = pipeline("sentiment-analysis")
+
+# Define function to wrap the model
+def analyze_sentiment(text):
+    result = sentiment_pipeline(text)[0]
+    return f"Label: {result['label']}, Confidence: {round(result['score'], 3)}"
+
+# Create Gradio interface
+interface = gr.Interface(fn=analyze_sentiment,
+                         inputs="text",
+                         outputs="text",
+                         title="Sentiment Analysis App",
+                         description="Enter a sentence to analyze its sentiment.")
+
+# Launch app (not needed on Spaces, but useful for local testing)
+if __name__ == "__main__":
+    interface.launch()