Create app.py

app.py

@@ -0,0 +1,21 @@
+import gradio as gr
+from transformers import pipeline
+
+# Load the sentiment analysis model
+sentiment_pipeline = pipeline("sentiment-analysis")
+
+def analyze_sentiment(text):
+    result = sentiment_pipeline(text)[0]
+    return f"Label: {result['label']}, Confidence: {result['score']:.4f}"
+
+# Define the Gradio interface
+iface = gr.Interface(
+    fn=analyze_sentiment, 
+    inputs=gr.Textbox(lines=2, placeholder="Enter text here..."), 
+    outputs="text",
+    title="Sentiment Analysis",
+    description="Enter a sentence to analyze its sentiment."
+)
+
+# Launch the interface
+iface.launch()