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app.py

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+import gradio as gr
+from text_classifier import TextClassifier
+
+classifier = TextClassifier()
+
+def predict_sentiment(text):
+    result = classifier.predict(text)
+    return result['label'], result['confidence']
+
+demo = gr.Interface(
+    fn=predict_sentiment,
+    inputs=gr.Textbox(label="Enter text for sentiment analysis", lines=3),
+    outputs=[
+        gr.Textbox(label="Sentiment"),
+        gr.Number(label="Confidence Score")
+    ],
+    title="📝 Text Classification Model",
+    description="This model performs sentiment analysis using a pre-trained transformer model.",
+    examples=[
+        ["I love this product! It's amazing."],
+        ["This is terrible. I hate it."],
+        ["It's okay, nothing special."]
+    ]
+)
+
+if __name__ == "__main__":
+    demo.launch()