Create app.py

app.py

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+import gradio as gr
+from inference import SentimentClassifier
+
+# Load classifier
+classifier = SentimentClassifier(".")
+
+def predict_sentiment(text):
+    """Predict sentiment and return results"""
+    result = classifier.predict(text)
+    
+    return {
+        "Sentiment": result["sentiment"].upper(),
+        "Confidence": f"{result['confidence']:.2%}",
+        "Negative Probability": f"{result['probabilities']['negative']:.2%}",
+        "Positive Probability": f"{result['probabilities']['positive']:.2%}"
+    }
+
+# Create interface
+demo = gr.Interface(
+    fn=predict_sentiment,
+    inputs=gr.Textbox(
+        label="Enter text to analyze",
+        placeholder="Type your text here...",
+        lines=3
+    ),
+    outputs=gr.JSON(label="Prediction Results"),
+    title="🎭 Sentiment Analyzer",
+    description="Classify text as positive or negative using Qwen3 embeddings + Logistic Regression",
+    examples=[
+        ["This movie was absolutely wonderful!"],
+        ["Terrible experience, complete waste of time."],
+        ["It's okay, nothing special."]
+    ]
+)
+
+demo.launch()