Upload app.py

app.py

@@ -0,0 +1,33 @@
+import gradio as gr
+import json
+from models.intent_classifier import classify_conversation
+from utils.preprocessing import preprocess_messages
+from config import INTENT_LABELS
+
+def predict_intent(json_str):
+    try:
+        data = json.loads(json_str)
+        results = []
+        for conv in data:
+            messages = conv.get("messages", [])
+            cleaned = preprocess_messages(messages)
+            intent, rationale = classify_conversation(cleaned)
+            results.append({
+                "conversation_id": conv.get("conversation_id", "unknown"),
+                "predicted_intent": intent,
+                "rationale": rationale
+            })
+        return json.dumps(results, indent=2)
+    except Exception as e:
+        return f"❌ Error: {str(e)}"
+
+demo = gr.Interface(
+    fn=predict_intent,
+    inputs=gr.Textbox(label="Paste Chat JSON", lines=20, placeholder='[{"conversation_id": "...", "messages": [...] }]'),
+    outputs=gr.Textbox(label="Predicted Intents with Rationale"),
+    title="🧠 Multi-Turn Intent Classifier",
+    description="Paste WhatsApp-style chat logs to classify the final customer intent."
+)
+
+if __name__ == "__main__":
+    demo.launch()