Update app.py

app.py

@@ -3,7 +3,7 @@ from transformers import AutoTokenizer, AutoModelForCausalLM
 import torch
 import json
 
-# Initialize with error handling
+# Initialize model with error handling
 try:
     tokenizer = AutoTokenizer.from_pretrained("numind/NuExtract-1.5")
     model = AutoModelForCausalLM.from_pretrained(
@@ -36,14 +36,25 @@ JSON Output:"""
         extracted = json.loads(result[json_start:json_end])
         
         return "✅ Success", extracted, f"<pre>{json.dumps(extracted, indent=2)}</pre>"
-    
     except Exception as e:
         return f"❌ Error: {str(e)}", {}, f"<p style='color:red'>{str(e)}</p>"
 
-# Gradio interface
+# Gradio interface (properly indented block)
 with gr.Blocks() as demo:
-    # [Keep your existing UI code here]
-    # ...
+    gr.Markdown("# NuExtract-1.5 Structured Data Extractor")
+    
+    with gr.Row():
+        with gr.Column():
+            template = gr.Textbox(label="Template (JSON)", value='{"fields": ["name", "email"]}')
+            text = gr.TextArea(label="Input Text")
+            btn = gr.Button("Extract")
+        
+        with gr.Column():
+            status = gr.Textbox(label="Status")
+            json_out = gr.JSON(label="Output")
+            html_out = gr.HTML()
+    
+    btn.click(extract_structure, [template, text], [status, json_out, html_out])
 
 if __name__ == "__main__":
     demo.launch()