Fix: Surgical patch to enable Recognize button

app.py

@@ -1,18 +1,24 @@
 import os
 import sys
 
-# --- ROBUST MONKEY-PATCH FOR GRADIO SCHEMA BUG ---
-# This bypasses the 'TypeError: argument of type bool is not iterable' 
-# that occurs in Gradio 4.x/5.x internal API generation.
+# --- SURGICAL MONKEY-PATCH FOR GRADIO ---
+# This fixes the exact internal function that crashes on 'bool' types
+# without breaking the actual API endpoints.
 try:
-    import gradio.blocks
-    def robust_get_api_info(self):
-        return {"root": "/", "endpoints": {}}
-    gradio.blocks.Blocks.get_api_info = robust_get_api_info
-    print("System: Applied robust monkey-patch for Gradio API schema bug.")
+    import gradio_client.utils
+    original_fn = gradio_client.utils.json_schema_to_python_type
+    
+    def patched_json_schema_to_python_type(schema, *args, **kwargs):
+        # The bug happens when 'schema' is a boolean. We force it to be a dict or handle it.
+        if isinstance(schema, bool):
+            return "Any"
+        return original_fn(schema, *args, **kwargs)
+    
+    gradio_client.utils.json_schema_to_python_type = patched_json_schema_to_python_type
+    print("System: Applied surgical monkey-patch for Gradio schema bug.")
 except Exception as e:
-    print(f"System: Failed to apply patch (non-critical): {e}")
-# ------------------------------------------------
+    print(f"System: Failed to apply surgical patch: {e}")
+# ----------------------------------------
 
 import gradio as gr
 import torch
@@ -53,16 +59,16 @@ def predict(image):
     except Exception as e:
         return f"Error during inference: {str(e)}"
 
-# Modern Interface with the patch protection
+# Simple Interface - Now protected by the surgical patch
 demo = gr.Interface(
     fn=predict,
-    inputs=gr.Image(type="pil", label="Upload Devanagari Word"),
+    inputs=gr.Image(type="pil", label="Upload Handwritten Devanagari Word"),
     outputs=gr.Textbox(label="Recognized Text"),
-    title="DevGen OCR",
-    description="Handwritten Devanagari word recognition.",
+    title="DevGen Devanagari OCR",
+    description="Recognize handwritten Devanagari words using TrOCR and LoRA adaptation.",
     allow_flagging="never"
 )
 
 if __name__ == "__main__":
-    # Launch on standard HF port
-    demo.launch(server_name="0.0.0.0", server_port=7860)
+    # Zero-config launch is best for HF Spaces
+    demo.launch()