Final: Stable Gradio 3.x revert

README.md

@@ -16,8 +16,8 @@ tags:
 datasets:
 - c3rl/IIIT-INDIC-HW-WORDS-Hindi
 sdk: gradio
-sdk_version: "4.44.1"
-python_version: "3.10"
+sdk_version: 3.50.2
+python_version: 3.10
 app_file: app.py
 pinned: true
 ---

app.py

@@ -1,25 +1,3 @@
-import os
-import sys
-
-# --- 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_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 surgical patch: {e}")
-# ----------------------------------------
-
 import gradio as gr
 import torch
 from PIL import Image
@@ -59,7 +37,7 @@ def predict(image):
     except Exception as e:
         return f"Error during inference: {str(e)}"
 
-# Simple Interface - Now protected by the surgical patch
+# Classic Gradio 3.x Interface
 demo = gr.Interface(
     fn=predict,
     inputs=gr.Image(type="pil", label="Upload Handwritten Devanagari Word"),
@@ -70,5 +48,5 @@ demo = gr.Interface(
 )
 
 if __name__ == "__main__":
-    # Zero-config launch is best for HF Spaces
-    demo.launch()
+    # Required settings for Gradio 3.x on HF Spaces
+    demo.launch(server_name="0.0.0.0")