Robust: Monkey-patch Gradio API schema bug

README.md

@@ -17,7 +17,7 @@ datasets:
 - c3rl/IIIT-INDIC-HW-WORDS-Hindi
 sdk: gradio
 sdk_version: "4.44.1"
-python_version: "3.9"
+python_version: "3.10"
 app_file: app.py
 pinned: true
 ---

app.py

@@ -1,3 +1,19 @@
+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.
+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.")
+except Exception as e:
+    print(f"System: Failed to apply patch (non-critical): {e}")
+# ------------------------------------------------
+
 import gradio as gr
 import torch
 from PIL import Image
@@ -6,7 +22,6 @@ from transformers import AutoTokenizer, TrOCRProcessor, ViTImageProcessor, Visio
 
 # Configuration
 BASE_MODEL_ID = "paudelanil/trocr-devanagari-2"
-# Ensuring the HF Username is correct
 ADAPTER_ID = "manishw10/devgen-trocr-devanagari-lora" 
 
 print("System: Loading model components...")
@@ -38,18 +53,16 @@ def predict(image):
     except Exception as e:
         return f"Error during inference: {str(e)}"
 
-# The most stable UI structure: gr.Interface
-# This avoids the complex nested blocks that trigger the Gradio 4.x schema bug
+# Modern Interface with the patch protection
 demo = gr.Interface(
     fn=predict,
-    inputs=gr.Image(type="pil", label="Devanagari Image"),
+    inputs=gr.Image(type="pil", label="Upload Devanagari Word"),
     outputs=gr.Textbox(label="Recognized Text"),
-    title="DevGen OCR Demo",
+    title="DevGen OCR",
     description="Handwritten Devanagari word recognition.",
     allow_flagging="never"
 )
 
 if __name__ == "__main__":
-    # Robust launch: No manual IP/Port. 
-    # Gradio automatically configures itself for Hugging Face Spaces.
-    demo.launch()
+    # Launch on standard HF port
+    demo.launch(server_name="0.0.0.0", server_port=7860)