Update app.py

app.py

@@ -1,22 +1,25 @@
 import gradio as gr
 import torch
 from transformers import LayoutLMv3Processor, LayoutLMv3ForTokenClassification
-
-# Explicitly set the Tesseract path
-# For Hugging Face Spaces, set this to the default Linux path
 import pytesseract
+import os
 
-# Set the Tesseract executable path explicitly
+# Explicitly set the Tesseract path for Hugging Face Spaces
 pytesseract.pytesseract.tesseract_cmd = "/usr/bin/tesseract"
 
-
+# Debugging: Print Tesseract version and PATH details
+try:
+    tesseract_version = pytesseract.get_tesseract_version()
+    print("Tesseract Version:", tesseract_version)
+    print("Tesseract Path:", pytesseract.pytesseract.tesseract_cmd)
+    print("Environment PATH:", os.environ["PATH"])
+except Exception as e:
+    print("Tesseract Debugging Error:", e)
 
 # For local development on Windows
 # Uncomment the line below if running locally on Windows
 # pytesseract.pytesseract.tesseract_cmd = r"C:\Program Files\Tesseract-OCR\tesseract.exe"
 
-
-
 # Load the model and processor
 processor = LayoutLMv3Processor.from_pretrained("quadranttechnologies/Table_OCR")
 model = LayoutLMv3ForTokenClassification.from_pretrained("quadranttechnologies/Table_OCR")
@@ -57,7 +60,9 @@ def process_image(image):
         return structured_output
 
     except Exception as e:
-        return {"error": str(e)}  # Return error details if any issue occurs
+        # Debugging: Log any errors encountered during processing
+        print("Error during processing:", str(e))
+        return {"error": str(e)}
 
 # Define the Gradio interface
 interface = gr.Interface(
@@ -70,8 +75,11 @@ interface = gr.Interface(
 
 # Launch the app
 if __name__ == "__main__":
+    # Debugging: Check if the app is starting correctly
+    print("Starting Table OCR App...")
     interface.launch(share=True)
 
 
 
 
+