Update app.py

app.py

@@ -1,79 +1,4 @@
-# import gradio as gr
-# from pix2text import Pix2Text
-# import logging
-# from PIL import Image
-
-# # Set up logging to WARNING level to suppress excessive output from model libraries
-# logging.basicConfig(level=logging.WARNING)
-
-# # Initialize Pix2Text model globally (expensive operation, do it once)
-# p2t = None
-# try:
-#     # Initialize the Pix2Text model
-#     p2t = Pix2Text()
-# except Exception as e:
-#     print(f"Error initializing Pix2Text model: {e}. Recognition will use a fallback function.")
-
-# # Define the main recognition function
-# def recognize_text(image_path: str) -> str:
-#     """
-#     Performs OCR on the uploaded image and safely parses the output.
-#     This function includes the fix for the "'str' object has no attribute 'text'" error.
-#     """
-#     if p2t is None:
-#         return (
-#             "Model initialization failed at startup. Please check the logs "
-#             "to ensure all dependencies (like ONNX runtime) loaded correctly."
-#         )
-
-#     try:
-#         # Recognize text and formulas
-#         result = p2t.recognize(image_path, save_formula_images=False, use_analyzer=True)
-
-#         extracted_parts = []
-
-#         # Loop through the result list and safely extract text from P2T objects or strings
-#         for item in result:
-#             if hasattr(item, 'text'):
-#                 # P2TOutput object (for formulas or structured text)
-#                 extracted_parts.append(item.text)
-#             elif isinstance(item, str):
-#                 # Simple text string
-#                 extracted_parts.append(item)
-#             # Ignore anything else
-
-#         extracted_text = "\n\n".join(extracted_parts)
-
-#         if not extracted_text.strip():
-#              return "No recognizable text or formulas found in the image."
-
-#         return extracted_text
-
-#     except Exception as e:
-#         # Catch any unexpected errors during the recognition process
-#         return f"An unexpected error occurred during recognition: {e}"
-
-
-# # --- Gradio Interface Setup ---
-
-# iface = gr.Interface(
-#     fn=recognize_text,
-#     # Use type="filepath" to send the local file path to the Python function
-#     inputs=gr.Image(type="filepath", label="Upload Image (Text/Formula/Math)"),
-#     # The output is a standard textbox
-#     outputs=gr.Textbox(label="Extracted Text (LaTeX/Plain Text)"),
-#     title="🔬 Pix2Text OCR Formula and Text Recognition",
-#     description=(
-#         "Upload an image containing text, mathematical formulas, or scientific notation. "
-#         "The app converts the image content into editable text, using LaTeX for formulas."
-#     ),
-#     theme=gr.themes.Soft(),
-#     allow_flagging="never",
-# )
-
-# # Launch the Gradio app
-# if __name__ == "__main__":
-#     iface.launch(show_api=False)
+