Update app.py

app.py

@@ -2,20 +2,16 @@ import gradio as gr
 from PIL import Image
 import easyocr
 import numpy as np
-from paddleocr import PaddleOCR
 import pytesseract
 
 # Initialize OCR models
 easyocr_reader = easyocr.Reader(['en'])
-paddleocr_reader = PaddleOCR()
 # Tesseract uses pytesseract directly
 
 def get_metrics(model):
-    # Simulated fixed scores according to your specification
+    # Updated simulated fixed scores without PaddleOCR
     if model == "EasyOCR":
         return {"Accuracy": "95%", "Precision": "94%", "Pipeline": "Easy Integration (90%)"}
-    elif model == "PaddleOCR":
-        return {"Accuracy": "90%", "Precision": "89%", "Pipeline": "Moderate Integration (85%)"}
     elif model == "Tesseract":
         return {"Accuracy": "85%", "Precision": "83%", "Pipeline": "Manual Integration (75%)"}
     else:
@@ -29,35 +25,25 @@ def ocr_all(img, ground_truth):
     text_easy = "\n".join(result_easy)
     metrics_easy = get_metrics("EasyOCR")
     
-    # PaddleOCR
-    result_paddle = paddleocr_reader.ocr(img_array, cls=True)
-    try:
-        text_paddle = " ".join([line[1][0] for line in result_paddle])
-    except Exception:
-        text_paddle = "Error during PaddleOCR"
-    metrics_paddle = get_metrics("PaddleOCR")
-    
     # Tesseract
     text_tess = pytesseract.image_to_string(img)
     metrics_tess = get_metrics("Tesseract")
     
     output_easy = f"**Output:**\n{text_easy}\n\n" + "\n".join([f"{k}: {v}" for k,v in metrics_easy.items()])
-    output_paddle = f"**Output:**\n{text_paddle}\n\n" + "\n".join([f"{k}: {v}" for k,v in metrics_paddle.items()])
     output_tess = f"**Output:**\n{text_tess}\n\n" + "\n".join([f"{k}: {v}" for k,v in metrics_tess.items()])
     
-    return output_easy, output_paddle, output_tess
+    return output_easy, output_tess
 
 with gr.Blocks() as demo:
-    gr.Markdown("# Multi-OCR Model Demo\nUpload an image and paste the correct ground-truth text below.")
+    gr.Markdown("# Multi-OCR Model Demo without PaddleOCR\nUpload an image and paste the correct ground-truth text below.")
     with gr.Row():
         img_in = gr.Image(type="pil", label="Screenshot")
     txt_in = gr.Textbox(lines=4, label="Ground Truth Text Here")
     btn = gr.Button("Run OCR")
     with gr.Row():
         out_easy = gr.Markdown(label="EasyOCR Output")
-        out_paddle = gr.Markdown(label="PaddleOCR Output")
         out_tess = gr.Markdown(label="Tesseract Output")
 
-    btn.click(ocr_all, inputs=[img_in, txt_in], outputs=[out_easy, out_paddle, out_tess])
+    btn.click(ocr_all, inputs=[img_in, txt_in], outputs=[out_easy, out_tess])
 
 demo.launch()