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Update app.py
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app.py
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import gradio as gr
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from PIL import Image
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import easyocr
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import numpy as np
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import pytesseract
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# Initialize EasyOCR reader
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pytesseract.pytesseract.tesseract_cmd = '/usr/bin/tesseract'
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def get_metrics(model):
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# Simulated metrics for demo
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if model == "EasyOCR":
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return {"Accuracy": "95%", "Precision": "94%", "Pipeline": "Easy Integration (90%)"}
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elif model == "Tesseract":
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return {"Accuracy": "85%", "Precision": "83%", "Pipeline": "Manual Integration (75%)"}
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else:
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return {}
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def ocr_all(img, ground_truth):
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if img is None:
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return "No image
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img_array = np.array(img)
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# EasyOCR
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try:
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except Exception as e:
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metrics_easy = get_metrics("EasyOCR")
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# Tesseract OCR with graceful error handling
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try:
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text_tess = pytesseract.image_to_string(img)
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except Exception as e:
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text_tess = f"Tesseract Error: {str(e)}"
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metrics_tess = get_metrics("Tesseract")
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output_easy = f"**Output:**\n{text_easy}\n\n" + "\n".join([f"{k}: {v}" for k,v in metrics_easy.items()])
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output_tess = f"**Output:**\n{text_tess}\n\n" + "\n".join([f"{k}: {v}" for k,v in metrics_tess.items()])
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return output_easy, output_tess
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with gr.Blocks() as demo:
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gr.Markdown("#
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out_tess = gr.Markdown(label="Tesseract Output")
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btn.click(ocr_all, inputs=[img_in, txt_in], outputs=[out_easy, out_tess])
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demo.launch()
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import gradio as gr
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import easyocr
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import numpy as np
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# Initialize EasyOCR reader once
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reader = easyocr.Reader(['en'])
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def ocr_easy(img):
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if img is None:
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return "No image uploaded"
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# Convert PIL Image to numpy array
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img_array = np.array(img)
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try:
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results = reader.readtext(img_array, detail=0, paragraph=True)
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return "\n".join(results)
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except Exception as e:
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return f"EasyOCR Error: {str(e)}"
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with gr.Blocks() as demo:
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gr.Markdown("# EasyOCR Demo")
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img_input = gr.Image(type="pil", label="Upload Image")
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output_text = gr.Textbox(label="OCR Result", lines=10)
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button = gr.Button("Run EasyOCR")
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button.click(ocr_easy, inputs=[img_input], outputs=[output_text])
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demo.launch()
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