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Update app.py
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app.py
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import os
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import subprocess
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# Force install mmocr at runtime if not available
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try:
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from mmocr.utils.ocr import MMOCR
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print("✅ MMOCR module loaded successfully.")
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except ImportError:
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print("⚠️ MMOCR not found, installing...")
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subprocess.run(["pip", "install", "mmocr==0.5.0", "--no-deps"])
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from mmocr.utils.ocr import MMOCR
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print("✅ MMOCR installed and loaded.")
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from ocr_engine import extract_weight_from_image
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import gradio as gr
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from
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import
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return "No image provided", "", None, None
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ist = pytz.timezone('Asia/Kolkata')
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captured_at = datetime.now(ist).strftime("%Y-%m-%d %H:%M:%S %Z")
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inputs=gr.Image(type="pil", label="Upload Weight Image"),
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outputs=[
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gr.Textbox(label="Detected Weight"),
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gr.Textbox(label="Captured At (IST)"),
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gr.Image(label="Snapshot"),
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gr.Textbox(label="OCR Debug Output")
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],
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title="Auto Weight Logger using MMOCR",
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description="Upload a weight scale image. This app uses MMOCR to detect the weight."
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).launch()
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import gradio as gr
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from mmocr.apis import MMOCR
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import cv2
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import os
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# Initialize MMOCR once
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ocr = MMOCR(det='DB_r18', recog='SAR', device='cpu') # use 'cuda:0' if GPU is available
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def detect_weight(image):
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results = ocr.readtext(image, output=None)
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detected_texts = [item['text'] for item in results[0]['result']]
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# Search for weight-like patterns like "25.5 kg", "100kg", etc.
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weight = "Not detected"
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for text in detected_texts:
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if 'kg' in text.lower():
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weight = text
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break
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return f"Detected Weight: {weight}"
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# Gradio UI
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interface = gr.Interface(
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fn=detect_weight,
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inputs=gr.Image(type="filepath", label="Upload Weight Image"),
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outputs=gr.Textbox(label="OCR Output"),
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title="Weight Detector using MMOCR",
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description="Upload an image with weight text (e.g., '25 kg'), and this app will detect it."
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)
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if __name__ == "__main__":
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interface.launch()
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