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import gradio as gr
from mmocr.apis import MMOCR
import cv2
import os
# Initialize MMOCR once
ocr = MMOCR(det='DB_r18', recog='SAR', device='cpu') # use 'cuda:0' if GPU is available
def detect_weight(image):
results = ocr.readtext(image, output=None)
detected_texts = [item['text'] for item in results[0]['result']]
# Search for weight-like patterns like "25.5 kg", "100kg", etc.
weight = "Not detected"
for text in detected_texts:
if 'kg' in text.lower():
weight = text
break
return f"Detected Weight: {weight}"
# Gradio UI
interface = gr.Interface(
fn=detect_weight,
inputs=gr.Image(type="filepath", label="Upload Weight Image"),
outputs=gr.Textbox(label="OCR Output"),
title="Weight Detector using MMOCR",
description="Upload an image with weight text (e.g., '25 kg'), and this app will detect it."
)
if __name__ == "__main__":
interface.launch()
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