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import gradio as gr | |
from PIL import Image | |
from datetime import datetime | |
from ocr_engine import extract_weight | |
def process_image(image): | |
try: | |
if image is None: | |
return "No image provided", "No timestamp", None | |
weight = extract_weight(image) | |
now = datetime.now().strftime("%Y-%m-%d %H:%M:%S") | |
return f"{weight} grams", now, image | |
except Exception as e: | |
return f"Error: {str(e)}", "Error", None | |
with gr.Blocks() as demo: | |
gr.Markdown("## π· Auto Weight Logger β OCR-Based Smart Scale Reader") | |
gr.Markdown("Upload a photo of a digital scale. The app will detect and log the weight.") | |
image_input = gr.Image(type="pil", label="π Upload or Capture Digital Scale Image") | |
detect_btn = gr.Button("π Detect Weight") | |
weight_out = gr.Textbox(label="π¦ Detected Weight") | |
time_out = gr.Textbox(label="β±οΈ Captured At (IST)") | |
snapshot = gr.Image(label="πΌοΈ Snapshot Preview") | |
detect_btn.click(fn=process_image, inputs=image_input, outputs=[weight_out, time_out, snapshot]) | |
demo.launch() | |