Spaces:
Running
Running
import gradio as gr | |
from PIL import Image | |
from datetime import datetime | |
import pytz | |
from ocr_engine import extract_weight | |
def process_image(image): | |
if image is None: | |
return "β No image provided", "", None, gr.update(visible=True) | |
try: | |
weight = extract_weight(image) | |
ist = pytz.timezone('Asia/Kolkata') | |
timestamp = datetime.now(ist).strftime("%Y-%m-%d %H:%M:%S IST") | |
if not weight or "No valid" in weight: | |
return "β Unable to detect. Try again with clearer image.", "", image, gr.update(visible=True) | |
return weight, timestamp, image, gr.update(visible=False) | |
except Exception as e: | |
return f"Error: {str(e)}", "", None, gr.update(visible=True) | |
with gr.Blocks(css=".gr-button {background-color: #2e7d32 !important; color: white !important;}") as demo: | |
gr.Markdown(""" | |
<h1 style='text-align: center; color: #2e7d32;'>π· Auto Weight Logger</h1> | |
<p style='text-align: center;'>Upload or capture a digital weight image. Detects weight using OCR.</p> | |
<hr style='border: 1px solid #ddd;'/> | |
""") | |
with gr.Row(): | |
image_input = gr.Image(type="pil", label="π Upload or Capture Image") | |
detect_btn = gr.Button("π Detect Weight") | |
with gr.Row(): | |
weight_out = gr.Textbox(label="π¦ Detected Weight", placeholder="e.g., 97.9 kg", show_copy_button=True) | |
time_out = gr.Textbox(label="π Captured At (IST)", placeholder="e.g., 2025-06-30 14:32:10") | |
snapshot = gr.Image(label="πΈ Snapshot Preview") | |
retake_btn = gr.Button("π Retake / Try Again", visible=False) | |
detect_btn.click(fn=process_image, inputs=image_input, outputs=[weight_out, time_out, snapshot, retake_btn]) | |
retake_btn.click(fn=lambda: ("", "", None, gr.update(visible=False)), | |
inputs=[], outputs=[weight_out, time_out, snapshot, retake_btn]) | |
gr.Markdown(""" | |
<p style='text-align: center; color: gray;'>Tip: Ensure the image is clear and not blurry.<br>Developed by Shalu β’ Hugging Face OCR β‘</p> | |
""") | |
demo.launch() | |