Spaces:
Running
Running
import gradio as gr | |
from PIL import Image | |
from datetime import datetime | |
from ocr_engine import extract_weight | |
def process_image(image): | |
if image is None: | |
return "No image received", None, None | |
weight = extract_weight(image) | |
now = datetime.now().strftime("%Y-%m-%d %H:%M:%S") | |
return f"{weight} grams", now, image | |
with gr.Blocks() as demo: | |
gr.Markdown("## π· Auto Weight Logger β OCR-Based Smart Scale Reader") | |
gr.Markdown("Upload a snapshot of a digital weight display or use webcam. The app extracts weight using OCR.") | |
with gr.Row(): | |
webcam = gr.Image(source="webcam", type="pil", label="πΈ Capture from Webcam") | |
upload = gr.Image(source="upload", type="pil", label="π Or Upload Image") | |
image_input = gr.State() | |
def choose_image(w, u): | |
return w if w else u | |
webcam.change(fn=choose_image, inputs=[webcam, upload], outputs=image_input) | |
upload.change(fn=choose_image, inputs=[webcam, upload], outputs=image_input) | |
submit_btn = gr.Button("π Detect Weight") | |
weight_out = gr.Textbox(label="Detected Weight") | |
time_out = gr.Textbox(label="Captured At (IST)") | |
snapshot_out = gr.Image(label="Snapshot") | |
submit_btn.click(fn=process_image, inputs=image_input, outputs=[weight_out, time_out, snapshot_out]) | |
demo.launch() | |