Create app.py

app.py

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+import gradio as gr
+from datetime import datetime
+import pytz
+from ocr_engine import extract_weight_from_image
+
+def process_image(img):
+    if img is None:
+        return "No image uploaded", None, None
+
+    ist_time = datetime.now(pytz.timezone("Asia/Kolkata")).strftime("%d-%m-%Y %I:%M:%S %p")
+    weight, confidence = extract_weight_from_image(img)
+    return f"{weight} g (Confidence: {confidence}%)", ist_time, img
+
+with gr.Blocks(title="⚖️ Auto Weight Logger") as demo:
+    gr.Markdown("## ⚖️ Auto Weight Logger")
+
+    with gr.Row():
+        image_input = gr.Image(type="pil", label="📷 Upload or Capture Image")
+        output_weight = gr.Textbox(label="⚖️ Detected Weight")
+
+    with gr.Row():
+        timestamp = gr.Textbox(label="🕒 Captured At (IST)")
+        snapshot = gr.Image(label="📸 Snapshot Image")
+
+    submit = gr.Button("🔍 Detect Weight")
+    submit.click(process_image, inputs=image_input, outputs=[output_weight, timestamp, snapshot])
+
+demo.launch()