Update src/streamlit_app.py

src/streamlit_app.py

@@ -1,30 +1,16 @@
 import streamlit as st
-import os
-from PIL import Image
-from ocr_engine import extract_weight_from_image
+import cv2
+import tempfile
+import base64
+from ocr_engine import extract_weight
 
-Install Tesseract runtime in Hugging Face Space
-os.system("apt update && apt install -y tesseract-ocr")
+st.title("Auto Weight Logger")
+img_data = st.camera_input("Capture weight display")
 
-st.set_page_config(page_title="⚖️ Auto Weight Logger", layout="centered")
-st.title("📷 Auto Weight Logger")
-st.write("Capture the weight display using your camera or upload an image")
-
-Option 1: Capture image from webcam
-image_file = st.camera_input("Take a photo")
-
-Option 2: Upload image from local machine
-if image_file is None:
-image_file = st.file_uploader("Or upload an image", type=["jpg", "jpeg", "png"])
-
-if image_file is not None:
-image = Image.open(image_file)
-st.image(image, caption="Uploaded Image", use_column_width=True)
-
-python
-Copy
-Edit
-with st.spinner("🔍 Extracting weight..."):
-    result = extract_weight_from_image(image)
-
-st.success(f"✅ Detected Weight: {result} g")
+if img_data:
+    with tempfile.NamedTemporaryFile(delete=False, suffix=".jpg") as f:
+        f.write(img_data.getvalue())
+        f.flush()
+        weight = extract_weight(f.name)
+        st.image(f.name, caption="Snapshot")
+        st.success(f"Detected Weight: {weight} g")