Update src/streamlit_app.py

src/streamlit_app.py

@@ -3,79 +3,81 @@ from PIL import Image, UnidentifiedImageError
 import io
 import uuid
 import urllib.parse
-import pytz
 from datetime import datetime
-from ocr_engine import extract_weight_from_image  # This must return (weight, confidence)
+import pytz
+from ocr_engine import extract_weight_from_image  # Make sure this returns (weight, confidence)
 
-# Page setup
+# Set up page
 st.set_page_config(page_title="⚖️ Auto Weight Logger", layout="centered")
 st.title("⚖️ Auto Weight Logger")
 
-# Store keys/state
+# Session state keys
 if "camera_key" not in st.session_state:
     st.session_state.camera_key = str(uuid.uuid4())
 if "captured_time" not in st.session_state:
     st.session_state.captured_time = ""
 
-# Select input type
+# Get IST time
+def get_current_ist_time():
+    ist = pytz.timezone("Asia/Kolkata")
+    return datetime.now(ist).strftime("%Y-%m-%d %I:%M:%S %p")
+
+# Input selection
 input_mode = st.radio("📸 Select Input Method", ["Camera", "Upload"], horizontal=True)
 
-# Clear/reset
+# Retake button
 if st.button("🔁 Clear / Retake"):
     st.session_state.camera_key = str(uuid.uuid4())
     st.session_state.captured_time = ""
     st.rerun()
 
-# Init
+# Image handling
 image_bytes = None
 image = None
 
-# Capture time (IST)
-def get_current_ist_time():
-    ist = pytz.timezone("Asia/Kolkata")
-    return datetime.now(ist).strftime("%Y-%m-%d %I:%M:%S %p")
-
-# Handle camera
+# Webcam input
 if input_mode == "Camera":
-    cam_photo = st.camera_input("📷 Take a photo", key=st.session_state.camera_key)
+    cam_photo = st.camera_input("📷 Capture Weight Display", key=st.session_state.camera_key)
     if cam_photo:
         image_bytes = cam_photo.getvalue()
         st.session_state.captured_time = get_current_ist_time()
 
-# Handle upload
+# File upload
 elif input_mode == "Upload":
     uploaded_file = st.file_uploader("📁 Upload an image (JPG/PNG)", type=["jpg", "jpeg", "png"])
     if uploaded_file:
         image_bytes = uploaded_file.read()
         st.session_state.captured_time = get_current_ist_time()
 
-# Process if image exists
+# Process and display
 if image_bytes:
     try:
         image = Image.open(io.BytesIO(image_bytes))
 
-        st.subheader("🖼️ Snapshot Image")
+        # 1. Show Captured At
+        st.markdown(f"### 🕒 Captured At (IST): `{st.session_state.captured_time}`")
+
+        # 2. Show Snapshot Image
+        st.markdown("### 🖼️ Snapshot Image")
         st.image(image, use_column_width=True)
 
+        # 3. Extract OCR and show result
         if len(image_bytes) > 5 * 1024 * 1024:
-            st.error("❌ Image is too large (>5MB).")
+            st.error("❌ Image too large (>5MB). Please upload a smaller image.")
             st.stop()
 
-        with st.spinner("🔍 Running OCR..."):
+        with st.spinner("🔍 Extracting weight using OCR..."):
             weight, confidence = extract_weight_from_image(image)
 
-        # Show captured time
-        st.markdown(f"### 🕒 Captured At (IST): `{st.session_state.captured_time}`")
-
-        # Show weight
+        st.markdown("### ⚖️ Captured Weight & OCR Confidence")
         if not weight or confidence < 80:
-            st.markdown(f"### 📦 Captured Weight: `Not Detected`")
-            st.warning(f"⚠️ OCR Confidence too low ({int(confidence)}%)")
+            st.error(f"⚠️ Low OCR Confidence ({int(confidence)}%). Please retake or upload a clearer image.")
+            st.markdown("**Detected Weight:** Not reliable")
         else:
-            st.markdown(f"### 📦 Captured Weight: `{weight} g`")
-            st.success(f"✅ OCR Confidence: {int(confidence)}%")
+            st.success(f"✅ Detected Weight: `{weight} g`")
+            st.markdown(f"**Confidence:** `{int(confidence)}%`")
 
-        # Generate Salesforce URL
+        # 4. Send to Salesforce
         device_id = "BAL-001"
         image_url = ""  # optional
 
@@ -89,7 +91,7 @@ if image_bytes:
         st.markdown(f"[📤 Click to Log Weight in Salesforce]({salesforce_url})", unsafe_allow_html=True)
 
     except UnidentifiedImageError:
-        st.error("❌ Invalid image file.")
+        st.error("❌ Unable to process image. Please upload a valid JPG or PNG.")
     except Exception as e:
         st.error("❌ Unexpected error.")
         st.exception(e)