Update src/streamlit_app.py

src/streamlit_app.py

@@ -1,6 +1,7 @@
 import streamlit as st
 from PIL import Image
 from ocr_engine import extract_weight_from_image
+import urllib.parse
 
 st.set_page_config(page_title="Auto Weight Logger", layout="centered")
 st.title("⚖️ Auto Weight Logger")
@@ -8,10 +9,44 @@ st.title("⚖️ Auto Weight Logger")
 img_data = st.camera_input("📷 Capture the weight display")
 
 if img_data:
+    # ✅ BRD: Check file size limit
+    if len(img_data.getvalue()) > 5 * 1024 * 1024:
+        st.error("❌ Image too large (>5MB). Please try again.")
+        st.stop()
+
+    # ✅ Preview the image
     image = Image.open(img_data)
     st.image(image, caption="📸 Snapshot", use_column_width=True)
 
-    with st.spinner("Extracting weight..."):
-        weight = extract_weight_from_image(image)
+    # ✅ Extract weight and confidence
+    with st.spinner("🔍 Extracting weight..."):
+        weight, confidence = extract_weight_from_image(image)
+
+    # ✅ BRD: Confidence threshold check
+    if not weight or confidence < 80:
+        st.error(f"⚠️ OCR confidence too low ({int(confidence)}%). Please retake the image.")
+        if st.button("🔁 Try Again"):
+            st.experimental_rerun()
+        st.stop()
+
+    # ✅ Show extracted weight
+    st.success(f"✅ Detected Weight: {weight} g (Confidence: {int(confidence)}%)")
+
+    # ✅ Set device ID and image URL
+    device_id = "BAL-001"
+    image_url = ""  # optional, leave blank unless you host the image
+
+    # ✅ Encode URL parameters
+    encoded_weight = urllib.parse.quote(str(weight))
+    encoded_device = urllib.parse.quote(device_id)
+    encoded_image_url = urllib.parse.quote(image_url)
+
+    # ✅ Salesforce link
+    salesforce_url = (
+        f"https://autoweightlogger-dev-ed.my.salesforce-sites.com/"
+        f"weight_logger_page?WeightInput={encoded_weight}&DeviceID={encoded_device}&ImageURL={encoded_image_url}"
+    )
 
-    st.success(f"✅ Detected Weight: {weight} g")
+    # ✅ Show link to confirm weight in Salesforce
+    st.markdown("### 📤 Send to Salesforce")
+    st.markdown(f"[✅ Click here to confirm and log in Salesforce]({salesforce_url})", unsafe_allow_html=True)