Update src/streamlit_app.py

src/streamlit_app.py

@@ -6,16 +6,17 @@ import urllib.parse
 st.set_page_config(page_title="⚖️ Auto Weight Logger", layout="centered")
 st.title("⚖️ Auto Weight Logger")
 
-# Show restart button at the top
+# 🔁 Restart App Button
 if st.button("🔁 Restart App"):
-    st.experimental_rerun()
+    st.rerun()
 
-# Camera input
+# 📷 Capture Image
 img_data = st.camera_input("📷 Capture the weight display")
 
 if img_data:
     st.success("✅ Image captured successfully!")
 
+    # Optional file size check
     if len(img_data.getvalue()) > 5 * 1024 * 1024:
         st.error("❌ Image too large (>5MB). Please try again.")
         st.stop()
@@ -28,18 +29,20 @@ if img_data:
 
     st.write(f"🛠️ DEBUG: weight = {weight}, confidence = {confidence}")
 
+    # Confidence check
     if not weight or confidence < 80:
         st.error(f"⚠️ OCR confidence too low ({int(confidence)}%). Please retake the image.")
         if st.button("🔁 Retry"):
-            st.experimental_rerun()
+            st.rerun()
         st.stop()
 
     st.success(f"✅ Detected Weight: {weight} g (Confidence: {int(confidence)}%)")
 
-    # Send to Salesforce
+    # Salesforce Site Parameters
     device_id = "BAL-001"
-    image_url = ""  # Optional, can be a hosted link if added
+    image_url = ""  # Optional image URL
 
+    # Encode parameters
     encoded_weight = urllib.parse.quote(str(weight))
     encoded_device = urllib.parse.quote(device_id)
     encoded_image_url = urllib.parse.quote(image_url)
@@ -51,3 +54,4 @@ if img_data:
 
     st.markdown("### 📤 Send to Salesforce")
     st.markdown(f"[✅ Click here to confirm and log in Salesforce]({salesforce_url})", unsafe_allow_html=True)
+