Update src/streamlit_app.py

src/streamlit_app.py

@@ -6,58 +6,82 @@ import urllib.parse
 st.set_page_config(page_title="⚖️ Auto Weight Logger", layout="centered")
 st.title("⚖️ Auto Weight Logger")
 
-# Setup session state
+# ------------------------------
+# ✅ Setup session state for clearing
+# ------------------------------
 if "reset" not in st.session_state:
     st.session_state.reset = False
 
-# Handle clear/restart logic
+# ------------------------------
+# 🔁 If reset is active, clear and rerun once
+# ------------------------------
 if st.session_state.reset:
-    st.session_state.reset = False  # ✅ Reset after 1 rerun
+    st.session_state.reset = False  # clear the flag
     st.rerun()
 
-# Show clear button
+# ------------------------------
+# 🔘 Clear Photo Button
+# ------------------------------
 if st.button("🔁 Clear Photo"):
     st.session_state.reset = True
-    st.stop()
+    st.rerun()
 
-# Camera input
+# ------------------------------
+# 📷 Capture Image from Webcam
+# ------------------------------
 img_data = st.camera_input("📷 Capture the weight display")
 
 if img_data:
     st.success("✅ Image captured successfully!")
 
+    # ✅ Optional: check file size
     if len(img_data.getvalue()) > 5 * 1024 * 1024:
         st.error("❌ Image too large (>5MB). Please try again.")
         st.stop()
 
+    # Open and display image
     image = Image.open(img_data)
     st.image(image, caption="📸 Snapshot", use_column_width=True)
 
+    # --------------------------
+    # 🧠 Extract weight via OCR
+    # --------------------------
     with st.spinner("🔍 Extracting weight..."):
         weight, confidence = extract_weight_from_image(image)
 
     st.write(f"🛠️ DEBUG: weight = {weight}, confidence = {confidence}")
 
+    # --------------------------
+    # ❌ Retry if confidence low
+    # --------------------------
     if not weight or confidence < 80:
         st.error(f"⚠️ OCR confidence too low ({int(confidence)}%). Please retake the image.")
         if st.button("🔁 Retry"):
             st.session_state.reset = True
-            st.stop()
+            st.rerun()
         st.stop()
 
+    # --------------------------
+    # ✅ Success — show result
+    # --------------------------
     st.success(f"✅ Detected Weight: {weight} g (Confidence: {int(confidence)}%)")
 
+    # Salesforce parameters
     device_id = "BAL-001"
-    image_url = ""  # Optional
+    image_url = ""  # Optional: set if you host the image
 
     encoded_weight = urllib.parse.quote(str(weight))
     encoded_device = urllib.parse.quote(device_id)
     encoded_image_url = urllib.parse.quote(image_url)
 
+    # ✅ Salesforce VF Page URL
     salesforce_url = (
         "https://autoweightlogger-dev-ed.my.salesforce-sites.com/"
         f"weight_logger_page?WeightInput={encoded_weight}&DeviceID={encoded_device}&ImageURL={encoded_image_url}"
     )
 
+    # --------------------------
+    # 🔗 Display Salesforce link
+    # --------------------------
     st.markdown("### 📤 Send to Salesforce")
     st.markdown(f"[✅ Click here to confirm and log in Salesforce]({salesforce_url})", unsafe_allow_html=True)