Update src/streamlit_app.py

src/streamlit_app.py

@@ -6,31 +6,26 @@ import urllib.parse
 st.set_page_config(page_title="⚖️ Auto Weight Logger", layout="centered")
 st.title("⚖️ Auto Weight Logger")
 
-# --------------------------------
-# ✅ Session state to manage reset
-# --------------------------------
+# ✅ Manage camera state
 if "clear" not in st.session_state:
     st.session_state.clear = False
 
-# 🔘 Clear / Retake Photo Button
+# 🔘 Clear / Retake Photo button
 if st.button("🔁 Clear / Retake Photo"):
     st.session_state.clear = True
-    st.experimental_rerun()  # or st.rerun() if supported
+    st.rerun()  # ✅ use st.rerun, not experimental_rerun
 
-# 🧼 Skip camera input for one run if clearing
+# 🧼 Skip this run if clearing
 if st.session_state.clear:
     st.session_state.clear = False
-    st.stop()  # skip rest, rerun will show fresh input
+    st.stop()
 
-# --------------------------------
 # 📷 Camera Input
-# --------------------------------
 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()
@@ -38,26 +33,22 @@ if img_data:
     image = Image.open(img_data)
     st.image(image, caption="📸 Snapshot", use_column_width=True)
 
-    # 🔍 Run OCR
     with st.spinner("🔍 Extracting weight..."):
         weight, confidence = extract_weight_from_image(image)
 
     st.write(f"🛠️ DEBUG: weight = {weight}, confidence = {confidence}")
 
-    # ⚠️ If confidence too low, allow retake
     if not weight or confidence < 80:
         st.error(f"⚠️ OCR confidence too low ({int(confidence)}%). Please retake the photo.")
         if st.button("🔁 Retake Photo"):
             st.session_state.clear = True
-            st.experimental_rerun()
+            st.rerun()
         st.stop()
 
-    # ✅ Successful result
     st.success(f"✅ Detected Weight: {weight} g (Confidence: {int(confidence)}%)")
 
-    # 🔗 Salesforce redirection setup
     device_id = "BAL-001"
-    image_url = ""  # Optional: you can later host image here
+    image_url = ""
 
     encoded_weight = urllib.parse.quote(str(weight))
     encoded_device = urllib.parse.quote(device_id)