Update src/streamlit_app.py

src/streamlit_app.py

@@ -6,27 +6,31 @@ import urllib.parse
 st.set_page_config(page_title="⚖️ Auto Weight Logger", layout="centered")
 st.title("⚖️ Auto Weight Logger")
 
-# ✅ Flag to reset camera input
-if "retake_photo" not in st.session_state:
-    st.session_state.retake_photo = False
-
-# 🔘 Retake Photo or Clear button logic
-def clear_photo():
-    st.session_state.retake_photo = True
-
-st.button("🔁 Clear / Retake Photo", on_click=clear_photo)
-
-# ✅ Skip camera this run, and reset for next
-if st.session_state.retake_photo:
-    st.session_state.retake_photo = False  # reset the flag
-    st.stop()  # stop here → camera will appear on next run
-
-# 📷 Show camera input
+# --------------------------------
+# ✅ Session state to manage reset
+# --------------------------------
+if "clear" not in st.session_state:
+    st.session_state.clear = False
+
+# 🔘 Clear / Retake Photo Button
+if st.button("🔁 Clear / Retake Photo"):
+    st.session_state.clear = True
+    st.experimental_rerun()  # or st.rerun() if supported
+
+# 🧼 Skip camera input for one run if clearing
+if st.session_state.clear:
+    st.session_state.clear = False
+    st.stop()  # skip rest, rerun will show fresh input
+
+# --------------------------------
+# 📷 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()
@@ -34,24 +38,26 @@ 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}")
 
-    # ❌ Low confidence — offer retake
+    # ⚠️ 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.retake_photo = True
-            st.stop()
+            st.session_state.clear = True
+            st.experimental_rerun()
         st.stop()
 
-    # ✅ Success — show Salesforce link
+    # ✅ Successful result
     st.success(f"✅ Detected Weight: {weight} g (Confidence: {int(confidence)}%)")
 
+    # 🔗 Salesforce redirection setup
     device_id = "BAL-001"
-    image_url = ""  # Optional hosted image URL
+    image_url = ""  # Optional: you can later host image here
 
     encoded_weight = urllib.parse.quote(str(weight))
     encoded_device = urllib.parse.quote(device_id)