Update src/streamlit_app.py

src/streamlit_app.py

@@ -6,28 +6,34 @@ import urllib.parse
 st.set_page_config(page_title="⚖️ Auto Weight Logger", layout="centered")
 st.title("⚖️ Auto Weight Logger")
 
-# Session state
+# Initialize session state
 if "image_data" not in st.session_state:
     st.session_state.image_data = None
 
-# Show camera if no image
+# Clear button to retake image
+if st.button("🔁 Clear / Retake Photo"):
+    st.session_state.image_data = None
+
+# Show camera if no image captured
 if st.session_state.image_data is None:
     img_data = st.camera_input("📷 Capture the weight display")
-
-    if img_data is not None:
+    if img_data:
         st.session_state.image_data = img_data
+        st.experimental_rerun()  # NOTE: Works fine in most Streamlit cloud spaces
 
-# If image exists
+# Show captured image and process
 if st.session_state.image_data:
     st.success("✅ Image captured successfully!")
 
-    image = Image.open(st.session_state.image_data)
-    st.image(image, caption="📸 Snapshot", use_column_width=True)
+    img_data = st.session_state.image_data
 
-    if len(st.session_state.image_data.getvalue()) > 5 * 1024 * 1024:
+    if len(img_data.getvalue()) > 5 * 1024 * 1024:
         st.error("❌ Image too large (>5MB). Please try again.")
         st.stop()
 
+    image = Image.open(img_data)
+    st.image(image, caption="📸 Snapshot", use_column_width=True)
+
     with st.spinner("🔍 Extracting weight..."):
         weight, confidence = extract_weight_from_image(image)
 
@@ -35,23 +41,25 @@ if st.session_state.image_data:
 
     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.image_data = None
+            st.experimental_rerun()
+        st.stop()
 
-    else:
-        st.success(f"✅ Detected Weight: {weight} g (Confidence: {int(confidence)}%)")
+    st.success(f"✅ Detected Weight: {weight} g (Confidence: {int(confidence)}%)")
 
-        # Salesforce link
-        device_id = "BAL-001"
-        image_url = ""
+    # 🌐 Salesforce URL
+    device_id = "BAL-001"
+    image_url = ""
 
-        salesforce_url = (
-            "https://autoweightlogger-dev-ed.my.salesforce-sites.com/"
-            f"weight_logger_page?WeightInput={urllib.parse.quote(str(weight))}"
-            f"&DeviceID={urllib.parse.quote(device_id)}&ImageURL={urllib.parse.quote(image_url)}"
-        )
+    encoded_weight = urllib.parse.quote(str(weight))
+    encoded_device = urllib.parse.quote(device_id)
+    encoded_image_url = urllib.parse.quote(image_url)
 
-        st.markdown("### 📤 Send to Salesforce")
-        st.markdown(f"[✅ Click here to confirm and log in Salesforce]({salesforce_url})", unsafe_allow_html=True)
+    salesforce_url = (
+        "https://autoweightlogger-dev-ed.my.salesforce-sites.com/"
+        f"weight_logger_page?WeightInput={encoded_weight}&DeviceID={encoded_device}&ImageURL={encoded_image_url}"
+    )
 
-    # Clear/Retake button
-    if st.button("🔁 Clear / Retake Photo"):
-        st.session_state.image_data = None
+    st.markdown("### 📤 Send to Salesforce")
+    st.markdown(f"[✅ Click here to confirm and log in Salesforce]({salesforce_url})", unsafe_allow_html=True)