Update src/streamlit_app.py

src/streamlit_app.py

@@ -2,38 +2,38 @@ import streamlit as st
 from PIL import Image
 from ocr_engine import extract_weight_from_image
 import urllib.parse
+import uuid
 
 st.set_page_config(page_title="⚖️ Auto Weight Logger", layout="centered")
 st.title("⚖️ Auto Weight Logger")
 
-# Initialize session state
+# Session state
 if "image_data" not in st.session_state:
     st.session_state.image_data = None
+if "camera_key" not in st.session_state:
+    st.session_state.camera_key = str(uuid.uuid4())
 
-# Clear button to retake image
+# Clear / Retake
 if st.button("🔁 Clear / Retake Photo"):
     st.session_state.image_data = None
+    st.session_state.camera_key = str(uuid.uuid4())  # new key to force reload
 
-# Show camera if no image captured
+# Show camera
 if st.session_state.image_data is None:
-    img_data = st.camera_input("📷 Capture the weight display")
+    img_data = st.camera_input("📷 Capture the weight display", key=st.session_state.camera_key)
     if img_data:
         st.session_state.image_data = img_data
-        st.experimental_rerun()  # NOTE: Works fine in most Streamlit cloud spaces
 
-# Show captured image and process
+# Process image
 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(img_data.getvalue()) > 5 * 1024 * 1024:
+    if len(st.session_state.image_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)
 
@@ -41,25 +41,21 @@ 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()
-
-    st.success(f"✅ Detected Weight: {weight} g (Confidence: {int(confidence)}%)")
+    else:
+        st.success(f"✅ Detected Weight: {weight} g (Confidence: {int(confidence)}%)")
 
-    # 🌐 Salesforce URL
-    device_id = "BAL-001"
-    image_url = ""
+        device_id = "BAL-001"
+        image_url = ""
 
-    encoded_weight = urllib.parse.quote(str(weight))
-    encoded_device = urllib.parse.quote(device_id)
-    encoded_image_url = urllib.parse.quote(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)}"
+        )
 
-    salesforce_url = (
-        "https://autoweightlogger-dev-ed.my.salesforce-sites.com/"
-        f"weight_logger_page?WeightInput={encoded_weight}&DeviceID={encoded_device}&ImageURL={encoded_image_url}"
-    )
+        st.markdown("### 📤 Send to Salesforce")
+        st.markdown(f"[✅ Click here to confirm and log in Salesforce]({salesforce_url})", unsafe_allow_html=True)
 
-    st.markdown("### 📤 Send to Salesforce")
-    st.markdown(f"[✅ Click here to confirm and log in Salesforce]({salesforce_url})", unsafe_allow_html=True)
+    if st.button("🔁 Retake Photo"):
+        st.session_state.image_data = None
+        st.session_state.camera_key = str(uuid.uuid4())