Update src/streamlit_app.py

src/streamlit_app.py

@@ -8,44 +8,41 @@ import io
 st.set_page_config(page_title="⚖️ Auto Weight Logger", layout="centered")
 st.title("⚖️ Auto Weight Logger")
 
-# State initialization
-if "image_bytes" not in st.session_state:
-    st.session_state.image_bytes = None
-if "input_mode" not in st.session_state:
-    st.session_state.input_mode = "Camera"
+# Session state for camera reload
 if "camera_key" not in st.session_state:
     st.session_state.camera_key = str(uuid.uuid4())
 
-# Input mode selector
-st.radio("📸 Select Image Input Method:", ["Camera", "Upload"], key="input_mode", horizontal=True)
+# Input method selector
+input_method = st.radio("📸 Select Input Method", ["Camera", "Upload"], horizontal=True)
 
-# Clear/reset
-if st.button("🔁 Clear / Retake Photo"):
-    st.session_state.image_bytes = None
+# Clear button
+if st.button("🔁 Clear / Retake"):
     st.session_state.camera_key = str(uuid.uuid4())
+    st.experimental_rerun()
 
-# Get image input
-if st.session_state.image_bytes is None:
-    uploaded_image = None
+image_bytes = None
+image = None
 
-    if st.session_state.input_mode == "Camera":
-        uploaded_image = st.camera_input("📷 Capture the weight display", key=st.session_state.camera_key)
-        if uploaded_image is not None:
-            st.session_state.image_bytes = uploaded_image.getvalue()
+# ----- CAMERA INPUT -----
+if input_method == "Camera":
+    camera_image = st.camera_input("📷 Capture the weight display", key=st.session_state.camera_key)
+    if camera_image is not None:
+        image_bytes = camera_image.getvalue()
 
-    elif st.session_state.input_mode == "Upload":
-        uploaded_image = st.file_uploader("📁 Upload image of weight display", type=["jpg", "jpeg", "png"])
-        if uploaded_image is not None:
-            st.session_state.image_bytes = uploaded_image.read()
+# ----- FILE UPLOAD INPUT -----
+elif input_method == "Upload":
+    uploaded_file = st.file_uploader("📁 Upload an image (JPG/PNG)", type=["jpg", "jpeg", "png"])
+    if uploaded_file is not None:
+        image_bytes = uploaded_file.read()
 
-# Process and OCR
-if st.session_state.image_bytes:
+# ----- IMAGE PROCESSING -----
+if image_bytes:
     try:
-        image = Image.open(io.BytesIO(st.session_state.image_bytes))
+        image = Image.open(io.BytesIO(image_bytes))
         st.image(image, caption="📸 Snapshot", use_column_width=True)
 
-        if len(st.session_state.image_bytes) > 5 * 1024 * 1024:
-            st.error("❌ Image too large (>5MB). Please try again.")
+        if len(image_bytes) > 5 * 1024 * 1024:
+            st.error("❌ Image too large (>5MB). Please use a smaller one.")
             st.stop()
 
         with st.spinner("🔍 Extracting weight..."):
@@ -58,8 +55,9 @@ if st.session_state.image_bytes:
         else:
             st.success(f"✅ Detected Weight: {weight} g (Confidence: {int(confidence)}%)")
 
+            # Salesforce redirect link
             device_id = "BAL-001"
-            image_url = ""
+            image_url = ""  # Optional
 
             salesforce_url = (
                 "https://autoweightlogger-dev-ed.my.salesforce-sites.com/"
@@ -70,10 +68,6 @@ if st.session_state.image_bytes:
             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 / Upload Another"):
-            st.session_state.image_bytes = None
-            st.session_state.camera_key = str(uuid.uuid4())
-
     except Exception as e:
-        st.error("❌ Failed to load or process image.")
+        st.error("❌ Failed to load or process the image.")
         st.exception(e)