Update src/streamlit_app.py

src/streamlit_app.py

@@ -8,78 +8,72 @@ import io
 st.set_page_config(page_title="⚖️ Auto Weight Logger", layout="centered")
 st.title("⚖️ Auto Weight Logger")
 
-# Session state
-if "image_data" not in st.session_state:
-    st.session_state.image_data = None
+# 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"
 if "camera_key" not in st.session_state:
     st.session_state.camera_key = str(uuid.uuid4())
 
-# Choose input method
+# Input mode selector
 st.radio("📸 Select Image Input Method:", ["Camera", "Upload"], key="input_mode", horizontal=True)
 
-# Clear/reset image
+# Clear/reset
 if st.button("🔁 Clear / Retake Photo"):
-    st.session_state.image_data = None
+    st.session_state.image_bytes = None
     st.session_state.camera_key = str(uuid.uuid4())
 
 # Get image input
-uploaded_image = None
+if st.session_state.image_bytes is None:
+    uploaded_image = None
 
-if st.session_state.image_data is None:
     if st.session_state.input_mode == "Camera":
         uploaded_image = st.camera_input("📷 Capture the weight display", key=st.session_state.camera_key)
-    else:
-        uploaded_image = st.file_uploader("📁 Upload an image of the weight display", type=["jpg", "jpeg", "png"])
+        if uploaded_image is not None:
+            st.session_state.image_bytes = uploaded_image.getvalue()
 
-    if uploaded_image:
-        st.session_state.image_data = uploaded_image
+    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()
 
-# Process image
-if st.session_state.image_data:
-    st.success("✅ Image received successfully!")
-
-    # Convert to PIL image
+# Process and OCR
+if st.session_state.image_bytes:
     try:
-        image_bytes = st.session_state.image_data.read() if hasattr(st.session_state.image_data, 'read') else st.session_state.image_data.getvalue()
-        image = Image.open(io.BytesIO(image_bytes))
-    except Exception as e:
-        st.error("❌ Failed to load image.")
-        st.stop()
+        image = Image.open(io.BytesIO(st.session_state.image_bytes))
+        st.image(image, caption="📸 Snapshot", use_column_width=True)
 
-    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.")
+            st.stop()
 
-    # Size check
-    if len(image_bytes) > 5 * 1024 * 1024:
-        st.error("❌ Image too large (>5MB). Please upload a smaller image.")
-        st.stop()
+        with st.spinner("🔍 Extracting weight..."):
+            weight, confidence = extract_weight_from_image(image)
 
-    # OCR Extraction
-    with st.spinner("🔍 Extracting weight..."):
-        weight, confidence = extract_weight_from_image(image)
+        st.write(f"🛠️ DEBUG: weight = {weight}, confidence = {confidence}")
 
-    st.write(f"🛠️ DEBUG: weight = {weight}, confidence = {confidence}")
+        if not weight or confidence < 80:
+            st.error(f"⚠️ OCR confidence too low ({int(confidence)}%). Please try again.")
+        else:
+            st.success(f"✅ Detected Weight: {weight} g (Confidence: {int(confidence)}%)")
 
-    if not weight or confidence < 80:
-        st.error(f"⚠️ OCR confidence too low ({int(confidence)}%). Please try again.")
-    else:
-        st.success(f"✅ Detected Weight: {weight} g (Confidence: {int(confidence)}%)")
+            device_id = "BAL-001"
+            image_url = ""
 
-        # Generate Salesforce URL
-        device_id = "BAL-001"
-        image_url = ""  # You can upload to S3 or Salesforce Files if needed
+            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={urllib.parse.quote(str(weight))}"
-            f"&DeviceID={urllib.parse.quote(device_id)}&ImageURL={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)
 
-        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())
 
-    # Retake or upload another
-    if st.button("🔁 Retake / Upload Another"):
-        st.session_state.image_data = None
-        st.session_state.camera_key = str(uuid.uuid4())
+    except Exception as e:
+        st.error("❌ Failed to load or process image.")
+        st.exception(e)