Update app.py

app.py

@@ -5,13 +5,12 @@ import io
 import base64
 import boto3
 from PIL import Image
-from streamlit_tags import st_tags
 import firebase_admin
 from firebase_admin import credentials, auth
 
 # Load AWS credentials using correct HF Secrets
-AWS_ACCESS_KEY = os.getenv("AWS_ACCESS_KEY_ID")
-AWS_SECRET_KEY = os.getenv("AWS_SECRET_ACCESS_KEY")
+AWS_ACCESS_KEY = os.getenv("AWS_ACCESS_KEY")
+AWS_SECRET_KEY = os.getenv("AWS_SECRET_KEY")
 AWS_REGION = os.getenv("AWS_REGION", "us-east-1")
 S3_BUCKET_NAME = os.getenv("S3_BUCKET_NAME", "food-image-crowdsourcing")
 DYNAMODB_TABLE = os.getenv("DYNAMODB_TABLE", "image_metadata")
@@ -77,6 +76,15 @@ if "user_id" not in st.session_state:
 st.title("🍽️ Food Image Review & Annotation")
 col1, col2, col3 = st.columns([1, 1, 1])
 
+# Compliance & Disclaimer Section
+st.markdown("### **Terms & Conditions**")
+st.write(
+    "By uploading an image, you agree to transfer full copyright to the research team for AI training purposes."
+    " You are responsible for ensuring you own the image and it does not violate any copyright laws."
+    " We do not guarantee when tokens will be redeemable. Keep track of your user ID."
+)
+st.checkbox("I agree to the terms and conditions", key="terms_accepted")
+
 # Upload Image
 uploaded_file = st.file_uploader("Upload an image of your food", type=["jpg", "png", "jpeg"])
 if uploaded_file:
@@ -104,26 +112,27 @@ if "original_image" in st.session_state:
         st.subheader("🖼️ Processed Image")
         st.image(processed_img, caption=f"Processed ({processed_img.width}x{processed_img.height} pixels)", use_container_width=True)
 
-    # ✏️ Panel 3: Food Annotations with Intellisense
+    # ✏️ Panel 3: Food Annotations with Structured Input
     with col3:
         st.subheader("📝 Add Annotations")
-        
-        # Expanded food suggestions
-        suggested_foods = [
-            "Pizza", "Pasta", "Tacos", "Sushi", "Ramen", "Kimchi", "Bratwurst", "Jambalaya", 
-            "Chicken", "Rice", "Steak", "Bread", "Cheese", "Salmon", "Avocado", "Eggs", 
-            "Carrots", "Tomatoes", "Cucumber", "Yogurt", "Peanuts", "Lettuce", "Curry", "Dumplings",
-            "Pho", "Lasagna", "Paella", "Peking Duck", "Borscht", "Pierogi", "Schnitzel", "Bulgogi"
-        ]
-
-        # User selects food items from suggestions
-        food_items = st_tags(
-            label="Enter food items",
-            text="Add items...",
-            value=[],
-            suggestions=suggested_foods,
-            maxtags=10,
-        )
+        food_items = []
+
+        # User enters food items one at a time
+        new_food = st.text_input("Enter food item")
+        if st.button("+ Add Food Item"):
+            if new_food:
+                food_items.append({"name": new_food, "ingredients": [], "weight": None})
+
+        # Display added food items
+        for idx, food in enumerate(food_items):
+            st.write(f"{idx+1}. {food['name']}")
+            sub_ingredient = st.text_input(f"Add ingredient for {food['name']}", key=f"sub_{idx}")
+            if st.button(f"+ Add Ingredient to {food['name']}", key=f"btn_{idx}"):
+                food["ingredients"].append(sub_ingredient)
+
+            weight = st.text_input(f"Enter weight for {food['name']} (grams)", key=f"wt_{idx}")
+            if weight:
+                food["weight"] = weight
 
         if st.button("Save Annotations"):
             metadata_table.update_item(
@@ -134,7 +143,7 @@ if "original_image" in st.session_state:
                     ":a": food_items,
                     ":p": "processed",
                     ":s": f"s3://{S3_BUCKET_NAME}/raw-uploads/{uploaded_file.name}",
-                    ":t": 1 if food_items else 0
+                    ":t": len(food_items)
                 },
             )
             st.success("✅ Annotations saved successfully!")