Update app.py

app.py

@@ -1,4 +1,65 @@
 import streamlit as st
+import requests
+import base64
+import io
+import time
+from PIL import Image
+import random
+
+# Initialize session state for tokens
+if "tokens" not in st.session_state:
+    st.session_state.tokens = 0
+
+# Page title
+st.title("📷 Food Crowdsourcing Research App")
+
+st.write("Help our research by uploading food images! Earn tokens for future app use.")
+
+# Upload image
+uploaded_file = st.file_uploader("Upload a food image", type=["jpg", "png", "jpeg"])
+
+# Terms and Conditions
+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")
+
+# Process image
+if uploaded_file and st.session_state.terms_accepted:
+    image = Image.open(uploaded_file)
+    st.image(image, caption="Uploaded Image", use_column_width=True)
+
+    # Show original size
+    st.write(f"Original size: {image.size}")
+    
+    # Convert PNG to JPEG if needed
+    if image.format == "PNG":
+        image = image.convert("RGB")
+    
+    # Resize image to max 1024x1024 px
+    MAX_SIZE = (1024, 1024)
+    image.thumbnail(MAX_SIZE)
+    
+    # Convert image to bytes
+    img_bytes = io.BytesIO()
+    image.save(img_bytes, format="JPEG", quality=80)  # Reduce quality to save space
+    img_bytes.seek(0)
+    
+    # Show resized size
+    st.write(f"New size: {image.size}")
+    
+    # Upload to S3 (Simulated API Call)
+    # response = requests.post("YOUR_BACKEND_API/upload", files={"file": img_bytes.getvalue()})
+    
+    # Token rewards system
+    st.session_state.tokens += 1  # 1 Token for uploading
+    st.write("✅ You earned **1 token** for uploading!")
+    
+    # Future: Add annotation for an extra token
+    # st.session_state.tokens += 1  # If annotation is provided
+    
+    st.success(f"Total tokens: {st.session_state.tokens}")
+
 
-x = st.slider('Select a value')
-st.write(x, 'squared is', x * x)