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import streamlit as st
import json
import os
import io
import base64
import boto3
import time
from PIL import Image
import firebase_admin
from firebase_admin import credentials, auth, firestore
# π Load Secrets from Hugging Face Secrets
FIREBASE_CONFIG = json.loads(os.getenv("FIREBASE_CONFIG", "{}"))
AWS_ACCESS_KEY = os.getenv("AWS_ACCESS_KEY")
AWS_SECRET_KEY = os.getenv("AWS_SECRET_KEY")
S3_BUCKET_NAME = os.getenv("S3_BUCKET_NAME", "food-image-crowdsourcing")
DYNAMODB_TABLE = os.getenv("DYNAMODB_TABLE", "image_metadata") # β
Corrected Table Name
# β
Initialize Firebase Admin SDK
if FIREBASE_CONFIG:
cred = credentials.Certificate(FIREBASE_CONFIG)
firebase_admin.initialize_app(cred)
else:
st.error("β οΈ Firebase configuration is missing! Please check HF Secrets.")
# β
Initialize AWS Services (S3 & DynamoDB)
s3 = boto3.client(
"s3",
aws_access_key_id=AWS_ACCESS_KEY,
aws_secret_access_key=AWS_SECRET_KEY,
)
dynamodb = boto3.resource(
"dynamodb",
aws_access_key_id=AWS_ACCESS_KEY,
aws_secret_access_key=AWS_SECRET_KEY,
)
metadata_table = dynamodb.Table(DYNAMODB_TABLE) # β
Corrected Table Name
# πΉ Initialize Session State for Tokens
if "tokens" not in st.session_state:
st.session_state.tokens = 0
if "user_email" not in st.session_state:
st.session_state.user_email = None
# πΉ UI - Page Title
st.title("π· Food Crowdsourcing Research App")
st.write("Help our research by uploading food images! Earn tokens for future app use.")
# β
**User Authentication Section**
st.sidebar.header("π User Authentication")
auth_choice = st.sidebar.radio("Select an option", ["Login", "Sign Up", "Logout"])
if auth_choice == "Sign Up":
with st.sidebar.form("signup_form"):
email = st.text_input("Email")
password = st.text_input("Password", type="password")
submit_button = st.form_submit_button("Sign Up")
if submit_button:
try:
user = auth.create_user(email=email, password=password)
st.success(f"β
Account created! Now login with {email}.")
except Exception as e:
st.error(f"β οΈ {str(e)}")
if auth_choice == "Login":
with st.sidebar.form("login_form"):
email = st.text_input("Email")
password = st.text_input("Password", type="password")
submit_button = st.form_submit_button("Login")
if submit_button:
try:
user = auth.get_user_by_email(email)
st.session_state.user_email = email
st.success(f"β
Welcome back, {email}!")
except Exception as e:
st.error(f"β οΈ {str(e)}")
if auth_choice == "Logout":
if st.session_state.user_email:
st.session_state.user_email = None
st.success("β
Logged out successfully!")
# πΉ **Ensure User is Logged In**
if not st.session_state.user_email:
st.warning("β οΈ Please log in to upload images.")
st.stop()
# β
**Image Upload Section**
uploaded_file = st.file_uploader("πΈ Upload a food image", type=["jpg", "png", "jpeg"])
# β
**Terms & 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")
# β
**Process and Upload 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"π 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)
# πΉ Generate Unique File Name
file_name = f"raw-uploads/{st.session_state.user_email}_{int(time.time())}.jpg"
# β
**Upload to S3**
try:
s3.put_object(
Bucket=S3_BUCKET_NAME,
Key=file_name,
Body=img_bytes.getvalue(),
ContentType="image/jpeg",
)
st.success("β
Image uploaded successfully to S3!")
# β
**Store Metadata in DynamoDB**
metadata_table.put_item(
Item={
"user_email": st.session_state.user_email,
"file_name": file_name,
"upload_time": int(time.time()),
}
)
# π **Reward Tokens**
st.session_state.tokens += 1
st.write("π You earned **1 token** for uploading!")
st.success(f"π’ Total tokens: {st.session_state.tokens}")
except Exception as e:
st.error(f"β οΈ Failed to upload image: {str(e)}")
# β
**Future: Annotation for Additional Token**
# If annotation is provided, reward another token
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