Update firebase_credentials.json

firebase_credentials.json

@@ -1,13 +1,105 @@
-{
-  "type": "service_account",
-  "project_id": "binsight-beda0",
-  "private_key_id": "86c2e13649ff195cab006525a8ce7bef4cc4f058",
-  "private_key": "-----BEGIN PRIVATE KEY-----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\nc90EgNm0/XVwiU8ffvVNKvI=\n-----END PRIVATE KEY-----\n",
-  "client_email": "firebase-adminsdk-fbsvc@binsight-beda0.iam.gserviceaccount.com",
-  "client_id": "117807845711034166542",
-  "auth_uri": "https://accounts.google.com/o/oauth2/auth",
-  "token_uri": "https://oauth2.googleapis.com/token",
-  "auth_provider_x509_cert_url": "https://www.googleapis.com/oauth2/v1/certs",
-  "client_x509_cert_url": "https://www.googleapis.com/robot/v1/metadata/x509/firebase-adminsdk-fbsvc%40binsight-beda0.iam.gserviceaccount.com",
-  "universe_domain": "googleapis.com"
-}
+import streamlit as st
+import requests
+import firebase_admin
+from firebase_admin import credentials, db
+from PIL import Image
+import numpy as np
+from geopy.geocoders import Nominatim
+from tensorflow.keras.applications import MobileNetV2
+from tensorflow.keras.applications.mobilenet_v2 import decode_predictions, preprocess_input
+
+# Initialize Firebase (Load credentials from JSON file)
+if not firebase_admin._apps:
+    try:
+        cred = credentials.Certificate("firebase_credentials.json")
+        firebase_admin.initialize_app(cred, {
+            'databaseURL': 'https://binsight-beda0-default-rtdb.asia-southeast1.firebasedatabase.app/'
+        })
+        print("✅ Firebase initialized successfully!")
+    except Exception as e:
+        st.error(f"❌ Firebase initialization failed: {e}")
+
+# Load MobileNetV2 pre-trained model
+mobilenet_model = MobileNetV2(weights="imagenet")
+
+# Function to classify image using MobileNetV2
+def classify_image_with_mobilenet(image):
+    try:
+        img = image.resize((224, 224))
+        img_array = np.array(img)
+        img_array = np.expand_dims(img_array, axis=0)
+        img_array = preprocess_input(img_array)
+        predictions = mobilenet_model.predict(img_array)
+        labels = decode_predictions(predictions, top=5)[0]
+        return {label[1]: float(label[2]) for label in labels}
+    except Exception as e:
+        st.error(f"Error during image classification: {e}")
+        return {}
+
+# Function to get user location
+def get_user_location():
+    st.write("Fetching location, please allow location access in your browser.")
+    geolocator = Nominatim(user_agent="binsight")
+    try:
+        ip_info = requests.get("https://ipinfo.io/json").json()
+        loc = ip_info.get("loc", "").split(",")
+        latitude, longitude = loc[0], loc[1] if len(loc) == 2 else (None, None)
+        if latitude and longitude:
+            address = geolocator.reverse(f"{latitude}, {longitude}").address
+            return latitude, longitude, address
+    except Exception as e:
+        st.error(f"Error retrieving location: {e}")
+    return None, None, None
+
+# User Login
+st.sidebar.header("User Login")
+user_email = st.sidebar.text_input("Enter your email")
+login_button = st.sidebar.button("Login")
+
+if login_button:
+    if user_email:
+        st.session_state["user_email"] = user_email
+        st.sidebar.success(f"Logged in as {user_email}")
+
+if "user_email" not in st.session_state:
+    st.warning("Please log in first.")
+    st.stop()
+
+# Get user location
+latitude, longitude, address = get_user_location()
+if latitude and longitude:
+    st.success(f"Location detected: {address}")
+else:
+    st.warning("Unable to fetch location, please enable location access.")
+    st.stop()
+
+# Streamlit App
+st.title("BinSight: Upload Dustbin Image")
+
+uploaded_file = st.file_uploader("Upload an image of the dustbin", type=["jpg", "jpeg", "png"])
+submit_button = st.button("Analyze and Upload")
+
+if submit_button and uploaded_file:
+    image = Image.open(uploaded_file)
+    st.image(image, caption="Uploaded Image", use_container_width=True)
+
+    classification_results = classify_image_with_mobilenet(image)
+    
+    if classification_results:
+        db_ref = db.reference("dustbins")
+        dustbin_data = {
+            "user_email": st.session_state["user_email"],
+            "latitude": latitude,
+            "longitude": longitude,
+            "address": address,
+            "classification": classification_results,
+            "allocated_truck": None,
+            "status": "Pending"
+        }
+        db_ref.push(dustbin_data)
+        st.success("Dustbin data uploaded successfully!")
+        st.write(f"**Location:** {address}")
+        st.write(f"**Latitude:** {latitude}, **Longitude:** {longitude}")
+    else:
+        st.error("Missing classification details. Cannot upload.")
+