Update dashboard.py

dashboard.py

@@ -1,4 +1,4 @@
-import gradio as gr
+import gradio
 import re
 import bcrypt
 import numpy as np
@@ -13,7 +13,6 @@ import json
 
 from pages import about, community, user_guide
 
-# --- Config ---
 SUPABASE_URL = "https://fpbuhzbdtzwomjwytqul.supabase.co"
 SUPABASE_API_KEY = "eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpc3MiOiJzdXBhYmFzZSIsInJlZiI6ImZwYnVoemJkdHp3b21qd3l0cXVsIiwicm9sZSI6ImFub24iLCJpYXQiOjE3NTE5NDk3NzYsImV4cCI6MjA2NzUyNTc3Nn0.oAa2TNNPQMyOGk63AOMZ7XKcwYvy5m-xoSWyvMZd6FY"
 SUPABASE_TABLE = "user_details"
@@ -24,14 +23,12 @@ headers = {
     "Content-Type": "application/json"
 }
 
-# --- Setup ---
 os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'
 warnings.filterwarnings("ignore")
 np.seterr(all='ignore')
 
 MODEL_PATH = "model_15_64.h5"
 if not os.path.exists(MODEL_PATH):
-    print(f"Model file '{MODEL_PATH}' not found. Creating a dummy model for testing.")
     dummy_model = tf.keras.Sequential([
         tf.keras.layers.Input(shape=(128, 128, 3)),
         tf.keras.layers.Flatten(),
@@ -45,7 +42,6 @@ with warnings.catch_warnings():
     warnings.simplefilter("ignore")
     deepfake_model = tf.keras.models.load_model(MODEL_PATH)
 
-# --- Helpers ---
 def is_valid_email(email): return re.match(r"[^@]+@[^@]+\.[^@]+", email)
 def is_valid_phone(phone): return re.match(r"^[0-9]{10}$", phone)
 
@@ -94,7 +90,6 @@ def login_user(email, password):
         return bcrypt.checkpw(password.encode(), stored_hash.encode())
     return False
 
-# --- UI ---
 HOME_TAB_NAME = "🏠 Home"
 LOGIN_TAB_NAME = "🔐 Login"
 DETECT_TAB_NAME = "🧪 Detect Deepfake"
@@ -106,7 +101,7 @@ with gr.Blocks(theme=gr.themes.Soft(), title="VerifiAI - Deepfake Detector") as
     is_logged_in = gr.State(False)
     selected_tab = gr.State(HOME_TAB_NAME)
 
-    with gr.Tabs() as tabs:
+    with gr.Tabs(elem_id="tabs") as tabs:
         with gr.Tab(HOME_TAB_NAME, visible=True) as home_tab:
             with gr.Row():
                 with gr.Column():
@@ -206,7 +201,9 @@ with gr.Blocks(theme=gr.themes.Soft(), title="VerifiAI - Deepfake Detector") as
     predict_btn.click(fn=predict_image, inputs=image_input, outputs=result)
 
     demo.load(lambda: (False, HOME_TAB_NAME), None, [is_logged_in, selected_tab])
-    selected_tab.change(fn=None, inputs=selected_tab, outputs=None, _js="(tab) => window.gradioApp().getElementById('tabs').querySelector(`[aria-label='${tab}']`).click()")
+
+    # ✅ Replaces buggy _js method
+    selected_tab.change(fn=lambda tab: gr.Tabs.update(selected=tab), inputs=selected_tab, outputs=tabs)
 
 if __name__ == "__main__":
     demo.launch()