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Update dashboard.py
Browse files- dashboard.py +55 -27
dashboard.py
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@@ -14,7 +14,7 @@ from pages import about, community, user_guide
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# --- Config ---
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SUPABASE_URL = "https://fpbuhzbdtzwomjwytqul.supabase.co"
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SUPABASE_API_KEY = "
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SUPABASE_TABLE = "user_details"
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headers = {
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@@ -92,41 +92,62 @@ def login_user(email, password):
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with gr.Blocks(theme=gr.themes.Soft(), title="VerifiAI - Deepfake Detector") as demo:
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is_logged_in = gr.State(False)
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with gr.Tabs(selected=HOME_TAB_NAME) as tabs:
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# --- Home Tab (Intro Page) ---
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with gr.Tab(HOME_TAB_NAME) as home_tab:
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with gr.Row():
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with gr.Column():
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gr.Markdown(""
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""
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with gr.Row():
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gr.Markdown("## Deepfake Detector")
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logout_btn = gr.Button("Logout")
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with gr.Row():
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image_input = gr.Image(type="pil", label="Upload Image"
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with gr.Column(
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result = gr.Textbox(label="Prediction Result", interactive=False)
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predict_btn = gr.Button("Predict", variant="primary")
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with gr.Tab(
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with gr.Tab(
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# --- CSS
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gr.HTML("""
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<style>
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#home-markdown {
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@@ -140,11 +161,18 @@ with gr.Blocks(theme=gr.themes.Soft(), title="VerifiAI - Deepfake Detector") as
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""")
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# --- Callbacks ---
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def handle_logout():
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return False, "", ""
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predict_btn.click(fn=predict_image, inputs=image_input, outputs=result)
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demo.load(fn=lambda: False, outputs=is_logged_in)
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if __name__ == "__main__":
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# --- Config ---
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SUPABASE_URL = "https://fpbuhzbdtzwomjwytqul.supabase.co"
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SUPABASE_API_KEY = "eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpc3MiOiJzdXBhYmFzZSIsInJlZiI6ImZwYnVoemJkdHp3b21qd3l0cXVsIiwicm9sZSI6ImFub24iLCJpYXQiOjE3NTE5NDk3NzYsImV4cCI6MjA2NzUyNTc3Nn0.oAa2TNNPQMyOGk63AOMZ7XKcwYvy5m-xoSWyvMZd6FY"
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SUPABASE_TABLE = "user_details"
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headers = {
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with gr.Blocks(theme=gr.themes.Soft(), title="VerifiAI - Deepfake Detector") as demo:
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is_logged_in = gr.State(False)
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HOME_TAB = "π Home"
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LOGIN_TAB = "π Login"
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DETECT_TAB = "π§ͺ Detect Deepfake"
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ABOUT_TAB = "βΉοΈ About"
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COMMUNITY_TAB = "π Community"
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GUIDE_TAB = "π User Guide"
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with gr.Tabs(selected=HOME_TAB) as tabs:
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# --- Home Tab ---
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with gr.Tab(HOME_TAB):
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gr.Markdown("""
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<div class="home-content">
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<h1>ποΈβπ¨οΈ Welcome to VerifiAI</h1>
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<p>Your trusted assistant for detecting deepfakes in images using AI.</p>
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<p>π Upload images, analyze authenticity, and learn how deepfakes work.</p>
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<p>π Use the tabs above to get started.</p>
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</div>
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""", elem_id="home-markdown")
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# --- Login Tab ---
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with gr.Tab(LOGIN_TAB):
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with gr.Row():
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with gr.Column():
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email_input = gr.Textbox(label="Email", placeholder="Enter your email")
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password_input = gr.Textbox(label="Password", type="password", placeholder="Enter your password")
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login_button = gr.Button("Login", variant="primary")
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login_msg = gr.Textbox(label="Login Status", interactive=False)
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with gr.Row():
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with gr.Column():
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gr.Markdown("### Or Sign Up")
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name = gr.Textbox(label="Name")
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phone = gr.Textbox(label="Phone (10 digits)")
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email_reg = gr.Textbox(label="Email")
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gender = gr.Radio(["Male", "Female", "Other"], label="Gender")
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password_reg = gr.Textbox(label="Password", type="password")
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register_btn = gr.Button("Register")
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register_msg = gr.Textbox(label="Signup Status", interactive=False)
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# --- Detection Tab (only usable when logged in) ---
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with gr.Tab(DETECT_TAB) as detect_tab:
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with gr.Row():
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gr.Markdown("## Deepfake Detector")
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logout_btn = gr.Button("Logout")
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with gr.Row():
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image_input = gr.Image(type="pil", label="Upload Image")
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with gr.Column():
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result = gr.Textbox(label="Prediction Result", interactive=False)
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predict_btn = gr.Button("Predict", variant="primary")
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# --- Static Tabs ---
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with gr.Tab(ABOUT_TAB): about.layout()
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with gr.Tab(COMMUNITY_TAB): community.layout()
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with gr.Tab(GUIDE_TAB): user_guide.layout()
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# --- CSS for center alignment ---
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gr.HTML("""
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<style>
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#home-markdown {
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""")
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# --- Callbacks ---
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def handle_login(email, password):
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success = login_user(email, password)
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return (success, "β
Login successful!" if success else "β Login failed.")
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def handle_logout():
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return False, "", "", ""
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login_button.click(fn=handle_login, inputs=[email_input, password_input], outputs=[is_logged_in, login_msg])
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register_btn.click(fn=register_user, inputs=[name, phone, email_reg, gender, password_reg], outputs=register_msg)
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logout_btn.click(fn=handle_logout, outputs=[is_logged_in, image_input, result, login_msg])
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predict_btn.click(fn=predict_image, inputs=image_input, outputs=result)
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demo.load(fn=lambda: False, outputs=is_logged_in)
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if __name__ == "__main__":
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