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import gradio as gr | |
def layout(): | |
with gr.Blocks() as user_guide: | |
gr.Markdown("## π§ User Guide") | |
gr.Markdown("Follow these simple steps to use the Deepfake Detection System:") | |
with gr.Group(): | |
gr.Markdown("### π Step 1: Register or Log In") | |
gr.Markdown(""" | |
- If you're a new user, click **Sign Up** and provide your Name, Email, Phone, and Password. | |
- Existing users can directly **Log In** using their registered credentials. | |
""") | |
with gr.Group(): | |
gr.Markdown("### π· Step 2: Upload an Image") | |
gr.Markdown(""" | |
- Once logged in, you'll be taken to the **Detection Panel**. | |
- Upload any image you suspect might be fake or tampered with. | |
- Supported formats: JPG, PNG, JPEG. | |
""") | |
with gr.Group(): | |
gr.Markdown("### π§ Step 3: Get Deepfake Detection Results") | |
gr.Markdown(""" | |
- Click the **Predict** button. | |
- The system uses a trained Deep Learning model to analyze the image. | |
- You'll see either: | |
- β **Real Image** β if the image appears authentic, or | |
- β οΈ **Fake Image** β if the model detects manipulation. | |
""") | |
with gr.Group(): | |
gr.Markdown("### π Step 4: Log Out") | |
gr.Markdown("When you're done, just click the **Logout** button to securely end your session.") | |
return user_guide | |