deepfake_detector / pages /user_guide.py
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Update pages/user_guide.py
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import gradio as gr
def layout():
with gr.Blocks() as user_guide:
gr.Markdown("## 🧭 User Guide")
gr.Markdown("Follow these simple steps to use the Deepfake Detection System:")
with gr.Group():
gr.Markdown("### πŸ” 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("### πŸ“· 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("### 🧠 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:
- βœ… **Real Image** – if the image appears authentic, or
- ⚠️ **Fake Image** – if the model detects manipulation.
""")
with gr.Group():
gr.Markdown("### πŸ”“ Step 4: Log Out")
gr.Markdown("When you're done, just click the **Logout** button to securely end your session.")
return user_guide