Spaces:
Running
Running
Update app.py
Browse files
app.py
CHANGED
|
@@ -4,33 +4,24 @@ import torch.nn as nn
|
|
| 4 |
from torchvision import transforms, models
|
| 5 |
from PIL import Image
|
| 6 |
|
| 7 |
-
|
| 8 |
-
# 1. SETUP & MODEL LOADING (Required for deployment)
|
| 9 |
-
# ==========================================
|
| 10 |
-
DEVICE = torch.device("cpu") # Spaces use CPU by default
|
| 11 |
IMG_SIZE = 224
|
| 12 |
classes = ['fake', 'real']
|
| 13 |
|
| 14 |
-
# Rebuild the model architecture
|
| 15 |
model = models.efficientnet_b0(weights=None)
|
| 16 |
in_f = model.classifier[1].in_features
|
| 17 |
model.classifier = nn.Linear(in_f, 2)
|
| 18 |
|
| 19 |
-
# Load the trained weights
|
| 20 |
model.load_state_dict(torch.load("deepfake_detector.pth", map_location=DEVICE))
|
| 21 |
model.to(DEVICE)
|
| 22 |
model.eval()
|
| 23 |
|
| 24 |
-
# Define Image Transformations
|
| 25 |
clean_tf = transforms.Compose([
|
| 26 |
transforms.Resize((IMG_SIZE, IMG_SIZE)),
|
| 27 |
transforms.ToTensor(),
|
| 28 |
transforms.Normalize([0.485, 0.456, 0.406], [0.229, 0.224, 0.225])
|
| 29 |
])
|
| 30 |
|
| 31 |
-
# ==========================================
|
| 32 |
-
# 2. PREDICTION LOGIC
|
| 33 |
-
# ==========================================
|
| 34 |
def enhanced_predict(img):
|
| 35 |
if img is None:
|
| 36 |
return None, "<div class='warning-box'>SYSTEM ALERT: Please upload or capture an image for analysis.</div>"
|
|
@@ -48,7 +39,6 @@ def enhanced_predict(img):
|
|
| 48 |
|
| 49 |
confidences = {classes[0]: fake_prob, classes[1]: real_prob}
|
| 50 |
|
| 51 |
-
# Dynamic styling for the output message
|
| 52 |
max_conf = max(fake_prob, real_prob) * 100
|
| 53 |
if max_conf < 60.0:
|
| 54 |
warning_msg = f"<div class='warning-box'>[WARNING] Low Confidence ({max_conf:.1f}%). Network anomaly detected. Manual review advised.</div>"
|
|
@@ -57,14 +47,7 @@ def enhanced_predict(img):
|
|
| 57 |
|
| 58 |
return confidences, warning_msg
|
| 59 |
|
| 60 |
-
# ==========================================
|
| 61 |
-
# 3. PROFESSIONAL UI
|
| 62 |
-
# ==========================================
|
| 63 |
custom_css = """
|
| 64 |
-
/* -------------------------------------
|
| 65 |
-
FORCE GLOBAL DARK THEME VARIABLES
|
| 66 |
-
(This kills the bright white boxes!)
|
| 67 |
-
-------------------------------------- */
|
| 68 |
:root, .gradio-container, .dark {
|
| 69 |
--background-fill-primary: #0b0f19 !important;
|
| 70 |
--background-fill-secondary: #0f172a !important;
|
|
@@ -81,9 +64,6 @@ body {
|
|
| 81 |
font-family: 'Inter', sans-serif !important;
|
| 82 |
}
|
| 83 |
|
| 84 |
-
/* -------------------------------------
|
| 85 |
-
HEADER STYLING
|
| 86 |
-
-------------------------------------- */
|
| 87 |
.header-box {
|
| 88 |
background: rgba(15, 23, 42, 0.7);
|
| 89 |
backdrop-filter: blur(12px);
|
|
@@ -95,6 +75,7 @@ body {
|
|
| 95 |
border-top: 3px solid #38bdf8;
|
| 96 |
box-shadow: 0 10px 30px -10px rgba(56, 189, 248, 0.3);
|
| 97 |
}
|
|
|
|
| 98 |
.header-box h1 {
|
| 99 |
margin-bottom: 0.5rem;
|
| 100 |
color: #f8fafc !important;
|
|
@@ -104,15 +85,13 @@ body {
|
|
| 104 |
text-transform: uppercase;
|
| 105 |
text-shadow: 0 0 15px rgba(56,189,248,0.5);
|
| 106 |
}
|
|
|
|
| 107 |
.header-box p {
|
| 108 |
font-size: 1.1rem;
|
| 109 |
color: #94a3b8 !important;
|
| 110 |
font-weight: 400;
|
| 111 |
}
|
| 112 |
|
| 113 |
-
/* -------------------------------------
|
| 114 |
-
HIGH-VISIBILITY NAVIGATION TABS (PILL BUTTONS)
|
| 115 |
-
-------------------------------------- */
|
| 116 |
.tabs > .tab-nav {
|
| 117 |
border: none !important;
|
| 118 |
display: flex !important;
|
|
@@ -121,6 +100,7 @@ body {
|
|
| 121 |
margin-bottom: 2.5rem !important;
|
| 122 |
background: transparent !important;
|
| 123 |
}
|
|
|
|
| 124 |
.tabs > .tab-nav > button {
|
| 125 |
background: linear-gradient(145deg, #1e293b, #0f172a) !important;
|
| 126 |
border: 1px solid rgba(56, 189, 248, 0.4) !important;
|
|
@@ -133,12 +113,14 @@ body {
|
|
| 133 |
box-shadow: 0 4px 10px rgba(0,0,0,0.5) !important;
|
| 134 |
transition: all 0.3s ease !important;
|
| 135 |
}
|
|
|
|
| 136 |
.tabs > .tab-nav > button:hover {
|
| 137 |
color: #38bdf8 !important;
|
| 138 |
border-color: #38bdf8 !important;
|
| 139 |
box-shadow: 0 0 15px rgba(56,189,248,0.3) !important;
|
| 140 |
transform: translateY(-2px);
|
| 141 |
}
|
|
|
|
| 142 |
.tabs > .tab-nav > button.selected {
|
| 143 |
background: linear-gradient(135deg, #0284c7 0%, #38bdf8 100%) !important;
|
| 144 |
color: #ffffff !important;
|
|
@@ -148,9 +130,6 @@ body {
|
|
| 148 |
transform: scale(1.05);
|
| 149 |
}
|
| 150 |
|
| 151 |
-
/* -------------------------------------
|
| 152 |
-
TEXT & HEADER OVERRIDES FOR TAB 2
|
| 153 |
-
-------------------------------------- */
|
| 154 |
.gradio-container h3 {
|
| 155 |
color: #38bdf8 !important;
|
| 156 |
font-family: 'Courier New', monospace !important;
|
|
@@ -160,13 +139,11 @@ body {
|
|
| 160 |
padding-bottom: 8px;
|
| 161 |
margin-bottom: 15px;
|
| 162 |
}
|
|
|
|
| 163 |
.gradio-container span.text-gray-500 {
|
| 164 |
color: #94a3b8 !important;
|
| 165 |
}
|
| 166 |
|
| 167 |
-
/* -------------------------------------
|
| 168 |
-
INFO CARDS (AWARENESS TAB)
|
| 169 |
-
-------------------------------------- */
|
| 170 |
.info-card {
|
| 171 |
background: rgba(30, 41, 59, 0.6);
|
| 172 |
padding: 1.5rem;
|
|
@@ -179,20 +156,19 @@ body {
|
|
| 179 |
border-bottom: 1px solid rgba(255,255,255,0.05);
|
| 180 |
transition: transform 0.3s ease, box-shadow 0.3s ease;
|
| 181 |
}
|
|
|
|
| 182 |
.info-card:hover {
|
| 183 |
transform: translateY(-5px);
|
| 184 |
box-shadow: 0 10px 20px rgba(0, 0, 0, 0.5);
|
| 185 |
background: rgba(30, 41, 59, 0.9);
|
| 186 |
}
|
|
|
|
| 187 |
.info-card p, .info-card li {
|
| 188 |
color: #f1f5f9 !important;
|
| 189 |
font-size: 1.05rem;
|
| 190 |
line-height: 1.6;
|
| 191 |
}
|
| 192 |
|
| 193 |
-
/* -------------------------------------
|
| 194 |
-
ANIMATED PRIMARY BUTTON
|
| 195 |
-
-------------------------------------- */
|
| 196 |
button.primary {
|
| 197 |
background: linear-gradient(135deg, #2563eb 0%, #3b82f6 100%) !important;
|
| 198 |
border: 1px solid #60a5fa !important;
|
|
@@ -205,19 +181,16 @@ button.primary {
|
|
| 205 |
transition: all 0.3s ease !important;
|
| 206 |
margin-top: 10px !important;
|
| 207 |
}
|
|
|
|
| 208 |
button.primary:hover {
|
| 209 |
transform: translateY(-2px) !important;
|
| 210 |
box-shadow: 0 8px 25px rgba(37, 99, 235, 0.7) !important;
|
| 211 |
background: linear-gradient(135deg, #3b82f6 0%, #60a5fa 100%) !important;
|
| 212 |
}
|
| 213 |
|
| 214 |
-
/* Status Boxes */
|
| 215 |
.warning-box { border-left: 4px solid #f59e0b; background: rgba(245, 158, 11, 0.15); padding: 1rem; border-radius: 6px; color: #fcd34d !important; font-weight: 600; font-size: 1.1em;}
|
| 216 |
.success-box { border-left: 4px solid #10b981; background: rgba(16, 185, 129, 0.15); padding: 1rem; border-radius: 6px; color: #6ee7b7 !important; font-weight: 600; font-size: 1.1em;}
|
| 217 |
|
| 218 |
-
/* -------------------------------------
|
| 219 |
-
WEBCAM & INTERNAL BUTTON FIX
|
| 220 |
-
-------------------------------------- */
|
| 221 |
.gradio-container button[aria-label="Capture"],
|
| 222 |
.gradio-container button[aria-label="Clear"],
|
| 223 |
.gradio-container .icon-button,
|
|
@@ -244,9 +217,8 @@ button.primary:hover {
|
|
| 244 |
}
|
| 245 |
"""
|
| 246 |
|
| 247 |
-
with gr.Blocks(
|
| 248 |
|
| 249 |
-
# --- GLOBAL HEADER ---
|
| 250 |
gr.HTML("""
|
| 251 |
<div class="header-box">
|
| 252 |
<h1>TrueFace AI: Deepfake Detector</h1>
|
|
@@ -254,15 +226,10 @@ with gr.Blocks(theme=gr.themes.Base(), css=custom_css) as demo:
|
|
| 254 |
</div>
|
| 255 |
""")
|
| 256 |
|
| 257 |
-
# ==========================================
|
| 258 |
-
# TAB 1: AWARENESS & EDUCATION
|
| 259 |
-
# ==========================================
|
| 260 |
with gr.Tab("Awareness & Education"):
|
| 261 |
with gr.Row():
|
| 262 |
with gr.Column(scale=1):
|
| 263 |
-
|
| 264 |
-
gr.Image("project.jpeg",
|
| 265 |
-
show_label=False, show_download_button=False, interactive=False)
|
| 266 |
gr.Markdown("<center><i style='color:#94a3b8;'>Conceptual visualization of biometric facial mapping.</i></center>")
|
| 267 |
|
| 268 |
with gr.Column(scale=1):
|
|
@@ -287,9 +254,6 @@ with gr.Blocks(theme=gr.themes.Base(), css=custom_css) as demo:
|
|
| 287 |
</div>
|
| 288 |
""")
|
| 289 |
|
| 290 |
-
# ==========================================
|
| 291 |
-
# TAB 2: THE DETECTOR PROJECT
|
| 292 |
-
# ==========================================
|
| 293 |
with gr.Tab("Deepfake Detector"):
|
| 294 |
with gr.Row():
|
| 295 |
with gr.Column(scale=1):
|
|
@@ -304,5 +268,4 @@ with gr.Blocks(theme=gr.themes.Base(), css=custom_css) as demo:
|
|
| 304 |
|
| 305 |
analyze_btn.click(fn=enhanced_predict, inputs=input_image, outputs=[output_label, output_warning])
|
| 306 |
|
| 307 |
-
|
| 308 |
-
demo.launch()
|
|
|
|
| 4 |
from torchvision import transforms, models
|
| 5 |
from PIL import Image
|
| 6 |
|
| 7 |
+
DEVICE = torch.device("cpu")
|
|
|
|
|
|
|
|
|
|
| 8 |
IMG_SIZE = 224
|
| 9 |
classes = ['fake', 'real']
|
| 10 |
|
|
|
|
| 11 |
model = models.efficientnet_b0(weights=None)
|
| 12 |
in_f = model.classifier[1].in_features
|
| 13 |
model.classifier = nn.Linear(in_f, 2)
|
| 14 |
|
|
|
|
| 15 |
model.load_state_dict(torch.load("deepfake_detector.pth", map_location=DEVICE))
|
| 16 |
model.to(DEVICE)
|
| 17 |
model.eval()
|
| 18 |
|
|
|
|
| 19 |
clean_tf = transforms.Compose([
|
| 20 |
transforms.Resize((IMG_SIZE, IMG_SIZE)),
|
| 21 |
transforms.ToTensor(),
|
| 22 |
transforms.Normalize([0.485, 0.456, 0.406], [0.229, 0.224, 0.225])
|
| 23 |
])
|
| 24 |
|
|
|
|
|
|
|
|
|
|
| 25 |
def enhanced_predict(img):
|
| 26 |
if img is None:
|
| 27 |
return None, "<div class='warning-box'>SYSTEM ALERT: Please upload or capture an image for analysis.</div>"
|
|
|
|
| 39 |
|
| 40 |
confidences = {classes[0]: fake_prob, classes[1]: real_prob}
|
| 41 |
|
|
|
|
| 42 |
max_conf = max(fake_prob, real_prob) * 100
|
| 43 |
if max_conf < 60.0:
|
| 44 |
warning_msg = f"<div class='warning-box'>[WARNING] Low Confidence ({max_conf:.1f}%). Network anomaly detected. Manual review advised.</div>"
|
|
|
|
| 47 |
|
| 48 |
return confidences, warning_msg
|
| 49 |
|
|
|
|
|
|
|
|
|
|
| 50 |
custom_css = """
|
|
|
|
|
|
|
|
|
|
|
|
|
| 51 |
:root, .gradio-container, .dark {
|
| 52 |
--background-fill-primary: #0b0f19 !important;
|
| 53 |
--background-fill-secondary: #0f172a !important;
|
|
|
|
| 64 |
font-family: 'Inter', sans-serif !important;
|
| 65 |
}
|
| 66 |
|
|
|
|
|
|
|
|
|
|
| 67 |
.header-box {
|
| 68 |
background: rgba(15, 23, 42, 0.7);
|
| 69 |
backdrop-filter: blur(12px);
|
|
|
|
| 75 |
border-top: 3px solid #38bdf8;
|
| 76 |
box-shadow: 0 10px 30px -10px rgba(56, 189, 248, 0.3);
|
| 77 |
}
|
| 78 |
+
|
| 79 |
.header-box h1 {
|
| 80 |
margin-bottom: 0.5rem;
|
| 81 |
color: #f8fafc !important;
|
|
|
|
| 85 |
text-transform: uppercase;
|
| 86 |
text-shadow: 0 0 15px rgba(56,189,248,0.5);
|
| 87 |
}
|
| 88 |
+
|
| 89 |
.header-box p {
|
| 90 |
font-size: 1.1rem;
|
| 91 |
color: #94a3b8 !important;
|
| 92 |
font-weight: 400;
|
| 93 |
}
|
| 94 |
|
|
|
|
|
|
|
|
|
|
| 95 |
.tabs > .tab-nav {
|
| 96 |
border: none !important;
|
| 97 |
display: flex !important;
|
|
|
|
| 100 |
margin-bottom: 2.5rem !important;
|
| 101 |
background: transparent !important;
|
| 102 |
}
|
| 103 |
+
|
| 104 |
.tabs > .tab-nav > button {
|
| 105 |
background: linear-gradient(145deg, #1e293b, #0f172a) !important;
|
| 106 |
border: 1px solid rgba(56, 189, 248, 0.4) !important;
|
|
|
|
| 113 |
box-shadow: 0 4px 10px rgba(0,0,0,0.5) !important;
|
| 114 |
transition: all 0.3s ease !important;
|
| 115 |
}
|
| 116 |
+
|
| 117 |
.tabs > .tab-nav > button:hover {
|
| 118 |
color: #38bdf8 !important;
|
| 119 |
border-color: #38bdf8 !important;
|
| 120 |
box-shadow: 0 0 15px rgba(56,189,248,0.3) !important;
|
| 121 |
transform: translateY(-2px);
|
| 122 |
}
|
| 123 |
+
|
| 124 |
.tabs > .tab-nav > button.selected {
|
| 125 |
background: linear-gradient(135deg, #0284c7 0%, #38bdf8 100%) !important;
|
| 126 |
color: #ffffff !important;
|
|
|
|
| 130 |
transform: scale(1.05);
|
| 131 |
}
|
| 132 |
|
|
|
|
|
|
|
|
|
|
| 133 |
.gradio-container h3 {
|
| 134 |
color: #38bdf8 !important;
|
| 135 |
font-family: 'Courier New', monospace !important;
|
|
|
|
| 139 |
padding-bottom: 8px;
|
| 140 |
margin-bottom: 15px;
|
| 141 |
}
|
| 142 |
+
|
| 143 |
.gradio-container span.text-gray-500 {
|
| 144 |
color: #94a3b8 !important;
|
| 145 |
}
|
| 146 |
|
|
|
|
|
|
|
|
|
|
| 147 |
.info-card {
|
| 148 |
background: rgba(30, 41, 59, 0.6);
|
| 149 |
padding: 1.5rem;
|
|
|
|
| 156 |
border-bottom: 1px solid rgba(255,255,255,0.05);
|
| 157 |
transition: transform 0.3s ease, box-shadow 0.3s ease;
|
| 158 |
}
|
| 159 |
+
|
| 160 |
.info-card:hover {
|
| 161 |
transform: translateY(-5px);
|
| 162 |
box-shadow: 0 10px 20px rgba(0, 0, 0, 0.5);
|
| 163 |
background: rgba(30, 41, 59, 0.9);
|
| 164 |
}
|
| 165 |
+
|
| 166 |
.info-card p, .info-card li {
|
| 167 |
color: #f1f5f9 !important;
|
| 168 |
font-size: 1.05rem;
|
| 169 |
line-height: 1.6;
|
| 170 |
}
|
| 171 |
|
|
|
|
|
|
|
|
|
|
| 172 |
button.primary {
|
| 173 |
background: linear-gradient(135deg, #2563eb 0%, #3b82f6 100%) !important;
|
| 174 |
border: 1px solid #60a5fa !important;
|
|
|
|
| 181 |
transition: all 0.3s ease !important;
|
| 182 |
margin-top: 10px !important;
|
| 183 |
}
|
| 184 |
+
|
| 185 |
button.primary:hover {
|
| 186 |
transform: translateY(-2px) !important;
|
| 187 |
box-shadow: 0 8px 25px rgba(37, 99, 235, 0.7) !important;
|
| 188 |
background: linear-gradient(135deg, #3b82f6 0%, #60a5fa 100%) !important;
|
| 189 |
}
|
| 190 |
|
|
|
|
| 191 |
.warning-box { border-left: 4px solid #f59e0b; background: rgba(245, 158, 11, 0.15); padding: 1rem; border-radius: 6px; color: #fcd34d !important; font-weight: 600; font-size: 1.1em;}
|
| 192 |
.success-box { border-left: 4px solid #10b981; background: rgba(16, 185, 129, 0.15); padding: 1rem; border-radius: 6px; color: #6ee7b7 !important; font-weight: 600; font-size: 1.1em;}
|
| 193 |
|
|
|
|
|
|
|
|
|
|
| 194 |
.gradio-container button[aria-label="Capture"],
|
| 195 |
.gradio-container button[aria-label="Clear"],
|
| 196 |
.gradio-container .icon-button,
|
|
|
|
| 217 |
}
|
| 218 |
"""
|
| 219 |
|
| 220 |
+
with gr.Blocks() as demo:
|
| 221 |
|
|
|
|
| 222 |
gr.HTML("""
|
| 223 |
<div class="header-box">
|
| 224 |
<h1>TrueFace AI: Deepfake Detector</h1>
|
|
|
|
| 226 |
</div>
|
| 227 |
""")
|
| 228 |
|
|
|
|
|
|
|
|
|
|
| 229 |
with gr.Tab("Awareness & Education"):
|
| 230 |
with gr.Row():
|
| 231 |
with gr.Column(scale=1):
|
| 232 |
+
gr.Image("project.jpeg", show_label=False, interactive=False)
|
|
|
|
|
|
|
| 233 |
gr.Markdown("<center><i style='color:#94a3b8;'>Conceptual visualization of biometric facial mapping.</i></center>")
|
| 234 |
|
| 235 |
with gr.Column(scale=1):
|
|
|
|
| 254 |
</div>
|
| 255 |
""")
|
| 256 |
|
|
|
|
|
|
|
|
|
|
| 257 |
with gr.Tab("Deepfake Detector"):
|
| 258 |
with gr.Row():
|
| 259 |
with gr.Column(scale=1):
|
|
|
|
| 268 |
|
| 269 |
analyze_btn.click(fn=enhanced_predict, inputs=input_image, outputs=[output_label, output_warning])
|
| 270 |
|
| 271 |
+
demo.launch(theme=gr.themes.Base(), css=custom_css)
|
|
|