Spaces:
Running
Running
Update app.py
Browse files
app.py
CHANGED
|
@@ -10,12 +10,9 @@ from huggingface_hub import hf_hub_download
|
|
| 10 |
import warnings
|
| 11 |
warnings.filterwarnings('ignore')
|
| 12 |
|
| 13 |
-
|
| 14 |
-
# 1. LOAD MODELS
|
| 15 |
-
# ============================================
|
| 16 |
-
print("Loading YOLOv11 model from Hugging Face Hub...")
|
| 17 |
model_path = hf_hub_download(
|
| 18 |
-
repo_id="SkyGuardAI/drone-detection-yolov11",
|
| 19 |
filename="best.pt"
|
| 20 |
)
|
| 21 |
model = YOLO(model_path)
|
|
@@ -30,9 +27,6 @@ blip_model = BlipForConditionalGeneration.from_pretrained("Salesforce/blip-image
|
|
| 30 |
blip_model.eval()
|
| 31 |
print("BLIP model loaded successfully.")
|
| 32 |
|
| 33 |
-
# ============================================
|
| 34 |
-
# 2. HEATMAP FUNCTIONS
|
| 35 |
-
# ============================================
|
| 36 |
layer_outputs = {}
|
| 37 |
|
| 38 |
def hook_fn(module, input, output):
|
|
@@ -90,9 +84,6 @@ def generate_heatmap(model, image):
|
|
| 90 |
print(f"Heatmap error: {e}")
|
| 91 |
return None
|
| 92 |
|
| 93 |
-
# ============================================
|
| 94 |
-
# 3. DYNAMIC CAPTION (BLIP)
|
| 95 |
-
# ============================================
|
| 96 |
def generate_dynamic_caption(image):
|
| 97 |
try:
|
| 98 |
if isinstance(image, np.ndarray):
|
|
@@ -118,7 +109,6 @@ def generate_dynamic_caption(image):
|
|
| 118 |
# 4. XAI REPORT (ENGLISH)
|
| 119 |
# ============================================
|
| 120 |
def build_xai_report(is_drone, confidence, drone_count, processing_time, image_caption):
|
| 121 |
-
confidence_percent = confidence * 100
|
| 122 |
if is_drone:
|
| 123 |
drone_text = "a drone" if drone_count == 1 else f"{drone_count} drones"
|
| 124 |
if confidence >= 0.8:
|
|
@@ -259,94 +249,19 @@ def drone_detection_pipeline(input_image):
|
|
| 259 |
return blank, blank, error_msg
|
| 260 |
|
| 261 |
# ============================================
|
| 262 |
-
# 6.
|
| 263 |
-
# Dark blue theme | White & Yellow text | No emojis
|
| 264 |
# ============================================
|
| 265 |
-
|
| 266 |
-
|
| 267 |
-
|
| 268 |
-
|
| 269 |
-
|
| 270 |
-
|
| 271 |
-
}
|
| 272 |
-
/* Headings and text */
|
| 273 |
-
h1, h2, h3, .gr-markdown h1, .gr-markdown h2, .gr-markdown h3 {
|
| 274 |
-
color: #ffffff !important;
|
| 275 |
-
font-weight: 500 !important;
|
| 276 |
-
}
|
| 277 |
-
p, label, .gr-form, .gr-box, .gr-markdown p {
|
| 278 |
-
color: #f0f0f0 !important;
|
| 279 |
-
}
|
| 280 |
-
/* Accent text (yellow) */
|
| 281 |
-
.accent-text, .gr-markdown strong {
|
| 282 |
-
color: #ffd966 !important;
|
| 283 |
-
}
|
| 284 |
-
/* Buttons - primary */
|
| 285 |
-
.gr-button-primary {
|
| 286 |
-
background: linear-gradient(90deg, #1e5a8a, #2c7ab1) !important;
|
| 287 |
-
border: none !important;
|
| 288 |
-
color: white !important;
|
| 289 |
-
font-weight: 600 !important;
|
| 290 |
-
border-radius: 8px !important;
|
| 291 |
-
padding: 12px 28px !important;
|
| 292 |
-
font-size: 1rem !important;
|
| 293 |
-
transition: all 0.2s ease !important;
|
| 294 |
-
box-shadow: 0 2px 5px rgba(0,0,0,0.2);
|
| 295 |
-
}
|
| 296 |
-
.gr-button-primary:hover {
|
| 297 |
-
transform: translateY(-2px);
|
| 298 |
-
background: linear-gradient(90deg, #2c7ab1, #3a8fc5) !important;
|
| 299 |
-
box-shadow: 0 5px 15px rgba(0, 120, 200, 0.3);
|
| 300 |
-
}
|
| 301 |
-
/* Tabs styling */
|
| 302 |
-
.gr-tabs .tab-nav button {
|
| 303 |
-
background-color: #0f2b3a !important;
|
| 304 |
-
color: #c0d0e0 !important;
|
| 305 |
-
border-radius: 8px 8px 0 0 !important;
|
| 306 |
-
font-weight: 500 !important;
|
| 307 |
-
padding: 10px 20px !important;
|
| 308 |
-
margin-right: 4px !important;
|
| 309 |
-
}
|
| 310 |
-
.gr-tabs .tab-nav button.selected {
|
| 311 |
-
background-color: #1e5a8a !important;
|
| 312 |
-
color: #ffd966 !important;
|
| 313 |
-
border-bottom: 2px solid #ffd966 !important;
|
| 314 |
-
}
|
| 315 |
-
/* Input and output areas */
|
| 316 |
-
.gr-box, .gr-form, .gr-input, .gr-panel {
|
| 317 |
-
background-color: #0f2b3a !important;
|
| 318 |
-
border: 1px solid #2c7ab1 !important;
|
| 319 |
-
border-radius: 12px !important;
|
| 320 |
-
}
|
| 321 |
-
/* Image containers */
|
| 322 |
-
.gr-image {
|
| 323 |
-
background-color: #0a1928 !important;
|
| 324 |
-
border-radius: 8px;
|
| 325 |
-
}
|
| 326 |
-
/* Footer */
|
| 327 |
-
.footer {
|
| 328 |
-
text-align: center;
|
| 329 |
-
margin-top: 25px;
|
| 330 |
-
font-size: 12px;
|
| 331 |
-
color: #8aaec0 !important;
|
| 332 |
-
border-top: 1px solid #2c7ab1;
|
| 333 |
-
padding-top: 15px;
|
| 334 |
-
}
|
| 335 |
-
"""
|
| 336 |
-
|
| 337 |
-
with gr.Blocks(title="SkyGuard - Drone Detection System", theme=gr.themes.Soft(), css=custom_css) as demo:
|
| 338 |
-
gr.Markdown(
|
| 339 |
-
"""
|
| 340 |
-
<div style="text-align: center; padding: 1rem 0 0.5rem 0;">
|
| 341 |
-
<h1 style="font-weight: 700; letter-spacing: -0.5px; margin-bottom: 0.2rem; color: #ffffff;">SKYGUARD</h1>
|
| 342 |
-
<p style="font-size: 1.1rem; color: #ffd966;">Advanced Drone Detection with Explainable AI</p>
|
| 343 |
-
<p style="font-size: 0.9rem; color: #c0d0e0;">YOLOv11 | XAI Heatmap | BLIP Captioning</p>
|
| 344 |
</div>
|
| 345 |
-
|
| 346 |
-
)
|
| 347 |
|
| 348 |
-
with gr.Row(
|
| 349 |
-
with gr.Column(scale=1
|
| 350 |
input_image = gr.Image(label="Upload Image", type="pil")
|
| 351 |
analyze_btn = gr.Button("Analyze", variant="primary")
|
| 352 |
with gr.Column(scale=2):
|
|
@@ -364,13 +279,11 @@ with gr.Blocks(title="SkyGuard - Drone Detection System", theme=gr.themes.Soft()
|
|
| 364 |
outputs=[output_image, heatmap_image, report_text]
|
| 365 |
)
|
| 366 |
|
| 367 |
-
gr.
|
| 368 |
-
""
|
| 369 |
-
<div class="footer">
|
| 370 |
SkyGuard System | Powered by YOLOv11, Gradio, Hugging Face Spaces
|
| 371 |
</div>
|
| 372 |
-
|
| 373 |
-
)
|
| 374 |
|
| 375 |
# ============================================
|
| 376 |
# 7. RUN APP
|
|
|
|
| 10 |
import warnings
|
| 11 |
warnings.filterwarnings('ignore')
|
| 12 |
|
| 13 |
+
print("Loading YOLOv11 model from Hugging Face Hub...")ا
|
|
|
|
|
|
|
|
|
|
| 14 |
model_path = hf_hub_download(
|
| 15 |
+
repo_id="SkyGuardAI/drone-detection-yolov11",
|
| 16 |
filename="best.pt"
|
| 17 |
)
|
| 18 |
model = YOLO(model_path)
|
|
|
|
| 27 |
blip_model.eval()
|
| 28 |
print("BLIP model loaded successfully.")
|
| 29 |
|
|
|
|
|
|
|
|
|
|
| 30 |
layer_outputs = {}
|
| 31 |
|
| 32 |
def hook_fn(module, input, output):
|
|
|
|
| 84 |
print(f"Heatmap error: {e}")
|
| 85 |
return None
|
| 86 |
|
|
|
|
|
|
|
|
|
|
| 87 |
def generate_dynamic_caption(image):
|
| 88 |
try:
|
| 89 |
if isinstance(image, np.ndarray):
|
|
|
|
| 109 |
# 4. XAI REPORT (ENGLISH)
|
| 110 |
# ============================================
|
| 111 |
def build_xai_report(is_drone, confidence, drone_count, processing_time, image_caption):
|
|
|
|
| 112 |
if is_drone:
|
| 113 |
drone_text = "a drone" if drone_count == 1 else f"{drone_count} drones"
|
| 114 |
if confidence >= 0.8:
|
|
|
|
| 249 |
return blank, blank, error_msg
|
| 250 |
|
| 251 |
# ============================================
|
| 252 |
+
# 6. INTERFACE - MODIFIED: centering title and ensuring tabs visibility
|
|
|
|
| 253 |
# ============================================
|
| 254 |
+
with gr.Blocks(title="SkyGuard - Drone Detection System", theme=gr.themes.Soft()) as demo:
|
| 255 |
+
gr.HTML("""
|
| 256 |
+
<div style="text-align: center; margin-bottom: 20px;">
|
| 257 |
+
<h1 style="color: #1e3a8a; font-weight: 700;">SKYGUARD</h1>
|
| 258 |
+
<p style="color: #facc15; font-size: 1.2rem;">Advanced Drone Detection with Explainable AI</p>
|
| 259 |
+
<p style="color: #4b5563;">YOLOv11 | XAI Heatmap | BLIP Captioning</p>
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 260 |
</div>
|
| 261 |
+
""")
|
|
|
|
| 262 |
|
| 263 |
+
with gr.Row():
|
| 264 |
+
with gr.Column(scale=1):
|
| 265 |
input_image = gr.Image(label="Upload Image", type="pil")
|
| 266 |
analyze_btn = gr.Button("Analyze", variant="primary")
|
| 267 |
with gr.Column(scale=2):
|
|
|
|
| 279 |
outputs=[output_image, heatmap_image, report_text]
|
| 280 |
)
|
| 281 |
|
| 282 |
+
gr.HTML("""
|
| 283 |
+
<div style="text-align: center; margin-top: 30px; font-size: 12px; color: #6c757d; border-top: 1px solid #dee2e6; padding-top: 15px;">
|
|
|
|
| 284 |
SkyGuard System | Powered by YOLOv11, Gradio, Hugging Face Spaces
|
| 285 |
</div>
|
| 286 |
+
""")
|
|
|
|
| 287 |
|
| 288 |
# ============================================
|
| 289 |
# 7. RUN APP
|