Spaces:
Runtime error
Runtime error
Update app.py
Browse files
app.py
CHANGED
|
@@ -9,7 +9,6 @@ import tempfile
|
|
| 9 |
# --- 1. SETUP & MODEL LOADING ---
|
| 10 |
MODEL_REPO = "youkii-xr/hieroglyphic-detection"
|
| 11 |
MODEL_FILENAME = "best.pt"
|
| 12 |
-
# Fix for the Ultralytics config warning in containers
|
| 13 |
os.environ["YOLO_CONFIG_DIR"] = "/tmp/Ultralytics"
|
| 14 |
|
| 15 |
try:
|
|
@@ -25,9 +24,8 @@ except Exception as e:
|
|
| 25 |
print(f"Error: {e}")
|
| 26 |
model = None
|
| 27 |
|
| 28 |
-
# --- 2. LOGIC
|
| 29 |
def generate_human_report(detections, counts):
|
| 30 |
-
"""Generates a natural language summary of the findings."""
|
| 31 |
if not detections:
|
| 32 |
return "Rosetta Decoder detects no identifiable Gardiner codes in this image."
|
| 33 |
|
|
@@ -56,17 +54,14 @@ def detect_hieroglyphs(image: Image.Image, conf_threshold: float = 0.25):
|
|
| 56 |
try:
|
| 57 |
results = model.predict(source=image, conf=conf_threshold, iou=0.45, imgsz=640, verbose=False, device='cpu', max_det=300)
|
| 58 |
|
| 59 |
-
# Visual
|
| 60 |
annotated_array = results[0].plot()
|
| 61 |
annotated_image = Image.fromarray(annotated_array[..., ::-1])
|
| 62 |
|
| 63 |
# Save for Download Button
|
| 64 |
-
# We create a temp file so the download button can find it
|
| 65 |
temp_dir = tempfile.gettempdir()
|
| 66 |
save_path = os.path.join(temp_dir, "rosetta_decoded_result.jpg")
|
| 67 |
annotated_image.save(save_path)
|
| 68 |
|
| 69 |
-
# Data
|
| 70 |
detections = []
|
| 71 |
gardiner_counts = {}
|
| 72 |
|
|
@@ -87,72 +82,57 @@ def detect_hieroglyphs(image: Image.Image, conf_threshold: float = 0.25):
|
|
| 87 |
}
|
| 88 |
|
| 89 |
text_report = generate_human_report(detections, gardiner_counts)
|
| 90 |
-
|
| 91 |
-
# Return: Image, JSON, Text, FilePath (for download)
|
| 92 |
return annotated_image, summary_json, text_report, save_path
|
| 93 |
|
| 94 |
except Exception as e:
|
| 95 |
return None, {"error": str(e)}, f"System Failure: {str(e)}", None
|
| 96 |
|
| 97 |
-
# --- 3. UI STYLING (
|
| 98 |
|
| 99 |
-
# SVG Cursor: A stylized "Lens"
|
| 100 |
cursor_url = "url('data:image/svg+xml;base64,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')"
|
| 101 |
|
| 102 |
custom_css = f"""
|
| 103 |
-
|
| 104 |
-
@import url('https://fonts.googleapis.com/css2?family=
|
|
|
|
| 105 |
|
| 106 |
-
/* --- THEME VARIABLES --- */
|
| 107 |
:root {{
|
| 108 |
-
/*
|
| 109 |
-
--bg-gradient:
|
| 110 |
-
--card-bg: rgba(
|
| 111 |
-
--text-primary: #
|
| 112 |
-
--text-accent: #8b4513; /* Saddle Brown */
|
| 113 |
-
--border-color: #8b4513;
|
| 114 |
-
--btn-grad: linear-gradient(135deg, #cd853f 0%, #8b4513 100%);
|
| 115 |
-
--btn-text: #fff;
|
| 116 |
-
--glow-color: rgba(139, 69, 19, 0.3);
|
| 117 |
-
/* Guide Box Colors (Golden/Info) */
|
| 118 |
-
--info-bg: rgba(212, 175, 55, 0.1);
|
| 119 |
-
--info-border: #d4af37;
|
| 120 |
-
}}
|
| 121 |
-
|
| 122 |
-
.dark {{
|
| 123 |
-
/* DARK MODE */
|
| 124 |
-
--bg-gradient: radial-gradient(circle at 50% 0%, #1c1c1c 0%, #0a0a0a 100%);
|
| 125 |
-
--card-bg: rgba(30, 30, 30, 0.7);
|
| 126 |
-
--text-primary: #dcdcdc;
|
| 127 |
--text-accent: #d4af37; /* Gold */
|
| 128 |
--border-color: #d4af37;
|
| 129 |
--btn-grad: linear-gradient(135deg, #b8860b 0%, #d4af37 100%);
|
| 130 |
--btn-text: #000;
|
| 131 |
--glow-color: rgba(212, 175, 55, 0.4);
|
| 132 |
-
|
| 133 |
-
|
|
|
|
| 134 |
--info-border: #d4af37;
|
| 135 |
}}
|
| 136 |
|
| 137 |
/* --- GLOBAL SETTINGS --- */
|
| 138 |
body, .gradio-container {{
|
| 139 |
background: var(--bg-gradient) !important;
|
| 140 |
-
font-family: '
|
| 141 |
color: var(--text-primary) !important;
|
| 142 |
cursor: {cursor_url} 16 16, auto !important;
|
|
|
|
|
|
|
| 143 |
}}
|
| 144 |
|
| 145 |
button, a, .cursor-pointer {{
|
| 146 |
cursor: {cursor_url} 16 16, pointer !important;
|
| 147 |
}}
|
| 148 |
|
| 149 |
-
/* ---
|
| 150 |
.card {{
|
| 151 |
background: var(--card-bg) !important;
|
| 152 |
-
border: 1px solid rgba(
|
| 153 |
border-radius: 12px;
|
| 154 |
padding: 24px;
|
| 155 |
-
box-shadow: 0
|
| 156 |
backdrop-filter: blur(12px);
|
| 157 |
margin-bottom: 24px;
|
| 158 |
transition: all 0.3s cubic-bezier(0.25, 0.8, 0.25, 1);
|
|
@@ -161,7 +141,7 @@ button, a, .cursor-pointer {{
|
|
| 161 |
.card:hover {{
|
| 162 |
transform: translateY(-4px);
|
| 163 |
border-color: var(--border-color) !important;
|
| 164 |
-
box-shadow: 0 10px
|
| 165 |
}}
|
| 166 |
|
| 167 |
/* --- BUTTONS --- */
|
|
@@ -170,25 +150,26 @@ button.primary-btn {{
|
|
| 170 |
border: 1px solid var(--border-color) !important;
|
| 171 |
color: var(--btn-text) !important;
|
| 172 |
font-weight: 700 !important;
|
| 173 |
-
font-family: '
|
| 174 |
text-transform: uppercase;
|
| 175 |
-
letter-spacing:
|
| 176 |
transition: all 0.3s ease;
|
|
|
|
| 177 |
}}
|
| 178 |
button.primary-btn:hover {{
|
| 179 |
transform: scale(1.02);
|
| 180 |
-
box-shadow: 0 0
|
| 181 |
}}
|
| 182 |
|
| 183 |
/* --- TYPOGRAPHY --- */
|
| 184 |
.card-title {{
|
| 185 |
-
font-family: '
|
| 186 |
-
font-size:
|
| 187 |
font-weight: 700;
|
| 188 |
color: var(--text-accent);
|
| 189 |
text-transform: uppercase;
|
| 190 |
-
letter-spacing:
|
| 191 |
-
border-bottom: 1px solid rgba(
|
| 192 |
padding-bottom: 12px;
|
| 193 |
margin-bottom: 18px;
|
| 194 |
display: flex;
|
|
@@ -203,9 +184,10 @@ button.primary-btn:hover {{
|
|
| 203 |
padding: 16px;
|
| 204 |
margin: 12px 0;
|
| 205 |
border-radius: 0 8px 8px 0;
|
| 206 |
-
font-family: 'Space Mono', monospace;
|
| 207 |
font-size: 13px;
|
| 208 |
line-height: 1.6;
|
|
|
|
| 209 |
}}
|
| 210 |
|
| 211 |
.step-number {{
|
|
@@ -214,42 +196,46 @@ button.primary-btn:hover {{
|
|
| 214 |
text-transform: uppercase;
|
| 215 |
display: block;
|
| 216 |
margin-bottom: 6px;
|
| 217 |
-
font-size:
|
| 218 |
letter-spacing: 1px;
|
| 219 |
}}
|
| 220 |
|
| 221 |
.path-highlight {{
|
| 222 |
-
background: rgba(
|
| 223 |
-
padding:
|
| 224 |
border-radius: 4px;
|
| 225 |
color: var(--text-accent);
|
| 226 |
font-weight: bold;
|
|
|
|
| 227 |
}}
|
| 228 |
|
| 229 |
/* UI CLEANUP */
|
| 230 |
.gradio-image, .gradio-json {{ background: transparent !important; border: none !important; }}
|
| 231 |
.report-box textarea {{
|
| 232 |
-
background-color: rgba(
|
| 233 |
border: 1px solid var(--border-color) !important;
|
| 234 |
font-family: 'Space Mono', monospace !important;
|
| 235 |
-
color:
|
| 236 |
-
font-size:
|
| 237 |
}}
|
|
|
|
|
|
|
|
|
|
| 238 |
"""
|
| 239 |
|
| 240 |
header_html = """
|
| 241 |
-
<div style="padding: 20px 0; border-bottom: 1px solid rgba(
|
| 242 |
-
<div style="display: flex; align-items: center; gap:
|
| 243 |
-
<svg width="
|
| 244 |
<rect x="3" y="3" width="18" height="18" rx="2" />
|
| 245 |
<path d="M7 7h10" />
|
| 246 |
<path d="M7 12h10" />
|
| 247 |
<path d="M7 17h10" />
|
| 248 |
-
<circle cx="12" cy="12" r="3" stroke="
|
| 249 |
</svg>
|
| 250 |
<div>
|
| 251 |
-
<h1 style="margin: 0; font-size:
|
| 252 |
-
<p style="margin: 0; font-
|
| 253 |
</div>
|
| 254 |
</div>
|
| 255 |
</div>
|
|
@@ -258,7 +244,7 @@ header_html = """
|
|
| 258 |
mission_html = """
|
| 259 |
<div class="card">
|
| 260 |
<div class="card-title">📡 VISION STATEMENT</div>
|
| 261 |
-
<p style="opacity: 0.9; font-size:
|
| 262 |
<b>Bridging the Ancient and the Digital.</b><br>
|
| 263 |
The Rosetta Decoder project utilizes advanced computer vision to identify and catalog Ancient Egyptian hieroglyphs.
|
| 264 |
By automating the detection of Gardiner codes, we are creating a digital bridge that will eventually allow for instant,
|
|
@@ -353,7 +339,7 @@ with gr.Blocks(title="Rosetta Decoder") as demo:
|
|
| 353 |
gr.HTML('<div class="card"><div class="card-title">AI ANALYSIS RESULTS</div>')
|
| 354 |
out_image = gr.Image(label="Decoded Result", interactive=False)
|
| 355 |
|
| 356 |
-
# Download Button
|
| 357 |
btn_download = gr.DownloadButton("💾 DOWNLOAD RESULT", visible=True)
|
| 358 |
|
| 359 |
out_report = gr.Textbox(label="Analysis Log", lines=6, elem_classes="report-box", placeholder="Waiting for data stream...")
|
|
@@ -367,8 +353,6 @@ with gr.Blocks(title="Rosetta Decoder") as demo:
|
|
| 367 |
gr.HTML("</div>")
|
| 368 |
|
| 369 |
# Event Wiring
|
| 370 |
-
# Note: detect_hieroglyphs now returns 4 values: Image, JSON, Text, FilePath
|
| 371 |
-
|
| 372 |
btn_upload.click(
|
| 373 |
fn=detect_hieroglyphs,
|
| 374 |
inputs=[img_upload, slider_upload],
|
|
|
|
| 9 |
# --- 1. SETUP & MODEL LOADING ---
|
| 10 |
MODEL_REPO = "youkii-xr/hieroglyphic-detection"
|
| 11 |
MODEL_FILENAME = "best.pt"
|
|
|
|
| 12 |
os.environ["YOLO_CONFIG_DIR"] = "/tmp/Ultralytics"
|
| 13 |
|
| 14 |
try:
|
|
|
|
| 24 |
print(f"Error: {e}")
|
| 25 |
model = None
|
| 26 |
|
| 27 |
+
# --- 2. LOGIC ---
|
| 28 |
def generate_human_report(detections, counts):
|
|
|
|
| 29 |
if not detections:
|
| 30 |
return "Rosetta Decoder detects no identifiable Gardiner codes in this image."
|
| 31 |
|
|
|
|
| 54 |
try:
|
| 55 |
results = model.predict(source=image, conf=conf_threshold, iou=0.45, imgsz=640, verbose=False, device='cpu', max_det=300)
|
| 56 |
|
|
|
|
| 57 |
annotated_array = results[0].plot()
|
| 58 |
annotated_image = Image.fromarray(annotated_array[..., ::-1])
|
| 59 |
|
| 60 |
# Save for Download Button
|
|
|
|
| 61 |
temp_dir = tempfile.gettempdir()
|
| 62 |
save_path = os.path.join(temp_dir, "rosetta_decoded_result.jpg")
|
| 63 |
annotated_image.save(save_path)
|
| 64 |
|
|
|
|
| 65 |
detections = []
|
| 66 |
gardiner_counts = {}
|
| 67 |
|
|
|
|
| 82 |
}
|
| 83 |
|
| 84 |
text_report = generate_human_report(detections, gardiner_counts)
|
|
|
|
|
|
|
| 85 |
return annotated_image, summary_json, text_report, save_path
|
| 86 |
|
| 87 |
except Exception as e:
|
| 88 |
return None, {"error": str(e)}, f"System Failure: {str(e)}", None
|
| 89 |
|
| 90 |
+
# --- 3. UI STYLING (THE BLUE LAPIS THEME) ---
|
| 91 |
|
|
|
|
| 92 |
cursor_url = "url('data:image/svg+xml;base64,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')"
|
| 93 |
|
| 94 |
custom_css = f"""
|
| 95 |
+
/* Import 'Cairo' font: Modern, readable, fits the region */
|
| 96 |
+
@import url('https://fonts.googleapis.com/css2?family=Cairo:wght@300;400;600;700&display=swap');
|
| 97 |
+
@import url('https://fonts.googleapis.com/css2?family=Space+Mono:wght@400;700&display=swap');
|
| 98 |
|
|
|
|
| 99 |
:root {{
|
| 100 |
+
/* --- LAPIS LAZULI NIGHT THEME --- */
|
| 101 |
+
--bg-gradient: radial-gradient(circle at 50% 0%, #0a0a2e 0%, #000000 100%); /* Deep Blue to Black */
|
| 102 |
+
--card-bg: rgba(15, 15, 35, 0.7);
|
| 103 |
+
--text-primary: #e0e7ff; /* Soft Blue-White for comfortable reading */
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 104 |
--text-accent: #d4af37; /* Gold */
|
| 105 |
--border-color: #d4af37;
|
| 106 |
--btn-grad: linear-gradient(135deg, #b8860b 0%, #d4af37 100%);
|
| 107 |
--btn-text: #000;
|
| 108 |
--glow-color: rgba(212, 175, 55, 0.4);
|
| 109 |
+
|
| 110 |
+
/* Guide Box Colors */
|
| 111 |
+
--info-bg: rgba(212, 175, 55, 0.08);
|
| 112 |
--info-border: #d4af37;
|
| 113 |
}}
|
| 114 |
|
| 115 |
/* --- GLOBAL SETTINGS --- */
|
| 116 |
body, .gradio-container {{
|
| 117 |
background: var(--bg-gradient) !important;
|
| 118 |
+
font-family: 'Cairo', sans-serif !important; /* Replaced Cinzel with Cairo */
|
| 119 |
color: var(--text-primary) !important;
|
| 120 |
cursor: {cursor_url} 16 16, auto !important;
|
| 121 |
+
-webkit-font-smoothing: antialiased; /* Fixes pixelation */
|
| 122 |
+
-moz-osx-font-smoothing: grayscale;
|
| 123 |
}}
|
| 124 |
|
| 125 |
button, a, .cursor-pointer {{
|
| 126 |
cursor: {cursor_url} 16 16, pointer !important;
|
| 127 |
}}
|
| 128 |
|
| 129 |
+
/* --- CARDS --- */
|
| 130 |
.card {{
|
| 131 |
background: var(--card-bg) !important;
|
| 132 |
+
border: 1px solid rgba(212, 175, 55, 0.2) !important;
|
| 133 |
border-radius: 12px;
|
| 134 |
padding: 24px;
|
| 135 |
+
box-shadow: 0 8px 32px rgba(0, 0, 0, 0.3);
|
| 136 |
backdrop-filter: blur(12px);
|
| 137 |
margin-bottom: 24px;
|
| 138 |
transition: all 0.3s cubic-bezier(0.25, 0.8, 0.25, 1);
|
|
|
|
| 141 |
.card:hover {{
|
| 142 |
transform: translateY(-4px);
|
| 143 |
border-color: var(--border-color) !important;
|
| 144 |
+
box-shadow: 0 10px 40px rgba(0,0,0,0.5), 0 0 20px var(--glow-color);
|
| 145 |
}}
|
| 146 |
|
| 147 |
/* --- BUTTONS --- */
|
|
|
|
| 150 |
border: 1px solid var(--border-color) !important;
|
| 151 |
color: var(--btn-text) !important;
|
| 152 |
font-weight: 700 !important;
|
| 153 |
+
font-family: 'Cairo', sans-serif !important;
|
| 154 |
text-transform: uppercase;
|
| 155 |
+
letter-spacing: 1px;
|
| 156 |
transition: all 0.3s ease;
|
| 157 |
+
font-size: 16px !important;
|
| 158 |
}}
|
| 159 |
button.primary-btn:hover {{
|
| 160 |
transform: scale(1.02);
|
| 161 |
+
box-shadow: 0 0 25px var(--glow-color);
|
| 162 |
}}
|
| 163 |
|
| 164 |
/* --- TYPOGRAPHY --- */
|
| 165 |
.card-title {{
|
| 166 |
+
font-family: 'Cairo', sans-serif;
|
| 167 |
+
font-size: 18px; /* Larger for better reading */
|
| 168 |
font-weight: 700;
|
| 169 |
color: var(--text-accent);
|
| 170 |
text-transform: uppercase;
|
| 171 |
+
letter-spacing: 2px;
|
| 172 |
+
border-bottom: 1px solid rgba(212, 175, 55, 0.2);
|
| 173 |
padding-bottom: 12px;
|
| 174 |
margin-bottom: 18px;
|
| 175 |
display: flex;
|
|
|
|
| 184 |
padding: 16px;
|
| 185 |
margin: 12px 0;
|
| 186 |
border-radius: 0 8px 8px 0;
|
| 187 |
+
font-family: 'Space Mono', monospace; /* Keep mono for technical instructions */
|
| 188 |
font-size: 13px;
|
| 189 |
line-height: 1.6;
|
| 190 |
+
color: #e0e7ff;
|
| 191 |
}}
|
| 192 |
|
| 193 |
.step-number {{
|
|
|
|
| 196 |
text-transform: uppercase;
|
| 197 |
display: block;
|
| 198 |
margin-bottom: 6px;
|
| 199 |
+
font-size: 12px;
|
| 200 |
letter-spacing: 1px;
|
| 201 |
}}
|
| 202 |
|
| 203 |
.path-highlight {{
|
| 204 |
+
background: rgba(212, 175, 55, 0.15);
|
| 205 |
+
padding: 3px 8px;
|
| 206 |
border-radius: 4px;
|
| 207 |
color: var(--text-accent);
|
| 208 |
font-weight: bold;
|
| 209 |
+
border: 1px solid rgba(212, 175, 55, 0.3);
|
| 210 |
}}
|
| 211 |
|
| 212 |
/* UI CLEANUP */
|
| 213 |
.gradio-image, .gradio-json {{ background: transparent !important; border: none !important; }}
|
| 214 |
.report-box textarea {{
|
| 215 |
+
background-color: rgba(10, 10, 20, 0.5) !important;
|
| 216 |
border: 1px solid var(--border-color) !important;
|
| 217 |
font-family: 'Space Mono', monospace !important;
|
| 218 |
+
color: #a5b4fc !important; /* Lighter text for better contrast */
|
| 219 |
+
font-size: 14px !important;
|
| 220 |
}}
|
| 221 |
+
/* Override default gradio text color */
|
| 222 |
+
.block-title {{ color: var(--text-accent) !important; }}
|
| 223 |
+
span {{ color: var(--text-primary); }}
|
| 224 |
"""
|
| 225 |
|
| 226 |
header_html = """
|
| 227 |
+
<div style="padding: 20px 0; border-bottom: 1px solid rgba(212, 175, 55, 0.2); margin-bottom: 20px;">
|
| 228 |
+
<div style="display: flex; align-items: center; gap: 20px;">
|
| 229 |
+
<svg width="48" height="48" viewBox="0 0 24 24" fill="none" stroke="#d4af37" stroke-width="2">
|
| 230 |
<rect x="3" y="3" width="18" height="18" rx="2" />
|
| 231 |
<path d="M7 7h10" />
|
| 232 |
<path d="M7 12h10" />
|
| 233 |
<path d="M7 17h10" />
|
| 234 |
+
<circle cx="12" cy="12" r="3" stroke="#d4af37" fill="none"/>
|
| 235 |
</svg>
|
| 236 |
<div>
|
| 237 |
+
<h1 style="margin: 0; font-size: 36px; font-weight: 700; color: #e0e7ff; text-shadow: 0 0 10px rgba(212, 175, 55, 0.3);">ROSETTA DECODER</h1>
|
| 238 |
+
<p style="margin: 0; font-size: 14px; color: #d4af37; letter-spacing: 3px; font-weight: 600;">AI HIEROGLYPHIC TRANSLATION SYSTEM</p>
|
| 239 |
</div>
|
| 240 |
</div>
|
| 241 |
</div>
|
|
|
|
| 244 |
mission_html = """
|
| 245 |
<div class="card">
|
| 246 |
<div class="card-title">📡 VISION STATEMENT</div>
|
| 247 |
+
<p style="opacity: 0.9; font-size: 16px; line-height: 1.8; color: #e0e7ff;">
|
| 248 |
<b>Bridging the Ancient and the Digital.</b><br>
|
| 249 |
The Rosetta Decoder project utilizes advanced computer vision to identify and catalog Ancient Egyptian hieroglyphs.
|
| 250 |
By automating the detection of Gardiner codes, we are creating a digital bridge that will eventually allow for instant,
|
|
|
|
| 339 |
gr.HTML('<div class="card"><div class="card-title">AI ANALYSIS RESULTS</div>')
|
| 340 |
out_image = gr.Image(label="Decoded Result", interactive=False)
|
| 341 |
|
| 342 |
+
# Download Button
|
| 343 |
btn_download = gr.DownloadButton("💾 DOWNLOAD RESULT", visible=True)
|
| 344 |
|
| 345 |
out_report = gr.Textbox(label="Analysis Log", lines=6, elem_classes="report-box", placeholder="Waiting for data stream...")
|
|
|
|
| 353 |
gr.HTML("</div>")
|
| 354 |
|
| 355 |
# Event Wiring
|
|
|
|
|
|
|
| 356 |
btn_upload.click(
|
| 357 |
fn=detect_hieroglyphs,
|
| 358 |
inputs=[img_upload, slider_upload],
|