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Runtime error
Runtime error
Update app.py
Browse files
app.py
CHANGED
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@@ -2,7 +2,9 @@ from fastapi import FastAPI, File, UploadFile
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from fastapi.responses import HTMLResponse
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from transformers import pipeline
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from PIL import Image, ImageDraw
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import io
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import base64
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app = FastAPI()
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@@ -67,7 +69,12 @@ def draw_boxes(image, predictions):
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text_bbox = draw.textbbox((box['xmin'], box['ymin']-20), label)
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draw.rectangle(text_bbox, fill=(0, 0, 0, 180))
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return result_image
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@@ -77,116 +84,121 @@ def image_to_base64(image):
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img_str = base64.b64encode(buffered.getvalue()).decode()
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return f"data:image/png;base64,{img_str}"
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body {
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font-family: system-ui, -apple-system, sans-serif;
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background: #
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margin: 0;
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padding: 20px;
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color: #
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}
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.container {
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max-width: 1200px;
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margin: 0 auto;
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background:
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padding: 20px;
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border-radius: 10px;
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box-shadow: 0 4px
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}
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.upload-section {
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background: #2d3748;
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padding: 40px;
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border-radius: 12px;
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margin: 20px 0;
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text-align: center;
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border: 2px dashed #4a5568;
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}
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/* Animation de chargement */
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@keyframes loading {
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0% { background-position: 200% 0; }
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100% { background-position: -200% 0; }
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}
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.button {
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background: #
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color: white;
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border: none;
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padding: 12px 30px;
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border-radius: 8px;
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cursor: pointer;
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font-size: 1.1em;
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}
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.button:
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background:
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background-size: 200% 100%;
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animation: loading 2s infinite linear;
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}
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color: #e2e8f0;
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}
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input[type="file"]::file-selector-button {
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font-size: 1em;
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padding: 10px 20px;
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border-radius: 8px;
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border: 1px solid #4a5568;
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background: #2d3748;
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color: #e2e8f0;
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cursor: pointer;
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}
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}
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}
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.
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font-weight: bold;
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}
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.score-medium {
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color: #ed8936;
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font-weight: bold;
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}
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img {
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max-width: 100%;
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border-radius: 8px;
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box-shadow: 0 4px 6px rgba(0, 0, 0, 0.1);
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}
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h3 {
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color: #63b3ed;
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margin-top: 0;
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}
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.results-grid {
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display: grid;
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grid-template-columns: 1fr 1fr;
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gap: 20px;
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margin-top: 20px;
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}
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@media (max-width: 768px) {
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.results-grid {
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grid-template-columns: 1fr;
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}
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}
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"""
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@@ -198,15 +210,86 @@ async def main():
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<head>
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<title>Fraktur Detektion</title>
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<meta name="viewport" content="width=device-width, initial-scale=1.0">
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<style>
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</head>
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<body>
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<div class="container">
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<div class="upload-section">
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<form action="/analyze" method="post" enctype="multipart/form-data">
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</form>
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</div>
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</div>
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predictions_locator = models["KnochenAuge"](image)
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filtered_preds = [p for p in predictions_locator if p['score'] >= 0.6]
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result_image_b64 = image_to_base64(result_image)
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results_html = f"""
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<head>
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<title>Ergebnisse</title>
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<meta name="viewport" content="width=device-width, initial-scale=1.0">
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<style>
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</head>
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<body>
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<div class="container">
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</div>
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</div>
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<a href="/" class="button">
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</div>
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</body>
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</html>
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<head>
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<title>Fehler</title>
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<meta name="viewport" content="width=device-width, initial-scale=1.0">
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<style>
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</head>
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<body>
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<div class="container">
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<div class="
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<h3>Fehler</h3>
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<p>{str(e)}</p>
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</div>
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<a href="/" class="button">
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</div>
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</body>
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</html>
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"""
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if __name__ == "__main__":
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import uvicorn
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uvicorn.run(app, host="0.0.0.0", port=7860)
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from fastapi.responses import HTMLResponse
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from transformers import pipeline
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from PIL import Image, ImageDraw
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import numpy as np
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import io
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import uvicorn
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import base64
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app = FastAPI()
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text_bbox = draw.textbbox((box['xmin'], box['ymin']-20), label)
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draw.rectangle(text_bbox, fill=(0, 0, 0, 180))
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draw.text(
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(box['xmin'], box['ymin']-20),
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label,
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fill=(255, 255, 255, 255)
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)
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return result_image
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img_str = base64.b64encode(buffered.getvalue()).decode()
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return f"data:image/png;base64,{img_str}"
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# Styles communs pour les deux pages
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COMMON_STYLES = """
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:root {
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color-scheme: light dark;
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}
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@media (prefers-color-scheme: dark) {
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body {
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background: #1a1a1a !important;
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color: #ffffff !important;
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}
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.container {
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background: #2d2d2d !important;
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}
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.result-box, .upload-section {
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background: #363636 !important;
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border-color: #555 !important;
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}
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.button {
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background: #0066cc !important;
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}
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input[type="file"]::file-selector-button {
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background: #444 !important;
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color: #fff !important;
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border-color: #555 !important;
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}
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input[type="range"] {
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background: #444 !important;
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}
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.button-progress {
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background: rgba(255, 255, 255, 0.2) !important;
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}
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}
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body {
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font-family: system-ui, -apple-system, sans-serif;
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background: #f0f2f5;
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margin: 0;
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padding: 20px;
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color: #1a1a1a;
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}
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/* Scrollbar personnalisée */
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::-webkit-scrollbar {
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width: 8px;
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height: 8px;
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}
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::-webkit-scrollbar-track {
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background: transparent;
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}
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::-webkit-scrollbar-thumb {
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background-color: rgba(156, 163, 175, 0.5);
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border-radius: 4px;
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}
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@media (prefers-color-scheme: dark) {
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::-webkit-scrollbar-thumb {
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background-color: rgba(75, 85, 99, 0.5);
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}
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}
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.container {
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max-width: 1200px;
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margin: 0 auto;
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background: white;
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padding: 20px;
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border-radius: 10px;
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box-shadow: 0 2px 4px rgba(0,0,0,0.1);
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}
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.button {
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background: #0066cc;
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color: white;
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border: none;
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padding: 12px 30px;
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border-radius: 8px;
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cursor: pointer;
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font-size: 1.1em;
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transition: all 0.3s ease;
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position: relative;
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}
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.button:hover {
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background: #0052a3;
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}
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/* Nouvelle barre de progression */
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.button {
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position: relative;
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}
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@keyframes progress {
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0% { width: 0; }
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100% { width: 100%; }
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}
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.button-progress {
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position: absolute;
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bottom: 0;
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left: 0;
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height: 4px;
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background: rgba(255, 255, 255, 0.5);
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width: 0;
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}
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.button:active .button-progress {
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animation: progress 2s linear forwards;
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}
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img {
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max-width: 100%;
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height: auto;
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border-radius: 8px;
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}
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"""
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<head>
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<title>Fraktur Detektion</title>
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<meta name="viewport" content="width=device-width, initial-scale=1.0">
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<style>
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{COMMON_STYLES}
|
| 215 |
+
|
| 216 |
+
.upload-section {{
|
| 217 |
+
background: #f8f9fa;
|
| 218 |
+
padding: 40px;
|
| 219 |
+
border-radius: 12px;
|
| 220 |
+
margin: 20px 0;
|
| 221 |
+
text-align: center;
|
| 222 |
+
border: 2px dashed #ccc;
|
| 223 |
+
transition: all 0.3s ease;
|
| 224 |
+
}}
|
| 225 |
+
|
| 226 |
+
.upload-section:hover {{
|
| 227 |
+
border-color: #0066cc;
|
| 228 |
+
}}
|
| 229 |
+
|
| 230 |
+
input[type="file"] {{
|
| 231 |
+
font-size: 1.1em;
|
| 232 |
+
margin: 20px 0;
|
| 233 |
+
}}
|
| 234 |
+
|
| 235 |
+
input[type="file"]::file-selector-button {{
|
| 236 |
+
font-size: 1em;
|
| 237 |
+
padding: 10px 20px;
|
| 238 |
+
border-radius: 8px;
|
| 239 |
+
border: 1px solid #ccc;
|
| 240 |
+
background: #f8f9fa;
|
| 241 |
+
transition: all 0.3s ease;
|
| 242 |
+
cursor: pointer;
|
| 243 |
+
}}
|
| 244 |
+
|
| 245 |
+
input[type="file"]::file-selector-button:hover {{
|
| 246 |
+
background: #e9ecef;
|
| 247 |
+
}}
|
| 248 |
+
|
| 249 |
+
.confidence-slider {{
|
| 250 |
+
width: 100%;
|
| 251 |
+
max-width: 300px;
|
| 252 |
+
margin: 20px auto;
|
| 253 |
+
}}
|
| 254 |
+
|
| 255 |
+
input[type="range"] {{
|
| 256 |
+
width: 100%;
|
| 257 |
+
height: 8px;
|
| 258 |
+
border-radius: 4px;
|
| 259 |
+
background: #e9ecef;
|
| 260 |
+
outline: none;
|
| 261 |
+
transition: all 0.3s ease;
|
| 262 |
+
-webkit-appearance: none;
|
| 263 |
+
}}
|
| 264 |
+
|
| 265 |
+
input[type="range"]::-webkit-slider-thumb {{
|
| 266 |
+
-webkit-appearance: none;
|
| 267 |
+
width: 20px;
|
| 268 |
+
height: 20px;
|
| 269 |
+
border-radius: 50%;
|
| 270 |
+
background: #0066cc;
|
| 271 |
+
cursor: pointer;
|
| 272 |
+
border: none;
|
| 273 |
+
}}
|
| 274 |
+
</style>
|
| 275 |
</head>
|
| 276 |
<body>
|
| 277 |
<div class="container">
|
| 278 |
<div class="upload-section">
|
| 279 |
<form action="/analyze" method="post" enctype="multipart/form-data">
|
| 280 |
+
<div>
|
| 281 |
+
<input type="file" name="file" accept="image/*" required>
|
| 282 |
+
</div>
|
| 283 |
+
<div class="confidence-slider">
|
| 284 |
+
<label for="threshold">Konfidenzschwelle: <span id="thresholdValue">0.60</span></label>
|
| 285 |
+
<input type="range" id="threshold" name="threshold"
|
| 286 |
+
min="0" max="1" step="0.05" value="0.60"
|
| 287 |
+
oninput="document.getElementById('thresholdValue').textContent = parseFloat(this.value).toFixed(2)">
|
| 288 |
+
</div>
|
| 289 |
+
<button type="submit" class="button">
|
| 290 |
+
Analysieren
|
| 291 |
+
<div class="button-progress"></div>
|
| 292 |
+
</button>
|
| 293 |
</form>
|
| 294 |
</div>
|
| 295 |
</div>
|
|
|
|
| 309 |
predictions_locator = models["KnochenAuge"](image)
|
| 310 |
|
| 311 |
filtered_preds = [p for p in predictions_locator if p['score'] >= 0.6]
|
| 312 |
+
if filtered_preds:
|
| 313 |
+
result_image = draw_boxes(image, filtered_preds)
|
| 314 |
+
else:
|
| 315 |
+
result_image = image
|
| 316 |
+
|
| 317 |
result_image_b64 = image_to_base64(result_image)
|
| 318 |
|
| 319 |
results_html = f"""
|
|
|
|
| 322 |
<head>
|
| 323 |
<title>Ergebnisse</title>
|
| 324 |
<meta name="viewport" content="width=device-width, initial-scale=1.0">
|
| 325 |
+
<style>
|
| 326 |
+
{COMMON_STYLES}
|
| 327 |
+
|
| 328 |
+
.results-grid {{
|
| 329 |
+
display: grid;
|
| 330 |
+
grid-template-columns: 1fr 1fr;
|
| 331 |
+
gap: 20px;
|
| 332 |
+
margin-top: 20px;
|
| 333 |
+
}}
|
| 334 |
+
|
| 335 |
+
.result-box {{
|
| 336 |
+
background: #f8f9fa;
|
| 337 |
+
padding: 20px;
|
| 338 |
+
border-radius: 12px;
|
| 339 |
+
margin: 10px 0;
|
| 340 |
+
border: 1px solid #e9ecef;
|
| 341 |
+
}}
|
| 342 |
+
|
| 343 |
+
.score-high {{
|
| 344 |
+
color: #0066cc;
|
| 345 |
+
font-weight: bold;
|
| 346 |
+
}}
|
| 347 |
+
|
| 348 |
+
.score-medium {{
|
| 349 |
+
color: #ffa500;
|
| 350 |
+
font-weight: bold;
|
| 351 |
+
}}
|
| 352 |
+
|
| 353 |
+
.back-button {{
|
| 354 |
+
display: inline-block;
|
| 355 |
+
text-decoration: none;
|
| 356 |
+
margin-top: 20px;
|
| 357 |
+
}}
|
| 358 |
+
|
| 359 |
+
h3 {{
|
| 360 |
+
color: #0066cc;
|
| 361 |
+
margin-top: 0;
|
| 362 |
+
}}
|
| 363 |
+
|
| 364 |
+
@media (prefers-color-scheme: dark) {{
|
| 365 |
+
h3 {{
|
| 366 |
+
color: #66b3ff;
|
| 367 |
+
}}
|
| 368 |
+
}}
|
| 369 |
+
|
| 370 |
+
@media (max-width: 768px) {{
|
| 371 |
+
.results-grid {{
|
| 372 |
+
grid-template-columns: 1fr;
|
| 373 |
+
}}
|
| 374 |
+
}}
|
| 375 |
+
</style>
|
| 376 |
</head>
|
| 377 |
<body>
|
| 378 |
<div class="container">
|
|
|
|
| 412 |
</div>
|
| 413 |
</div>
|
| 414 |
|
| 415 |
+
<a href="/" class="button back-button">
|
| 416 |
+
← Zurück
|
| 417 |
+
<div class="button-progress"></div>
|
| 418 |
+
</a>
|
| 419 |
</div>
|
| 420 |
</body>
|
| 421 |
</html>
|
|
|
|
| 430 |
<head>
|
| 431 |
<title>Fehler</title>
|
| 432 |
<meta name="viewport" content="width=device-width, initial-scale=1.0">
|
| 433 |
+
<style>
|
| 434 |
+
{COMMON_STYLES}
|
| 435 |
+
.error-box {{
|
| 436 |
+
background: #fee2e2;
|
| 437 |
+
border: 1px solid #ef4444;
|
| 438 |
+
padding: 20px;
|
| 439 |
+
border-radius: 8px;
|
| 440 |
+
margin: 20px 0;
|
| 441 |
+
}}
|
| 442 |
+
@media (prefers-color-scheme: dark) {{
|
| 443 |
+
.error-box {{
|
| 444 |
+
background: #471818;
|
| 445 |
+
border-color: #dc2626;
|
| 446 |
+
}}
|
| 447 |
+
}}
|
| 448 |
+
</style>
|
| 449 |
</head>
|
| 450 |
<body>
|
| 451 |
<div class="container">
|
| 452 |
+
<div class="error-box">
|
| 453 |
<h3>Fehler</h3>
|
| 454 |
<p>{str(e)}</p>
|
| 455 |
</div>
|
| 456 |
+
<a href="/" class="button back-button">
|
| 457 |
+
← Zurück
|
| 458 |
+
<div class="button-progress"></div>
|
| 459 |
+
</a>
|
| 460 |
</div>
|
| 461 |
</body>
|
| 462 |
</html>
|
| 463 |
"""
|
| 464 |
|
| 465 |
if __name__ == "__main__":
|
|
|
|
| 466 |
uvicorn.run(app, host="0.0.0.0", port=7860)
|