chest / app.py
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Update app.py
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from fastapi import FastAPI, File, UploadFile
from fastapi.responses import HTMLResponse
from transformers import pipeline
from PIL import Image
import io
import uvicorn
import base64
app = FastAPI()
# Chargement des modèles
def load_models():
return {
"chest_classifier": pipeline("image-classification", model="codewithdark/vit-chest-xray")
}
models = load_models()
# Liste des maladies dans l'ordre des labels du modèle
LABEL_MAP = {
'LABEL_0': 'Kardiomegalie', # Élargissement du cœur
'LABEL_1': 'Ödem', # Œdème
'LABEL_2': 'Konsolidierung', # Consolidation
'LABEL_3': 'Lungenentzündung', # Pneumonie
'LABEL_4': 'Kein Befund' # Aucune anomalie
}
def translate_label(label):
# Si le label est au format "LABEL_X", on le traduit
if isinstance(label, str) and label in LABEL_MAP:
return LABEL_MAP[label]
# Sinon on retourne le label original avec un avertissement
return f"Unbekannt ({label})"
return translations.get(label, label)
def image_to_base64(image):
buffered = io.BytesIO()
image.save(buffered, format="PNG")
img_str = base64.b64encode(buffered.getvalue()).decode()
return f"data:image/png;base64,{img_str}"
COMMON_STYLES = """
body {
font-family: system-ui, -apple-system, sans-serif;
background: #f0f2f5;
margin: 0;
padding: 20px;
color: #1a1a1a;
}
::-webkit-scrollbar {
width: 8px;
height: 8px;
}
::-webkit-scrollbar-track {
background: transparent;
}
::-webkit-scrollbar-thumb {
background-color: rgba(156, 163, 175, 0.5);
border-radius: 4px;
}
.container {
max-width: 1200px;
margin: 0 auto;
background: white;
padding: 20px;
border-radius: 10px;
box-shadow: 0 2px 4px rgba(0,0,0,0.1);
}
.button {
background: #2d2d2d;
color: white;
border: none;
padding: 12px 30px;
border-radius: 8px;
cursor: pointer;
font-size: 1.1em;
transition: all 0.3s ease;
position: relative;
}
.button:hover {
background: #404040;
}
@keyframes progress {
0% { width: 0; }
100% { width: 100%; }
}
.button-progress {
position: absolute;
bottom: 0;
left: 0;
height: 4px;
background: rgba(255, 255, 255, 0.5);
width: 0;
}
.button:active .button-progress {
animation: progress 2s linear forwards;
}
img {
max-width: 100%;
height: auto;
border-radius: 8px;
}
@keyframes blink {
0% { opacity: 1; }
50% { opacity: 0; }
100% { opacity: 1; }
}
#loading {
display: none;
color: white;
margin-top: 10px;
animation: blink 1s infinite;
text-align: center;
}
"""
@app.get("/", response_class=HTMLResponse)
async def main():
content = f"""
<!DOCTYPE html>
<html>
<head>
<title>Thorax-Röntgen Analyse</title>
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<style>
{COMMON_STYLES}
.upload-section {{
background: #2d2d2d;
padding: 40px;
border-radius: 12px;
margin: 20px 0;
text-align: center;
border: 2px dashed #404040;
transition: all 0.3s ease;
color: white;
}}
.upload-section:hover {{
border-color: #555;
}}
input[type="file"] {{
width: 0.1px;
height: 0.1px;
opacity: 0;
overflow: hidden;
position: absolute;
z-index: -1;
}}
.file-upload-label {{
display: inline-block;
padding: 12px 30px;
background: #404040;
color: white;
border-radius: 8px;
cursor: pointer;
font-size: 1.1em;
transition: all 0.3s ease;
margin: 20px 0;
}}
.file-upload-label:hover {{
background: #555;
}}
</style>
</head>
<body>
<div class="container">
<div class="upload-section">
<form action="/analyze" method="post" enctype="multipart/form-data" onsubmit="document.getElementById('loading').style.display = 'block';">
<div>
<label for="file-upload" class="file-upload-label">
Röntgenbild auswählen
</label>
<input id="file-upload" type="file" name="file" accept="image/*" required>
</div>
<button type="submit" class="button">
Analysieren
<div class="button-progress"></div>
</button>
<div id="loading">Wird geladen...</div>
</form>
</div>
</div>
</body>
</html>
"""
return content
@app.post("/analyze", response_class=HTMLResponse)
async def analyze_file(file: UploadFile = File(...)):
try:
contents = await file.read()
image = Image.open(io.BytesIO(contents))
predictions = models["chest_classifier"](image)
result_image_b64 = image_to_base64(image)
results_html = f"""
<!DOCTYPE html>
<html>
<head>
<title>Ergebnisse</title>
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<style>
{COMMON_STYLES}
.results-grid {{
display: grid;
grid-template-columns: 1fr 1fr;
gap: 20px;
margin-top: 20px;
}}
.result-box {{
background: white;
padding: 20px;
border-radius: 12px;
margin: 10px 0;
border: 1px solid #e9ecef;
}}
.score-high {{
color: #0066cc;
font-weight: bold;
}}
.score-medium {{
color: #ffa500;
font-weight: bold;
}}
.back-button {{
display: inline-block;
text-decoration: none;
margin-top: 20px;
}}
h3 {{
color: #0066cc;
margin-top: 0;
}}
@media (max-width: 768px) {{
.results-grid {{
grid-template-columns: 1fr;
}}
}}
</style>
</head>
<body>
<div class="container">
<div class="results-grid">
<div class="result-box">
<h3>Analyse-Ergebnisse</h3>
"""
for pred in predictions:
confidence_class = "score-high" if pred['score'] > 0.7 else "score-medium"
results_html += f"""
<div>
<span class="{confidence_class}">{pred['score']:.1%}</span> -
{translate_label(pred['label'])}
</div>
"""
results_html += f"""
</div>
<div class="result-box">
<h3>Röntgenbild</h3>
<img src="{result_image_b64}" alt="Analysiertes Röntgenbild">
</div>
</div>
<a href="/" class="button back-button">
← Zurück
<div class="button-progress"></div>
</a>
</div>
</body>
</html>
"""
return results_html
except Exception as e:
return f"""
<!DOCTYPE html>
<html>
<head>
<title>Fehler</title>
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<style>
{COMMON_STYLES}
.error-box {{
background: #fee2e2;
border: 1px solid #ef4444;
padding: 20px;
border-radius: 8px;
margin: 20px 0;
}}
</style>
</head>
<body>
<div class="container">
<div class="error-box">
<h3>Fehler</h3>
<p>{str(e)}</p>
</div>
<a href="/" class="button back-button">
← Zurück
<div class="button-progress"></div>
</a>
</div>
</body>
</html>
"""
if __name__ == "__main__":
uvicorn.run(app, host="0.0.0.0", port=7860)