Update app.py

app.py

@@ -3,6 +3,15 @@ from transformers import AutoModelForObjectDetection, AutoImageProcessor
 import cv2
 import numpy as np
 import torch
+import os
+from huggingface_hub import login
+
+# Authentifizierung mit Hugging Face API-Token
+HF_TOKEN = os.getenv("HF_TOKEN")
+if HF_TOKEN:
+    login(HF_TOKEN)
+else:
+    raise ValueError("HF_TOKEN environment variable not set. Please add it in Space settings.")
 
 # Lade das Modell und den Image Processor
 model = AutoModelForObjectDetection.from_pretrained("facebook/dinov3-convnext-small-pretrain-lvd1689m")
@@ -33,9 +42,8 @@ def analyze_image(image, prompt):
             mean_color = np.mean(candle_roi, axis=(0, 1)).astype(int)
             color_rgb = f"RGB({mean_color[2]},{mean_color[1]},{mean_color[0]})"
 
-            # Generische Labels, da DINOv3 nicht candlestick-spezifisch ist
             detections.append({
-                "pattern": f"Candlestick_{label.item()}",  # Placeholder
+                "pattern": f"Candlestick_{label.item()}",  # Generische Labels
                 "confidence": score.item(),
                 "color": color_rgb,
                 "x_center": (xmin + xmax) / 2,