Upload streamlit_app.py

src/streamlit_app.py

@@ -9,7 +9,6 @@ from mtcnn import MTCNN
 import joblib
 import tensorflow.keras.backend as K
 from huggingface_hub import hf_hub_download
-
 import os
 
 # === Custom Metric ===
@@ -19,6 +18,9 @@ def pearson_corr(y_true, y_pred):
     return K.sum(x * y) / (K.sqrt(K.sum(K.square(x))) * K.sqrt(K.sum(K.square(y))) + K.epsilon())
 
 # === Load model and scaler ===
+# ✅ Set writable cache directory
+os.environ["HF_HOME"] = "./hf_cache"
+
 model_path = hf_hub_download(
     repo_id="jiinkwan/bmi-model",  # 🔁 This should match your new model repo
     filename="bmi_model_gender.keras"