Upload folder using huggingface_hub

app.py

@@ -11,7 +11,7 @@ HUGGINGFACE_MODEL_NAME= 'churn-model'
 HUGGINGFACE_USER_NAME = 'AdarshRL'
 
 # Download the model from the Model Hub
-model_path = hf_hub_download(repo_id=f"{HUGGINGFACE_USER_NAME}/{HUGGINGFACE_MODEL_NAME}", filename="best_churn_model.joblib")
+model_path = hf_hub_download(repo_id=f"{HUGGINGFACE_USER_NAME}/{HUGGINGFACE_MODEL_NAME}", filename="best_churn_model_v1.joblib")
 
 # Load the model
 model = joblib.load(model_path)

requirements.txt

@@ -4,3 +4,4 @@ streamlit==1.43.2
 joblib==1.5.1
 scikit-learn==1.6.0
 xgboost==2.1.4
+mlflow==3.0.1