Upload folder using huggingface_hub

app.py

@@ -8,15 +8,15 @@ from typing import List, Optional
 
 # Download your model pickle from the Hub on startup
 #model_path = hf_hub_download(repo_id="Projects-by-IF/causal-model-Z15-v2", filename="trained_causal_model_v4.pkl")
-model_path = hf_hub_download(repo_id="DIGMMUNI/trained_causal_model_v1", filename="trained_causal_model_v1.pkl")
-
-with open(model_path, "rb") as f:
-    model = pickle.load(f)
+# model_path = hf_hub_download(repo_id="Projects-by-IF/causal-model-temp", filename="trained_causal_model_whole_city.pkl")
+#
+# with open(model_path, "rb") as f:
+#     model = pickle.load(f)
 
 import joblib
 import os
 MODEL_DIR = r"./model"
-MODEL_FILE = "trained_causal_model_v1.pkl"
+MODEL_FILE = "trained_causal_model_whole_city.pkl"
 model_path = os.path.join(MODEL_DIR, MODEL_FILE)
 
 app = FastAPI()

model/trained_causal_model_whole_city.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:67a43dd28071a13f93adbd5a0495101c93de36ea45d4a2506289bbd30bebcf06
+size 134