change_loading_options

app.py

@@ -36,27 +36,28 @@ from mogen.datasets.utils import recover_from_ric
 from mogen.datasets.pipelines import RetargetSkeleton
 
 import requests
+from huggingface_hub import hf_hub_download
 
 def load_large_files(relative_path):
     # URL to file in the Hugging Face Hub
     url = "https://huggingface.co/mingyuan/data_hf/blob/main/" + relative_path
     # Temporary download in Space
-    file_path = "/tmp/" + relative_path.split('/')[-1]
-    
-    response = requests.get(url, stream=True)
-    response.raise_for_status()
-    total_size = int(response.headers.get("content-length", 0))
-    with open(file_path, "wb") as file, tqdm(
-        desc="Downloading",
-        total=total_size,
-        unit="B",
-        unit_scale=True,
-        unit_divisor=1024,
-    ) as bar:
-        for chunk in response.iter_content(chunk_size=8192):
-            file.write(chunk)
-            bar.update(len(chunk))
-    print(f"File downloaded successfully and saved as: {file_path}")
+    # file_path = "/tmp/" + relative_path.split('/')[-1]
+    # response = requests.get(url, stream=True)
+    # response.raise_for_status()
+    # total_size = int(response.headers.get("content-length", 0))
+    # with open(file_path, "wb") as file, tqdm(
+    #     desc="Downloading",
+    #     total=total_size,
+    #     unit="B",
+    #     unit_scale=True,
+    #     unit_divisor=1024,
+    # ) as bar:
+    #     for chunk in response.iter_content(chunk_size=8192):
+    #         file.write(chunk)
+    #         bar.update(len(chunk))
+    # print(f"File downloaded successfully and saved as: {file_path}")
+    file_path = hf_hub_download(repo_id="mingyuan/data_hf", filename=relative_path)
     return file_path
 
 def motion_temporal_filter(motion, sigma=1):

pre-requirements.txt

@@ -22,4 +22,5 @@ ipython
 librosa
 moviepy==1.0.3
 mmcv==1.7.1
-gradio==4.44.1
+gradio==4.44.1
+huggingface_hub