Spaces:
Running
Running
Update app.py
Browse files
app.py
CHANGED
|
@@ -10,7 +10,9 @@ from datasets import config
|
|
| 10 |
|
| 11 |
hf_token = os.environ['hf_token'] # 确保环境变量中有你的令牌
|
| 12 |
|
| 13 |
-
local_dir = "
|
|
|
|
|
|
|
| 14 |
# dataset = load_dataset("Vchitect/VBench_sampled_video")
|
| 15 |
# print(os.listdir("~/.cache/huggingface/datasets/Vchitect___VBench_sampled_video/"))
|
| 16 |
# root = "~/.cache/huggingface/datasets/Vchitect___VBench_sampled_video/"
|
|
@@ -33,8 +35,10 @@ os.makedirs(local_dir, exist_ok=True)
|
|
| 33 |
hf_api = HfApi(endpoint="https://huggingface.co", token=hf_token)
|
| 34 |
hf_api = HfApi(token=hf_token)
|
| 35 |
repo_id = "Vchitect/VBench_sampled_video"
|
|
|
|
| 36 |
|
| 37 |
model_names=[]
|
|
|
|
| 38 |
for i in hf_api.list_repo_tree('Vchitect/VBench_sampled_video',repo_type='dataset'):
|
| 39 |
model_name = i.path
|
| 40 |
if '.git' not in model_name and '.md' not in model_name:
|
|
@@ -52,6 +56,8 @@ with open("videos_by_dimension.json") as f:
|
|
| 52 |
# all_videos = json.load(f)
|
| 53 |
|
| 54 |
types = ['appearance_style', 'color', 'temporal_style', 'spatial_relationship', 'temporal_flickering', 'scene', 'multiple_objects', 'object_class', 'human_action', 'overall_consistency', 'subject_consistency']
|
|
|
|
|
|
|
| 55 |
|
| 56 |
def get_video_path_local(model_name, type, prompt):
|
| 57 |
if 'Show-1' in model_name:
|
|
@@ -183,7 +189,7 @@ def show_feedback_button():
|
|
| 183 |
with gr.Blocks() as interface:
|
| 184 |
gr.Markdown("# VBench Video Arena")
|
| 185 |
gr.Markdown("""
|
| 186 |
-
**VBench Video Arena: Watch AI-Generated Videos Instantly** (powered by [VBench](https://github.com/Vchitect/VBench) and [VBench Leaderboard](https://huggingface.co/spaces/Vchitect/VBench_Leaderboard))\n
|
| 187 |
- **Random 2 Videos**: Randomly selects two models to compare on the same ability dimension and text prompt.\n
|
| 188 |
- **Play Selection** Allows users to choose a model, dimension, and text prompt from drop-down menus and view the corresponding videos. """)
|
| 189 |
|
|
|
|
| 10 |
|
| 11 |
hf_token = os.environ['hf_token'] # 确保环境变量中有你的令牌
|
| 12 |
|
| 13 |
+
local_dir = "VBench-I2V_sampled_video" # 本地文件夹路径
|
| 14 |
+
|
| 15 |
+
|
| 16 |
# dataset = load_dataset("Vchitect/VBench_sampled_video")
|
| 17 |
# print(os.listdir("~/.cache/huggingface/datasets/Vchitect___VBench_sampled_video/"))
|
| 18 |
# root = "~/.cache/huggingface/datasets/Vchitect___VBench_sampled_video/"
|
|
|
|
| 35 |
hf_api = HfApi(endpoint="https://huggingface.co", token=hf_token)
|
| 36 |
hf_api = HfApi(token=hf_token)
|
| 37 |
repo_id = "Vchitect/VBench_sampled_video"
|
| 38 |
+
# repo_id = "Vchitect/VBench-I2V_sampled_video"
|
| 39 |
|
| 40 |
model_names=[]
|
| 41 |
+
# for i in hf_api.list_repo_tree('Vchitect/VBench-I2V_sampled_video',repo_type='dataset'):
|
| 42 |
for i in hf_api.list_repo_tree('Vchitect/VBench_sampled_video',repo_type='dataset'):
|
| 43 |
model_name = i.path
|
| 44 |
if '.git' not in model_name and '.md' not in model_name:
|
|
|
|
| 56 |
# all_videos = json.load(f)
|
| 57 |
|
| 58 |
types = ['appearance_style', 'color', 'temporal_style', 'spatial_relationship', 'temporal_flickering', 'scene', 'multiple_objects', 'object_class', 'human_action', 'overall_consistency', 'subject_consistency']
|
| 59 |
+
# types = ['subject_consistency', 'background_consistency', 'motion_smoothness', 'dynamic_degree', 'aesthetic_quality', 'imaging_quality', 'i2v_subject', 'i2v_background', 'camera_motion']
|
| 60 |
+
|
| 61 |
|
| 62 |
def get_video_path_local(model_name, type, prompt):
|
| 63 |
if 'Show-1' in model_name:
|
|
|
|
| 189 |
with gr.Blocks() as interface:
|
| 190 |
gr.Markdown("# VBench Video Arena")
|
| 191 |
gr.Markdown("""
|
| 192 |
+
**VBench-I2V Video Arena: Watch AI-Generated Videos Instantly** (powered by [VBench](https://github.com/Vchitect/VBench) and [VBench Leaderboard](https://huggingface.co/spaces/Vchitect/VBench_Leaderboard))\n
|
| 193 |
- **Random 2 Videos**: Randomly selects two models to compare on the same ability dimension and text prompt.\n
|
| 194 |
- **Play Selection** Allows users to choose a model, dimension, and text prompt from drop-down menus and view the corresponding videos. """)
|
| 195 |
|