Spaces:
Running
Running
Create envs.py
Browse files
envs.py
ADDED
@@ -0,0 +1,25 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
import os
|
2 |
+
|
3 |
+
from huggingface_hub import HfApi
|
4 |
+
|
5 |
+
# Info to change for your repository
|
6 |
+
# ----------------------------------
|
7 |
+
TOKEN = os.environ.get("HF_TOKEN") # A read/write token for your org
|
8 |
+
|
9 |
+
OWNER = "PartAI" # Change to your org - don't forget to create a results and request dataset, with the correct format!
|
10 |
+
# ----------------------------------
|
11 |
+
|
12 |
+
REPO_ID = f"{OWNER}/pteb-leaderboard"
|
13 |
+
QUEUE_REPO = f"{OWNER}/pteb-leaderboard-requests"
|
14 |
+
RESULTS_REPO = f"{OWNER}/pteb-leaderboard-results"
|
15 |
+
|
16 |
+
# If you setup a cache later, just change HF_HOME
|
17 |
+
CACHE_PATH=os.getenv("HF_HOME", ".")
|
18 |
+
|
19 |
+
# Local caches
|
20 |
+
EVAL_REQUESTS_PATH = os.path.join(CACHE_PATH, "eval-queue")
|
21 |
+
EVAL_RESULTS_PATH = os.path.join(CACHE_PATH, "eval-results")
|
22 |
+
EVAL_REQUESTS_PATH_BACKEND = os.path.join(CACHE_PATH, "eval-queue-bk")
|
23 |
+
EVAL_RESULTS_PATH_BACKEND = os.path.join(CACHE_PATH, "eval-results-bk")
|
24 |
+
|
25 |
+
API = HfApi(token=TOKEN)
|