Spaces:
Sleeping
Sleeping
Update app.py
Browse files
app.py
CHANGED
|
@@ -6,10 +6,9 @@ from bs4 import BeautifulSoup
|
|
| 6 |
from concurrent.futures import ThreadPoolExecutor
|
| 7 |
from transformers import AutoModelForCausalLM, AutoTokenizer
|
| 8 |
|
| 9 |
-
# Model Name from Hugging Face
|
| 10 |
MODEL_NAME = "deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B"
|
| 11 |
|
| 12 |
-
# Load the model & tokenizer from Hugging Face
|
| 13 |
tokenizer = AutoTokenizer.from_pretrained(MODEL_NAME)
|
| 14 |
model = AutoModelForCausalLM.from_pretrained(MODEL_NAME, torch_dtype=torch.float16)
|
| 15 |
|
|
@@ -18,7 +17,6 @@ HEADERS = {"User-Agent": "Mozilla/5.0"}
|
|
| 18 |
MAX_CASE_TEXT_LENGTH = 9500
|
| 19 |
MAX_CONCURRENT_REQUESTS = 100
|
| 20 |
|
| 21 |
-
# Threading for faster execution
|
| 22 |
executor = ThreadPoolExecutor(max_workers=10)
|
| 23 |
semaphore = asyncio.Semaphore(MAX_CONCURRENT_REQUESTS)
|
| 24 |
|
|
|
|
| 6 |
from concurrent.futures import ThreadPoolExecutor
|
| 7 |
from transformers import AutoModelForCausalLM, AutoTokenizer
|
| 8 |
|
|
|
|
| 9 |
MODEL_NAME = "deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B"
|
| 10 |
|
| 11 |
+
# Load the model & tokenizer from Hugging Face
|
| 12 |
tokenizer = AutoTokenizer.from_pretrained(MODEL_NAME)
|
| 13 |
model = AutoModelForCausalLM.from_pretrained(MODEL_NAME, torch_dtype=torch.float16)
|
| 14 |
|
|
|
|
| 17 |
MAX_CASE_TEXT_LENGTH = 9500
|
| 18 |
MAX_CONCURRENT_REQUESTS = 100
|
| 19 |
|
|
|
|
| 20 |
executor = ThreadPoolExecutor(max_workers=10)
|
| 21 |
semaphore = asyncio.Semaphore(MAX_CONCURRENT_REQUESTS)
|
| 22 |
|