Spaces:
Running
Running
Update app.py
Browse files
app.py
CHANGED
|
@@ -1,5 +1,5 @@
|
|
| 1 |
import os
|
| 2 |
-
|
| 3 |
from contextlib import asynccontextmanager
|
| 4 |
|
| 5 |
from fastapi import FastAPI, HTTPException
|
|
@@ -12,8 +12,8 @@ import torch.nn as nn
|
|
| 12 |
from transformers import DistilBertModel, DistilBertTokenizer
|
| 13 |
|
| 14 |
# ββ Logging setup βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
| 15 |
-
|
| 16 |
-
|
| 17 |
|
| 18 |
# ββ Label Maps ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
| 19 |
workout_label_map = {
|
|
@@ -72,9 +72,8 @@ state = AppState()
|
|
| 72 |
@asynccontextmanager
|
| 73 |
async def lifespan(app: FastAPI):
|
| 74 |
# ββ Startup βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
| 75 |
-
print("Loading model, tokenizer and Supabase client...")
|
| 76 |
|
| 77 |
-
|
| 78 |
|
| 79 |
state.device = torch.device('cpu')
|
| 80 |
|
|
@@ -83,9 +82,8 @@ async def lifespan(app: FastAPI):
|
|
| 83 |
'distilbert-base-uncased',
|
| 84 |
token=os.getenv('HF_TOKEN')
|
| 85 |
)
|
| 86 |
-
print("Tokenizer loaded")
|
| 87 |
|
| 88 |
-
|
| 89 |
|
| 90 |
# Load model once
|
| 91 |
state.model = MultiHeadDistilBERT(
|
|
|
|
| 1 |
import os
|
| 2 |
+
import logging
|
| 3 |
from contextlib import asynccontextmanager
|
| 4 |
|
| 5 |
from fastapi import FastAPI, HTTPException
|
|
|
|
| 12 |
from transformers import DistilBertModel, DistilBertTokenizer
|
| 13 |
|
| 14 |
# ββ Logging setup βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
| 15 |
+
logging.basicConfig(level=logging.INFO)
|
| 16 |
+
logger = logging.getLogger(__name__)
|
| 17 |
|
| 18 |
# ββ Label Maps ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
| 19 |
workout_label_map = {
|
|
|
|
| 72 |
@asynccontextmanager
|
| 73 |
async def lifespan(app: FastAPI):
|
| 74 |
# ββ Startup βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
|
|
|
| 75 |
|
| 76 |
+
logger.info("Loading model, tokenizer and Supabase client...")
|
| 77 |
|
| 78 |
state.device = torch.device('cpu')
|
| 79 |
|
|
|
|
| 82 |
'distilbert-base-uncased',
|
| 83 |
token=os.getenv('HF_TOKEN')
|
| 84 |
)
|
|
|
|
| 85 |
|
| 86 |
+
logger.info("Tokenizer loaded")
|
| 87 |
|
| 88 |
# Load model once
|
| 89 |
state.model = MultiHeadDistilBERT(
|