Spaces:
Sleeping
Sleeping
Update app.py
Browse files
app.py
CHANGED
@@ -2,19 +2,21 @@ from fastapi import FastAPI
|
|
2 |
from pydantic import BaseModel
|
3 |
from transformers import pipeline, AutoTokenizer
|
4 |
import uvicorn
|
5 |
-
|
6 |
app = FastAPI()
|
|
|
|
|
7 |
|
8 |
MODEL_NAME = "VincentMuriuki/legal-summarizer"
|
9 |
-
summarizer = pipeline("summarization", model=MODEL_NAME)
|
10 |
-
tokenizer = AutoTokenizer.from_pretrained(MODEL_NAME)
|
11 |
|
12 |
class SummarizeInput(BaseModel):
|
13 |
text: str
|
14 |
|
15 |
class ChunkInput(BaseModel):
|
16 |
text: str
|
17 |
-
max_tokens: int = 512
|
18 |
|
19 |
@app.post("/summarize")
|
20 |
def summarize_text(data: SummarizeInput):
|
|
|
2 |
from pydantic import BaseModel
|
3 |
from transformers import pipeline, AutoTokenizer
|
4 |
import uvicorn
|
5 |
+
import os
|
6 |
app = FastAPI()
|
7 |
+
HF_AUTH_TOKEN=os.environ.get("HF_TOKEN")
|
8 |
+
|
9 |
|
10 |
MODEL_NAME = "VincentMuriuki/legal-summarizer"
|
11 |
+
summarizer = pipeline("summarization", model=MODEL_NAME, token=HF_AUTH_TOKEN)
|
12 |
+
tokenizer = AutoTokenizer.from_pretrained(MODEL_NAME, token=HF_AUTH_TOKEN)
|
13 |
|
14 |
class SummarizeInput(BaseModel):
|
15 |
text: str
|
16 |
|
17 |
class ChunkInput(BaseModel):
|
18 |
text: str
|
19 |
+
max_tokens: int = 512
|
20 |
|
21 |
@app.post("/summarize")
|
22 |
def summarize_text(data: SummarizeInput):
|