Spaces:
Running
Running
Update app.py
Browse files
app.py
CHANGED
|
@@ -1,15 +1,29 @@
|
|
| 1 |
from fastapi import FastAPI
|
| 2 |
from sentence_transformers import SentenceTransformer
|
|
|
|
| 3 |
|
| 4 |
app = FastAPI()
|
| 5 |
|
| 6 |
model = SentenceTransformer("BAAI/bge-base-en-v1.5")
|
| 7 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 8 |
@app.post("/embed")
|
| 9 |
def embed(data: dict):
|
| 10 |
|
| 11 |
text = data["text"]
|
| 12 |
|
| 13 |
-
embedding = model.encode(
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 14 |
|
| 15 |
-
|
|
|
|
|
|
| 1 |
from fastapi import FastAPI
|
| 2 |
from sentence_transformers import SentenceTransformer
|
| 3 |
+
import uvicorn
|
| 4 |
|
| 5 |
app = FastAPI()
|
| 6 |
|
| 7 |
model = SentenceTransformer("BAAI/bge-base-en-v1.5")
|
| 8 |
|
| 9 |
+
|
| 10 |
+
@app.get("/")
|
| 11 |
+
def root():
|
| 12 |
+
return {"status": "embedding api running"}
|
| 13 |
+
|
| 14 |
+
|
| 15 |
@app.post("/embed")
|
| 16 |
def embed(data: dict):
|
| 17 |
|
| 18 |
text = data["text"]
|
| 19 |
|
| 20 |
+
embedding = model.encode(
|
| 21 |
+
text,
|
| 22 |
+
normalize_embeddings=True
|
| 23 |
+
).tolist()
|
| 24 |
+
|
| 25 |
+
return {"embedding": embedding}
|
| 26 |
+
|
| 27 |
|
| 28 |
+
if __name__ == "__main__":
|
| 29 |
+
uvicorn.run(app, host="0.0.0.0", port=7860)
|