message

main.py

@@ -6,8 +6,6 @@ import numpy as np
 # Initialize the FastAPI app
 app = FastAPI()
 
-# Load the pre-trained SentenceTransformer model from Hugging Face
-#model = SentenceTransformer("//huggingface.co/spaces/Kabila22/Kabilan_embedding_1", trust_remote_code=True)
 model = SentenceTransformer("Alibaba-NLP/gte-base-en-v1.5", trust_remote_code=True)
 
 # Define the request body schema
@@ -17,7 +15,7 @@ class TextInput(BaseModel):
 # Home route
 @app.get("/")
 async def home():
-    return {"message": "Welcome to embedding SMS API, use /docs to post SMS text and get dimensions"}
+    return {"message": "Welcome to my dashboard"}
 
 # Define the API endpoint
 @app.post("/embed")