update

app.py

@@ -28,11 +28,11 @@ except Exception as e:
     logger.error(f"Failed to load model: {e}")
     raise HTTPException(status_code=500, detail="Model loading failed")
 
-class EmbeddingRequest(BaseModel):
-    input: str = Field(..., min_length=1, max_length=1000)
+# class EmbeddingRequest(BaseModel):
+#     input: str = Field(..., min_length=1, max_length=1000)
 
 @app.post("/v1/embeddings")
-async def embeddings(request: EmbeddingRequest, authorization: str = Depends(check_authorization)):
+async def embeddings(request, authorization: str = Depends(check_authorization)):
 # async def embeddings(request: EmbeddingRequest):
     # logger.info("Received request for embeddings")
     # return '2222222222'
@@ -53,7 +53,7 @@ async def embeddings(request: EmbeddingRequest, authorization: str = Depends(che
 
         # Calculate embeddings
         # embeddings = model.encode(input_text)
-        embeddings = model.encode([t for t in input_texts], normalize_embeddings=True)
+        embeddings_1 = model.encode(input_texts, normalize_embeddings=True)
 
         # Format the embeddings in OpenAI compatible format
         data = {