fix gradio

app.py

@@ -8,12 +8,15 @@ os.environ["GRADIO_ROOT_PATH"] = "/_app/immutable"
 import gradio as gr
 from fastapi import FastAPI, Request
 import uvicorn
-import spaces
 from sentence_transformers import SentenceTransformer
 from sentence_transformers.util import cos_sim
 from sentence_transformers.quantization import quantize_embeddings
 
 
+import spaces
+
+
+
 app = FastAPI()
 
 
@@ -24,27 +27,27 @@ def embed(text):
     return query_embedding.tolist();
     
     
-@app.post("/v1/embeddings")
-async def openai_embeddings(request: Request):
-    body = await request.json();
-    print(body);
-    
-    model = body['model']
-    text = body['input'];
-    embeddings = embed(text)
-    return {
-		'object': "list"
-		,'data': [{
-			'object': "embeddings"
-			,'embedding': embeddings
-			,'index':0
-		}]
-		,'model':model
-		,'usage':{
-			 'prompt_tokens': 0
-			,'total_tokens': 0
-		}
-	}
+#@app.post("/v1/embeddings")
+#async def openai_embeddings(request: Request):
+#    body = await request.json();
+#    print(body);
+#    
+#    model = body['model']
+#    text = body['input'];
+#    embeddings = embed(text)
+#    return {
+#		'object': "list"
+#		,'data': [{
+#			'object': "embeddings"
+#			,'embedding': embeddings
+#			,'index':0
+#		}]
+#		,'model':model
+#		,'usage':{
+#			 'prompt_tokens': 0
+#			,'total_tokens': 0
+#		}
+#	}
 
 with gr.Blocks(fill_height=True) as demo:
     text = gr.Textbox();