remove qudra database instance

Dockerfile

@@ -16,8 +16,8 @@ COPY --chown=user * ./
 RUN pip install --no-cache-dir --upgrade -r requirements.txt
 
 COPY --chown=user . /app
-# CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "7860"]
-CMD ["sh", "-c", "qdrant & uvicorn main:app --host 0.0.0.0 --port 7860"]
+CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "7860"]
+# CMD ["sh", "-c", "qdrant & uvicorn main:app --host 0.0.0.0 --port 7860"]
 
 
 

qudrant_api

@@ -0,0 +1 @@
+eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJhY2Nlc3MiOiJtIn0.Q6rLdYDzVyr10B4AdYJHcPp9pCqWG7yhQ-NNmfWZqg8

rag/repository.py

@@ -5,8 +5,11 @@ from qdrant_client.http.models import ScoredPoint
 
 class VectorRepository: 
     def __init__(self, host: str = "https://ahmed-eisa-qdrant-db.hf.space", port: int = 6333) -> None:
-        self.db_client = AsyncQdrantClient(host=host, port=port)
-
+        # self.db_client = AsyncQdrantClient(host=host, port=port)
+        self.db_client = AsyncQdrantClient(
+                url="https://e8342d34-1b50-48e3-95e2-d4eacd0755eb.us-east4-0.gcp.cloud.qdrant.io:6333", 
+                api_key="eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJhY2Nlc3MiOiJtIn0.Q6rLdYDzVyr10B4AdYJHcPp9pCqWG7yhQ-NNmfWZqg8",
+                )
     async def create_collection(self, collection_name: str, size: int) -> bool: 
         vectors_config = models.VectorParams(
             size=size, distance=models.Distance.COSINE