worked on gradio inteface for chatbot experimenter

config/settings.py

@@ -0,0 +1 @@
+EMBEDDINGS_MODEL_NAME = "text-embedding-3-large"

qdrant_manager.py → src/utils/qdrant_manager.py

@@ -8,11 +8,11 @@ from langchain_openai import OpenAIEmbeddings
 from qdrant_client import QdrantClient
 from qdrant_client.models import Distance, VectorParams
 
-import config as config
+from config import settings
 
 # Qdrant Collections Params
 
-openai_embeddings = OpenAIEmbeddings(model=config.EMBEDDINGS_MODEL_NAME)
+openai_embeddings = OpenAIEmbeddings(model=settings.EMBEDDINGS_MODEL_NAME)
 QDRANT_COLLECTIONS_PARAMS = {'openai_large_chunks_1500char': {'collection_name': 'openai_large_chunks_1500char', 
                                                               'embeddings_model_name': 'text-embedding-3-large',
                                                               'vector_size': 3072,
@@ -42,8 +42,8 @@ class QdrantManager:
     ):
         self.collection_name = collection_name
         self.embeddings = embeddings or QDRANT_COLLECTIONS_PARAMS[collection_name]['embeddings_model']
-        self.url = url or os.getenv("QDRANT_URL") or config[collection_name].get('url')
-        self.api_key = api_key or os.getenv("QDRANT_API_KEY") or config[collection_name].get('api_key')
+        self.url = url or os.getenv("QDRANT_URL")
+        self.api_key = api_key or os.getenv("QDRANT_API_KEY")
         self.vector_size = vector_size or QDRANT_COLLECTIONS_PARAMS[collection_name]['vector_size']
         self.distance = distance or QDRANT_COLLECTIONS_PARAMS[collection_name]['distance']