fixes

course/module-3/Makefile

@@ -17,7 +17,7 @@ local-bytewax: # Run bytewax pipeline
 	RUST_BACKTRACE=full poetry run python -m bytewax.run data_flow/bytewax_pipeline 
 
 generate-dataset: # Generate dataset for finetuning and version it in CometML
-	poetry run python finetuning/generate_data.py
+	python finetuning/generate_data.py
 
 local-test-retriever: # Test retriever
 	poetry run python retriever.py

course/module-3/README.md

@@ -128,12 +128,12 @@ To configure your environment for Qdrant, set the following variables:
 - `QDRANT_CLOUD_URL`: The URL for accessing Qdrant Cloud services.
 - `QDRANT_APIKEY`: The API key for authenticating with Qdrant Cloud.
 
-Please check this article to learn how to obtain these variables (https://qdrant.tech/documentation/cloud/quickstart-cloud/)
+Please check this article to learn how to obtain these variables (https://qdrant.tech/documentation/cloud/quickstart-cloud/?utm_source=decodingml&utm_medium=referral&utm_campaign=llm-course)
 
 Additionally, you can control the connection mode (Cloud or Docker) using a setting in your configuration file. More details can be found in db/qdrant.py :
 
 ```python
-QDRANT_CLOUD: True  # Set to False to use Docker setup
+USE_QDRANT_CLOUD: True  # Set to False to use Docker setup
 ```
 
 
@@ -152,7 +152,7 @@ QDRANT_DATABASE_HOST="localhost"
 QDRANT_DATABASE_PORT=6333
 QDRANT_APIKEY= your-key
 QDRANT_CLOUD_URL=your-url
-QDRANT_CLOUD=False
+USE_QDRANT_CLOUD=False
 
 # MQ config
 RABBITMQ_DEFAULT_USERNAME=guest

course/module-3/finetuning/generate_data.py

@@ -1,10 +1,7 @@
 import json
 import logging
-import sys
-from pathlib import Path
-
-sys.path.append(str(Path(__file__).resolve().parent.parent))
 
+# sys.path.append(str(Path(__file__).resolve().parent.parent))
 from comet_ml import Artifact, Experiment
 
 from db.qdrant import connection as client