Updated user interview readme

e2e/READMEE.md

@@ -1,26 +1,29 @@
 # Guide:
 
+0- Clone this project
+
+```bash
+git clone --depth 1 --branch feature/youtube-video-e2e-example https://github.com/zenml-io/zenml-projects.git && cd zenml-projects/e2e
+```
+
 1- Create a virtual environment and activate it:
 ```bash
 python3 -m venv .venv
 source .venv/bin/activate
 ```
 
-2- Install ZenML:
+2- Install ZenML and requirements:
 ```bash
-pip install zenml
+pip install -r requirements.txt
 ```
 
-3- Make a ZenML Cloud account and create a new tenant
-
 4- Connect your local ZenML to the cloud:
 
-5- Install the requirements and integrations:
 ```bash
-zenml integration install mlflow sklearn evidently bentoml
+zenml connect --url <YOUR_TENANT_URL>
 ```
 
-6- Register the local stack components and local stack:
+5- Register the local stack components and local stack:
 ```bash
 zenml experiment-tracker register -f mlflow local_mlflow_tracker && \ 
 zenml data-validator register -f evidently evidently_data_validator && \
@@ -29,14 +32,14 @@ zenml stack register -a default -o default -e local_mlflow_tracker -dv evidently
 zenml stack set local_stack
 ```
 
-7- Let's run the pipeline:
+6- Let's run the pipeline:
 ```bash
 python run.py --training
 ```
 
-8- Promotion of the model:
+7- Promotion of the model:
 
-9- Let's deploy the model:
+8- Let's deploy the model:
 ```bash
 python run.py --deployment
 ```