Update README.md

README.md

@@ -28,8 +28,39 @@ The application follows a sequence of steps to deliver Taylor Swift songs matchi
 - **Song Retrieval**: The selected song's embedded player is displayed on the webpage for the user. Additionally, the LLM interpreted emotional state associated with the chosen song is displayed.
 
 ## Setup instructions
---TODO--
 
+### Checkout the repo
+Clone the repository using the following command:
+```
+git clone https://huggingface.co/spaces/mchockal/TaylorSwiftDJ
+```
+
+### Set Environment Variables
+You'll need to set the following variables in the `env_vars.env` file:
+
+```dotenv
+OPENAI_API_KEY=
+ACTIVELOOP_TOKEN=
+ACTIVELOOP_ORG_ID=
+MODEL = "text-embedding-ada-002"
+DATASET = <your_vector_space_for_emotions>
+UPSTASH_URL= 
+UPSTASH_PASSWORD=
+USE_STORAGE="False"
+ROOT=
+```
+
+### Install Dependencies
+Install the required dependencies using the following command:
+```
+pip install -r requirements.txt
+```
+
+### Run the Streamlit App
+Launch the Streamlit app using the following command:
+```
+streamlit run app.py
+```
 <small>_DISCLAIMER_: This project is 200% inspired by Francesco's [FairyTaleDJ](https://github.com/FrancescoSaverioZuppichini/FairytaleDJ). </small>