Update README.md

README.md

@@ -1,46 +1,38 @@
----
-title: "PlayMyEmotions"
-emoji: "🔮"
-colorFrom: "indigo"
-colorTo: "purple"
-sdk: "streamlit"
-sdk_version: "1.19.0"
-app_file: app.py
-pinned: false
----
-
 # Play My Emotions 🎵🏰🔮
 
-This app takes a user input and suggestes songs that matches its emotions/vibes.
+![Live Demo](PlayMyEmotions.jpeg)
+
+The app is on [Hugging Face Spaces](https://huggingface.co/spaces/DjPapzin/PlayMyEmotions) 🤗
+
+This app takes a user input and suggests songs that match its emotions/vibes.
 
 Made with [DeepLake](https://www.deeplake.ai/) 🚀 and [LangChain](https://python.langchain.com/en/latest/index.html) 🦜⛓️ 
 
-We also used [upstash](https://upstash.com/) to store user inputs/emotions and recommended songs
+We also used [Upstash](https://upstash.com/) to store user inputs/emotions and recommended songs.
 
 ## How it works
 
 The application follows a sequence of steps to deliver Disney songs matching the user's emotions:
-- **User Input**: The application starts by collecting user's emotional state through a text input.
+
+- **User Input**: The application starts by collecting the user's emotional state through a text input.
 - **Emotion Encoding**: The user-provided emotions are then fed to a Language Model (LLM). The LLM interprets and encodes these emotions.
 - **Similarity Search**: These encoded emotions are utilized to perform a similarity search within our [vector database](Deep Lake Vector Store in LangChain). This database houses Disney songs, each represented as emotional embeddings.
 - **Song Selection**: From the pool of top matching songs, the application randomly selects one. The selection is weighted, giving preference to songs with higher similarity scores.
-- **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.
+- **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.
 
 ## Run it
 
 Clone this repo.
 
-create a `venv`
-
-```
+Create a `venv`:
+```bash
 python -m venv .venv
 source .venv/bin/activate
 pip install -r requirements.txt
 ```
 
-You will need the following `.env` file
-
-```bash
+You will need the following `.env` file:
+```
 OPENAI_API_KEY=<OPENAI_API_KEY>
 ACTIVELOOP_TOKEN=<ACTIVELOOP_TOKEN>
 ACTIVELOOP_ORG_ID=zuppif
@@ -48,7 +40,7 @@ UPSTASH_URL=<UPSTASH_URL>
 UPSTASH_PASSWORD=<UPSTASH_PASSWORD>
 ```
 
-If you **don't want to use upstash** set the `USE_STORAGE=False`
+If you don't want to use upstash set the `USE_STORAGE=False`
 
 Then
 
@@ -56,4 +48,4 @@ Then
 streamlit run app.py
 ```
 
-Then navitage to `http://192.168.1.181:8501`
+Then navitage to `http://192.168.1.181:8501`