Update README

README.md

@@ -9,9 +9,28 @@ app_file: src/app.py
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-# social-stat
+
+# Social-Stat: A Streamlit Web App for Social Media Analysis
 Streamlit web application for social network analysis.
 
+[Hugging Face Space](https://huggingface.co/spaces/molokhovdmitry/social-stat)
+
+![social-stat](social-stat.gif)
+## Features
+
+- **Emotion Prediction**: Utilizes a text classification model to predict emotions in video comments.
+- **Topic Modeling**: Applies Non-negative Matrix Factorization (NMF) to identify and visualize the main topics discussed in the comments.
+- **t-SNE Visualization**: Provides a 2D and 3D visualization of the comment data, highlighting patterns and clusters.
+- **Language Detection**: Detects the language of comments to understand the global reach of the video and visualizes the distribution of languages on a **plotly Choropleth** map.
+
+## How to Use
+
+1. **Enter a YouTube Video URL or ID**: Input the URL or ID of the YouTube video.
+2. **Select Analysis Options**: Choose whether to predict emotions, perform NMF, visualize with t-SNE, and display a language map.
+3. **Adjust Parameters**: Customize the analysis by adjusting parameters such as the number of NMF components, t-SNE perplexity.
+4. **Analyze**: Click the "Analyze" button to start the analysis.
+
+
 # Installation and Running
 ```
 git clone https://github.com/molokhovdmitry/social-stat