---
title: Whisper Audio Analysis
emoji: 🚀
colorFrom: indigo
colorTo: red
sdk: gradio
sdk_version: 3.44.3
app_file: app.py
pinned: false
license: openrail
---

# Lim Kopi

This project contains a Gradio app for real-time multilingual speech recognition and sentiment analysis.

## Prerequisites

- Python 3.6 or higher
- pip (Python package installer)
- Virtualenv (optional but recommended)

## Setup

### 1. Clone the Repository:

```sh
# Make sure you have git-lfs installed (https://git-lfs.com)
git lfs install
git clone https://huggingface.co/spaces/LimKopi/Whisper-Audio-Analysis

# if you want to clone without large files – just their pointers
# prepend your git clone with the following env var:
GIT_LFS_SKIP_SMUDGE=1
```

### 2. Environment Setup

### Create virtual environment

```sh
python3 -m venv venv
```

### Set environment variables

Fill in the corresponding credentials accordingly in `.env`

```sh
cp .env.example .env
```

#### Activate the virtual environment

- **On Windows**

```sh
.\venv\Scripts\activate
```

- **On Unix/MacOs**

```sh
source venv/bin/activate
```

### 3. Install Dependencies

```sh
pip install -r requirements.txt
```

### 4. Run App

```sh
python app.py
```

Open [http://localhost:7860/](http://localhost:7860/) in your browser to access the app