https://github.com/dataprofessor/realtime-transcription
https://github.com/dataprofessor/realtime-transcription
Last synced: about 1 year ago
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- Host: GitHub
- URL: https://github.com/dataprofessor/realtime-transcription
- Owner: dataprofessor
- Created: 2022-03-16T05:25:04.000Z (over 4 years ago)
- Default Branch: main
- Last Pushed: 2023-01-16T22:36:26.000Z (over 3 years ago)
- Last Synced: 2025-04-05T07:41:31.149Z (over 1 year ago)
- Language: Python
- Size: 6.84 KB
- Stars: 40
- Watchers: 2
- Forks: 29
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# realtime-transcription
# Watch the tutorial video
[How to Build a Real-Time Transcription Web App in Python using AssemblyAI and Streamlit](https://youtu.be/Kj0JtjAxxKA)
# 1. Obtain the AssemblyAI API key
Obtain your free [AssemblyAI API key](https://www.assemblyai.com/?utm_source=youtube&utm_medium=social&utm_campaign=dataprofessor_realtime).
# 2. Running the real-time transcription web app
To recreate this web app on your own computer, do the following.
### Create conda environment (Optional)
Firstly, we will create a conda environment called *transcription*
```bash
conda create -n transcription python=3.9
```
Secondly, we will login to the *transcription* environment
```bash
conda activate transcription
```
### Download GitHub repo
```bash
git clone https://github.com/dataprofessor/realtime-transcription
```
### Pip install libraries
```bash
pip install -r requirements.txt
```
### Launch the app
```bash
streamlit run streamlit_app.py
```