https://github.com/bhavik-jikadara/audio-to-text

The "Audio to Text Transcription with AssemblyAI and Streamlit" project is a web application that allows users to upload audio files and convert them into text using the AssemblyAI API.
https://github.com/bhavik-jikadara/audio-to-text

audio-processing audio-to-text audio-transcription streamlit streamlit-webapp text-transcription user-interface

Last synced: 6 days ago
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The "Audio to Text Transcription with AssemblyAI and Streamlit" project is a web application that allows users to upload audio files and convert them into text using the AssemblyAI API.

• Host: GitHub
• URL: https://github.com/bhavik-jikadara/audio-to-text
• Owner: Bhavik-Jikadara
• Created: 2024-05-27T12:28:00.000Z (6 months ago)
• Default Branch: main
• Last Pushed: 2024-06-08T05:59:43.000Z (5 months ago)
• Last Synced: 2024-06-08T06:46:30.790Z (5 months ago)
• Topics: audio-processing, audio-to-text, audio-transcription, streamlit, streamlit-webapp, text-transcription, user-interface
• Language: Python
• Homepage: https://audiotwotext.streamlit.app/
• Size: 4.35 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • Security: SECURITY.md

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README

        
# Audio to Text Transcription with [AssemblyAI](https://www.assemblyai.com/) and [Streamlit](https://streamlit.io/)

The "Audio to Text Transcription with [AssemblyAI](https://www.assemblyai.com/) and [Streamlit](https://streamlit.io/)" project is a web application that allows users to upload audio files and convert them into text using the AssemblyAI API. This project demonstrates the integration of AssemblyAI's powerful speech-to-text capabilities with the interactive features of Streamlit, a popular framework for creating data applications in Python.

![alt text](./src/user_interface.png)

## Objectives

- **User-Friendly Interface**: Provide a simple and intuitive web interface for users to upload audio files and receive transcriptions.

- **Real-Time Transcription**: Utilize AssemblyAI's API to convert audio to text in real-time.

- **Interactive Features**: Allow users to play the uploaded audio file within the application and view the transcription results.

## Key Features

- **Audio File Upload**: Users can upload audio files in various formats including WAV, MP3, and M4A.

- **API Integration**: Seamless integration with AssemblyAI API for uploading audio files and fetching transcription results.

- **Real-Time Feedback**: Display a progress spinner while the transcription is being processed and show the transcription result once completed.

- **Audio Playback**: Allow users to play the uploaded audio file directly in the application.

- **Error Handling**: Provide appropriate feedback in case of transcription failures.

## Implementation Steps

#### Step 1: Clone the repository

    $ git clone https://github.com/Bhavik-Jikadara/Audio-To-Text.git

    $ cd Audio-To-Text/

#### Step 2: Create a virtualenv (windows user)

    $ pip install virtualenv

    $ virtualenv venv

    $ source venv/Scripts/activate

#### Step 3: Install the requirements libraries using pip

    $ pip install -r requirements.txt

#### Step 4: Type this command and run the project:

    $ streamlit run streamlit_app.py

## Follow:

* Linkedin Link: https://www.linkedin.com/in/bhavikjikadara

* Github Link: https://github.com/Bhavik-Jikadara

* Facebook Link: https://www.facebook.com/Bhavikjikadara07

* Instagram Link: https://www.instagram.com/bhavikjikadara/

* twitter Link: https://twitter.com/BhavikJikadara1

##  Subscribe

* https://www.youtube.com/channel/UC7Bp_sYQmAryrrPqvUp6PwQ

##  Donate & Support us

* https://www.paypal.com/paypalme/bhavikjikadara