Audio to Text Transcription with AssemblyAI and Streamlit

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. 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.

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

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