Prerequisite You should have an API key from AssemblyAI and have it stored in a .env file.

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Introduction

This guide demonstrates how to set up a Streamlit app to transcribe MP3 audio files using AssemblyAI. You’ll learn how to set up your environment, configure your API key, and create a simple app to transcribe audio from a given URL.

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Setup

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Step 1: Install Required Packages

First, install the necessary packages using pip:

pip install streamlit assemblyai python-dotenv

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Step 2: Create a .env File

Create a .env file in the project root with your AssemblyAI API key:

ASSEMBLY_AI_API_KEY=your_assemblyai_api_key

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Step 3: Create the Python Script

Create a Python script named main.py with the following content:

transcribe-mp3-streamlit-snippet.mdx
import streamlit as st
import assemblyai as aai
import os
from dotenv import load_dotenv

# Load environment variables from .env file
load_dotenv()

# Get API key from environment variables
ASSEMBLYAI_API_KEY = os.getenv('ASSEMBLYAI_API_KEY')
aai.settings.api_key = ASSEMBLYAI_API_KEY

def transcribe_audio(audio_url):
    # Create a Transcriber object
    transcriber = aai.Transcriber()

    # Transcribe the audio file from the URL
    transcript = transcriber.transcribe(audio_url)
    
    paragraphs = transcript.get_paragraphs()
    return paragraphs

st.title('MP3 Transcription using AssemblyAI')

# MP3 URL Input
mp3_url = st.text_input('Enter MP3 URL')

if st.button('Transcribe'):
    if not mp3_url:
        st.error('Please enter a valid MP3 URL.')
    else:
        with st.spinner('Transcribing...'):
            # Transcribe the audio file using the URL
            paragraphs = transcribe_audio(mp3_url)
            for paragraph in paragraphs:
                st.write(paragraph.text)

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Step 4: Run the Streamlit App

Ensure you have the .env file in the same directory as the script. Then, execute the Streamlit app:

streamlit run main.py

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Conclusion

You have successfully set up a Streamlit app to transcribe MP3 audio files using AssemblyAI! This guide provided a basic example to get you started. You can now expand on this by customizing the transcription process and enhancing the app’s functionality.

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