This application allows you to automatically summarize lectures and ask questions about the lesson material. Learn how to build this application in the associated blog.

The application was tested with Python 3.10.5

You must have:

1. Python installed
2. pip installed
3. An AssemblyAI account

1. Clone this repository and cd into it

   git clone https://github.com/AssemblyAI-Examples/lemur-lecture-summarizer.git
   cd lemur-lecture-summarizer

2. Create and activate a virtual environment (optional)

   MacOS/Linux:

   python -m venv venv  # you may need to use `python3` instead
   source ./venv/bin/activate

   Windows:

   python -m venv venv  # you may need to use `python3` instead
   .\venv\Scripts\activate.bat

3. Install dependencies

   pip install -r requirements.txt

4. Set your AssemblyAI API Key (optional)

   In the .env file, replace paste-your-key-here with your AssemblyAI API key, which you can copy from your Dashboard. If you do not do this, you will be required to enter your API key in the application.

   Note that you will need to have set up billing to use this application since it utilizes LeMUR.

1. Start the app

streamlit run app.py

2. Open the app Click the link output in the terminal by the last command - the default is http://localhost:8501/

1. Enter your AssemblyAI API key if you did not follow step 4 in the Setup section

   

2. Select the lecture file

   You can use either an audio or video file, and the file can be locally stored, remotely stored (and publicly accessibly), or on YouTube.

   You can optionally add Context to provide contextualizing information about the lecture.

   

3. View the results

   Click "Submit" and wait for the results.

   Processing time will depend on the length of the file - hour long lectures may take several minutes to process.

   

4. Ask a question (optional)

   You can ask questions about the course content for further clarification