Langflow is a tool designed to simplify the development of applications using large language models (LLMs).
OpenAI's text-to-speech (TTS) technology is designed to convert written text into natural-sounding speech.
I used brew to install python version 3.10
I used the Visual Studio Code Python Extension to create a Python Environment
I selected Venv
I selected Python 3.10
I installed langflow
I used python -m langflow run to start langflow
I opened a browser and navigated to http://127.0.0.1:7860
I selected the Blank Flow template
I clicked in the Untitled document box and selected the Import menu item
I selected the Doc to Podcast (Langflow).json flow
I selected the Settings menu item
I selected the Global Variables menu item
I added an openai_api_key variable
The variable was listed
I added the openai_api_key value to the LLM step
added the openai_api_key value to the text-to-speech step
I clicked on the File step to select a podcast source document
I selected a Power Pages (Part 1).pdf source document
I clicked the play button on the last step and ran into an issue
I terminated langflow and used pip to install pydub. I restarted langflow.
I clicked play on the last flow step
While I was waiting I clicked the Inspect Output menu item in the Extract Block From Markdown step
I reviewed the podcast script
Once the flow finished running I reviewed the result (see below)
