Update README.md

README.md

@@ -1,15 +1,15 @@
-# Podcastfy.ai
-[![CodeFactor](https://www.codefactor.io/repository/github/souzatharsis/podcastfy/badge)](https://www.codefactor.io/repository/github/souzatharsis/podcastfy)
-[![PyPi Status](https://img.shields.io/pypi/v/podcastfy)](https://pypi.org/project/podcastfy/)
-[![Downloads](https://pepy.tech/badge/podcastfy)](https://pepy.tech/project/podcastfy)
-[![Issues](https://img.shields.io/github/issues-raw/souzatharsis/podcastfy)](https://github.com/souzatharsis/podcastfy/issues)
-[![License: CC BY-NC-SA 4.0](https://img.shields.io/badge/License-CC%20BY--NC--SA%204.0-lightgrey.svg)](https://creativecommons.org/licenses/by-nc-sa/4.0/)
-[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/python/black)
+# Podcastfy.ai demo
 
 Transforming Multi-Sourced Text into Captivating Multi-Lingual Audio Conversations with GenAI
 
 https://github.com/user-attachments/assets/f1559e70-9cf9-4576-b48b-87e7dad1dd0b
 
+Try [HuggingFace 🤗 space app](https://huggingface.co/spaces/thatupiso/Podcastfy.ai_demo) for a simple use case (URLs -> Audio).
+
+See Python package and CLI at the original [Podcastfy's github repo](www.podcastfy.ai) for full customization options.
+
+WARNING: This UI App was not as thoroughly tested as the Python package.
+
 Podcastfy is an open-source Python package that transforms web content, PDFs, and text into engaging, multi-lingual audio conversations using GenAI. 
 
 Unlike UI-based tools focused primarily on note-taking or research synthesis (e.g. NotebookLM ❤️), Podcastfy focuses on the programmatic and bespoke generation of engaging, conversational transcripts and audio from a multitude of text sources therefore enabling customization and scale.
@@ -24,82 +24,6 @@ This sample collection is also [available at audio.com](https://audio.com/thatup
 - [English] Personal website + youtube video: ([audio](https://audio.com/thatupiso/audio/tharsis-ai) | [website](https://www.souzatharsis.com) | [youtube](https://www.youtube.com/watch?v=sJE1dE2dulg))
 - [French] Website: ([audio](https://audio.com/thatupiso/audio/podcast-fr-agro) | [website](https://agroclim.inrae.fr/))
 - [Portuguese-BR] News article: ([audio](https://audio.com/thatupiso/audio/podcast-thatupiso-br) | [website](https://noticias.uol.com.br/eleicoes/2024/10/03/nova-pesquisa-datafolha-quem-subiu-e-quem-caiu-na-disputa-de-sp-03-10.htm))
-
-## Quickstart
-
-### Setup
-Before installing, ensure you have Python 3.12 or higher installed on your system.
-
-1. Install from PyPI
-
-  `$ pip install podcastfy`
-
-2. Set up your [API keys](usage/config.md)
-
-3. Ensure you have ffmpeg installed on your system, required for audio processing
-```
-sudo apt update
-sudo apt install ffmpeg
-```
-
-### Python
-```python
-from podcastfy.client import generate_podcast
-
-audio_file = generate_podcast(urls=["<url1>", "<url2>"])
-```
-### CLI
-```
-python -m podcastfy.client --url <url1> --url <url2>
-```
-
-## Usage
-
-- [Python Package](podcastfy.ipynb)
-
-- [CLI](usage/cli.md)
-
-Try [HuggingFace 🤗 space app](https://huggingface.co/spaces/thatupiso/Podcastfy.ai_demo) for a simple use case (URLs -> Audio).
-
-## Contributing
-
-Contributions are welcome! Please feel free to submit a Pull Request - see [Open Issues](https://github.com/souzatharsis/podcastfy/issues) for ideas. But even more excitingly feel free to fork the repo and create your own app! Please let me know if I could be of help.
-
-## Features
-
-- Generate engaging, AI-powered conversational content from multiple sources (URLs and PDFs)
-- Create high-quality transcripts from diverse textual information sources
-- Convert pre-existing transcript files into dynamic podcast episodes
-- Support for multiple advanced text-to-speech models (OpenAI and ElevenLabs) for natural-sounding audio
-- Support for multiple languages, enabling global content creation
-- Seamlessly integrate CLI for streamlined workflows
-
-## Example Use Cases
-
-1. **Content Summarization**: Busy professionals can stay informed on industry trends by listening to concise audio summaries of multiple articles, saving time and gaining knowledge efficiently.
-
-2. **Language Localization**: Non-native English speakers can access English content in their preferred language, breaking down language barriers and expanding access to global information.
-
-3. **Website Content Marketing**: Companies can increase engagement by repurposing written website content into audio format, providing visitors with the option to read or listen.
-
-4. **Personal Branding**: Job seekers can create unique audio-based personal presentations from their CV or LinkedIn profile, making a memorable impression on potential employers.
-
-5. **Research Paper Summaries**: Graduate students and researchers can quickly review multiple academic papers by listening to concise audio summaries, speeding up the research process.
-
-6. **Long-form Podcast Summarization**: Podcast enthusiasts with limited time can stay updated on their favorite shows by listening to condensed versions of lengthy episodes.
-
-7. **News Briefings**: Commuters can stay informed about daily news during travel time with personalized audio news briefings compiled from their preferred sources.
-
-8. **Educational Content Creation**: Educators can enhance learning accessibility by providing audio versions of course materials, catering to students with different learning styles.
-
-9. **Book Summaries**: Avid readers can preview books efficiently through audio summaries, helping them make informed decisions about which books to read in full.
-
-10. **Conference and Event Recaps**: Professionals can stay updated on important industry events they couldn't attend by listening to audio recaps of conference highlights and key takeaways.
-
-
-## License
-
-This project is licensed under the [Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License](https://creativecommons.org/licenses/by-nc-sa/4.0/).
 
 ## Disclaimer