ManualTrigger Automate

This workflow is designed for:

Content Creators: Those looking to convert news articles into engaging podcast scripts.
Journalists: Professionals seeking to automate the extraction and summarization of news content.
Podcasters: Individuals who want to streamline the process of generating scripts for their audio content.
Developers: Tech-savvy users interested in integrating news data into applications or services.
Educators: Teachers who wish to use current events for instructional purposes in a dynamic format.

This workflow addresses the challenge of efficiently transforming news articles into compelling podcast scripts. It automates the process of:

Extracting relevant news content from web pages.
Filtering out unsuitable or irrelevant articles.
Converting the extracted content into a narrative format suitable for audio presentation, ensuring an engaging listener experience.

Manual Trigger: The workflow starts when the user clicks 'Test workflow'.
Fetch BBC News Page: It retrieves the main BBC News page to access current articles.
Extract News Block: The workflow extracts news titles using HTML selectors.
Split Out: It separates the extracted news titles for further processing.
Extract News Content: Detailed content is fetched for each title, including links and descriptions.
Limit to 10 Items: The workflow restricts the number of articles processed to a maximum of 10.
News Classifier: Each article is classified based on its suitability for podcasting.
Fetch BBC News Detail: For suitable articles, detailed content is fetched.
Filter Empty Detail: It filters out any articles without sufficient content.
Aggregate: All suitable articles are aggregated into a single data structure.
Basic Podcast LLM Chain: The content is transformed into a podcast script using a language model.
If Script Exists: Checks if a script was generated before proceeding.
Hugging Face Text-to-Speech: The final script is converted into audio using a text-to-speech model.