It structures the script for direct use with the Hugging Face text-to-speech model.
Configured with Aggregate, Chain LLM, Filter, Html, and additional nodes. Review the connections and setup before adapting this template.
Node categories in this workflow
- Trigger
- Transform
- Web / API
- Routing
- AI & models
Icons describe general node roles, inferred from node types. Inspect the parameters for the configured action.
Drag to pan; use + and − to zoom. Reconstructed from the exported node positions; nothing runs here. Dashed lines represent non-main connections. Full node names and notes appear below.
How it works
The exported workflow contains the following configured nodes. Their connections are shown above; inspect the JSON for the complete logic, expressions, and external actions.
| Node | Category | Type | Operation |
|---|---|---|---|
| When clicking ‘Test workflow’ | Trigger | Manual Trigger | See node parameters |
| Split Out | Transform | Split Out | See node parameters |
| Extract News Block | Transform | Html | extractHtmlContent |
| Extract News Content | Transform | Html | extractHtmlContent |
| Aggregate | Transform | Aggregate | See node parameters |
| Fetch BBC News Detail | Web / API | HTTP Request | See node parameters |
| Extract Detail | Transform | Html | extractHtmlContent |
| Filter Empty Detail | Routing | Filter | See node parameters |
| If script exists | Routing | If | See node parameters |
| Basic Podcast LLM Chain | AI & models | Chain LLM | See node parameters |
| Gemini | AI & models | LM Chat Google Gemini | See node parameters |
| Output Parser | Transform | Output Parser Structured | See node parameters |
| News Classifier | AI & models | Text Classifier | See node parameters |
| Fetch BBC News Page | Web / API | HTTP Request | See node parameters |
| Limit 10 Items | Transform | Limit | See node parameters |
| Hugging Face Text-to-Speech. | Web / API | HTTP Request | POST |
Setup
- Download the JSON and import it into an isolated n8n instance. Leave the workflow inactive.
- Connect your own credentials through n8n’s credential store. Replace
REPLACE_WITH_*values with your resource identifiers. - Inspect API destinations, Code nodes, database queries, file paths, and outbound actions.
- Run with synthetic data and harmless destinations. Enable triggers only after checking the actual outputs.
Requirements
An n8n instance with the listed node types and compatible versions. Service-connected workflows may require accounts, credentials, or paid APIs.
Credential types declared in the source
googlePalmApihuggingFaceApi
Workflow notes
3rd Party Application Requirements:
3rd Party Application Requirements:
Gemini
You've already set up a Gemini LLM. No access token is needed for this.
Hugging Face
You'll need an access token for the Hugging Face text-to-speech model
It structures the script for direct use with the Hugging Face text-to-speech model.
It structures the script for direct use with the Hugging Face text-to-speech model.
Purpose and structure
This folder contains the It structures the script for direct use with the Hugging Face text-to-speech model. workflow. Its executable nodes use aggregate, chainLlm, filter, html, httpRequest, if, limit, lmChatGoogleGemini, manualTrigger, outputParserStructured, splitOut, textClassifier. The table and connection map below are derived from the JSON, not an inferred guarantee of behavior.
Setup
Import inactive. Configure your own credentials and replace REPLACE_WITH_* values. Review external destinations and Code nodes before running.
Entry points
When clicking ‘Test workflow’
Verification
Sanitized source candidate; not runtime-tested. This overview is generated from node metadata. Read the folder README for the connection map, credential types, and license.
Attribution
https://github.com/Zie619/n8n-workflows/blob/94007c1445d9258a7da116646b79473e7c7c3282/workflows/Splitout/0731_Splitout_Limit_Create_Webhook.json MIT; preserve source notices.
Canvas section labels
These name areas of the original canvas; they do not include explanatory instructions.
- This node fetches the main BBC News page, which contains links to various news articles.
- This node uses a Gemini LLM to classify news articles based on their titles and descriptions. It determines if the content is suitable for a podcast.
- This node fetches the detailed content of the news articles that were classified as suitable for a podcast.
- This node uses a Gemini LLM to convert the news articles into a podcast script.
- It structures the script for direct use with the Hugging Face text-to-speech model.