{
"meta": {
"instanceId": "5287ddd2fa569cf8e4c5a724666246a45305c032a19bb677c9e4b963d365f84b",
"templateCredsSetupCompleted": true
},
"nodes": [
{
"id": "95c798a4-bc34-4219-b7c3-6b4a4070886b",
"name": "When clicking \u2018Test workflow\u2019",
"type": "n8n-nodes-base.manualTrigger",
"position": [
-320,
1080
],
"parameters": [],
"typeVersion": 1
},
{
"id": "09987590-1ec2-48d4-aa04-32b85addd9e6",
"name": "Split Out",
"type": "n8n-nodes-base.splitOut",
"position": [
420,
1080
],
"parameters": {
"options": [],
"fieldToSplitOut": "newsTitle"
},
"typeVersion": 1
},
{
"id": "758e3f60-01dc-46c7-bb53-7460eaed92e3",
"name": "Extract News Block",
"type": "n8n-nodes-base.html",
"position": [
220,
1080
],
"parameters": {
"options": [],
"operation": "extractHtmlContent",
"extractionValues": {
"values": [
{
"key": "newsTitle",
"cssSelector": ".eGcloy",
"returnArray": true,
"returnValue": "html"
}
]
}
},
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},
{
"id": "20440f9a-a40c-4419-af6d-383de041d078",
"name": "Extract News Content",
"type": "n8n-nodes-base.html",
"position": [
600,
1080
],
"parameters": {
"options": [],
"operation": "extractHtmlContent",
"dataPropertyName": "newsTitle",
"extractionValues": {
"values": [
{
"key": "title",
"cssSelector": "h2"
},
{
"key": "link",
"attribute": "href",
"cssSelector": "a",
"returnValue": "attribute"
},
{
"key": "description",
"cssSelector": ".kYtujW"
}
]
}
},
"typeVersion": 1.1999999999999999555910790149937383830547332763671875
},
{
"id": "47a50ada-127a-4037-8fe7-41c0caebb3de",
"name": "Aggregate",
"type": "n8n-nodes-base.aggregate",
"position": [
2000,
1060
],
"parameters": {
"options": [],
"aggregate": "aggregateAllItemData"
},
"typeVersion": 1
},
{
"id": "33050a43-842d-464d-b227-a6c2c870c0af",
"name": "Fetch BBC News Detail",
"type": "n8n-nodes-base.httpRequest",
"position": [
1400,
1060
],
"parameters": {
"url": "=https:\/\/www.bbc.com{{ $json.link }}",
"options": []
},
"typeVersion": 4.20000000000000017763568394002504646778106689453125
},
{
"id": "646bfe6b-cac6-4177-9b59-dc205b44b7eb",
"name": "Extract Detail",
"type": "n8n-nodes-base.html",
"position": [
1600,
1060
],
"parameters": {
"options": [],
"operation": "extractHtmlContent",
"extractionValues": {
"values": [
{
"key": "newsDetail",
"cssSelector": ".dlWCEZ .fYAfXe",
"returnArray": true
}
]
}
},
"typeVersion": 1.1999999999999999555910790149937383830547332763671875
},
{
"id": "6e14f528-1e94-411f-8601-3c713d492aa9",
"name": "Filter Empty Detail",
"type": "n8n-nodes-base.filter",
"position": [
1800,
1060
],
"parameters": {
"options": [],
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "7066e88c-03da-4196-b1c5-80bc16fa3fc6",
"operator": {
"type": "array",
"operation": "notEmpty",
"singleValue": true
},
"leftValue": "={{ $json.newsDetail }}",
"rightValue": ""
}
]
}
},
"typeVersion": 2.20000000000000017763568394002504646778106689453125
},
{
"id": "5863e420-2392-468a-8e03-5d4c273168e0",
"name": "If script exists",
"type": "n8n-nodes-base.if",
"position": [
2620,
1060
],
"parameters": {
"options": [],
"conditions": {
"options": {
"version": 1,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "2e968b41-88f7-4b28-9837-af50ae130979",
"operator": {
"type": "string",
"operation": "exists",
"singleValue": true
},
"leftValue": "=voice_id {{ $json.output.podcast_script }}",
"rightValue": ""
}
]
}
},
"typeVersion": 2
},
{
"id": "90b370d3-5712-401d-b769-490014e2b17c",
"name": "Basic Podcast LLM Chain",
"type": "@n8n\/n8n-nodes-langchain.chainLlm",
"position": [
2200,
1060
],
"parameters": {
"text": "=News Articles:{{ $json.data.map(item => item.newsDetail) }}",
"messages": {
"messageValues": [
{
"message": "= \n*Convert the following one or multiple news articles into a podcast script formatted for direct use in ElevenLabs. If there is only one news piece, transform it into a compelling and engaging narrative. If multiple news stories are provided, structure them like a news bulletin, presenting each piece sequentially with smooth transitions. Avoid a formal or dry tone; instead, use a natural, conversational, and warm style. The podcast should feel dynamic, engaging, and informative while maintaining a storytelling approach.* \n\n- *Ensure the script is formatted as a single, continuous text block suitable for direct speech synthesis.* \n- *Start with an engaging introduction that sets the tone for the podcast.* \n- *Narrate each news story smoothly, with natural transitions between segments.* \n- *End with a closing statement that leaves the listener informed and engaged.* \n- *Output must be in JSON format, with the full script as a single string under the key `\"podcast_script\"`.* \n\n---\n\n### **Input Format:** \n```json\n{\n \"news_articles\": [\n {\n \"title\": \"First News Title\",\n \"content\": \"First news article content...\"\n },\n {\n \"title\": \"Second News Title\",\n \"content\": \"Second news article content...\"\n }\n ]\n}\n```\n\n---\n\nExpected JSON Output Format:\n \n{\n \"podcast_script\": \"Welcome to today's news podcast! We have some exciting stories lined up for you. Let's start with our first story. [First news article content rewritten in a conversational, engaging style]... Moving on to our next topic... [Second news article content rewritten dynamically]... That\u2019s all for today\u2019s news bulletin! Stay informed and see you next time.\"\n}\n\n\n "
}
]
},
"promptType": "define",
"hasOutputParser": true
},
"typeVersion": 1.5
},
{
"id": "24c212c2-6d06-4fe1-841b-bc52a21060b1",
"name": "Gemini",
"type": "@n8n\/n8n-nodes-langchain.lmChatGoogleGemini",
"position": [
1600,
1600
],
"parameters": {
"options": [],
"modelName": "models\/gemini-2.0-pro-exp-02-05"
},
"credentials": {
"googlePalmApi": {
"id": "5x46RlCURyTUmbGW",
"name": "Google Gemini(PaLM) Api account 2"
}
},
"typeVersion": 1
},
{
"id": "02e9f1ee-dc80-403c-8c19-0e6f918cf8ed",
"name": "Output Parser",
"type": "@n8n\/n8n-nodes-langchain.outputParserStructured",
"position": [
2360,
1280
],
"parameters": {
"jsonSchemaExample": "{\n\t\"podcast_script\": \"California\"\n}"
},
"typeVersion": 1.1999999999999999555910790149937383830547332763671875
},
{
"id": "395ddac7-b2a4-48c5-b2d3-d21078d29c54",
"name": "News Classifier",
"type": "@n8n\/n8n-nodes-langchain.textClassifier",
"position": [
980,
1080
],
"parameters": {
"options": [],
"inputText": "=I will only send the headline as input:\n{{ $json.title }} {{ $json.description }}",
"categories": {
"categories": [
{
"category": "Suitable",
"description": "=Role: News Content Suitability Assessor (Positive)\n\nTask: Determine if the given news headline is highly likely to be suitable for storytelling, focusing on positive and engaging aspects.\n\nCriteria (Focus on what makes it suitable):\n\nCuriosity and Interest: Does the headline present an event, discovery, or information that is likely to pique the curiosity of a broad audience? Does it have a \"wow\" factor or relate to a significant trend?\n\nStorytelling Potential: Does the headline lend itself well to narrative expansion? Could it be the start of an engaging story, a key point in a developing situation, or a surprising conclusion?\n\nPositive or Neutral Tone: Is the headline generally positive, neutral, or focused on solutions\/progress? (Avoid headlines that primarily focus on conflict, negativity, or routine events).\n\nRelevance: Does the headline touch upon topics that are relevant to a wide audience, such as health, science, technology, interesting discoveries, or positive global events?\n\nOutput Format:\n\nHeadline: [Original news headline]\n\nSuitable: [Yes \/ No] (Only say \"Yes\" if strongly confident)\n\nReason (Brief): [Briefly explain why it's likely suitable, focusing on the positive aspects.]\n\nExample (for the LLM to learn from):\n\nHeadline: \"Scientists Discover New Species of Butterfly in Amazon Rainforest\"\n\nSuitable: Yes\n\nReason: Discovery, biodiversity, positive natural event, intriguing.\n\nHeadline: \"Stock Market Experiences Minor Fluctuations\"\n\nSuitable: No\n\nReason: Routine economic event, lacks general interest."
},
{
"category": "Not Suitable",
"description": "=Role: News Content Filter (Negative)\n\nTask: Identify news headlines that are clearly unsuitable for storytelling due to negative content, lack of general interest, or ethical concerns.\n\nCriteria (Focus on what makes it unsuitable):\n\nNegative Content: Does the headline contain violence, crime, accidents, death, suffering, or other traumatic events?\n\nPolitical\/Economic Routine: Does the headline focus on routine political announcements, standard economic reports (like minor market changes), or internal political disputes?\n\nDivisive or Harmful Content: Does the headline contain hate speech, discrimination, strong political bias, or potentially harmful misinformation?\n\nLack of General Interest: Is the headline highly niche, specific to a very small group, or about a topic unlikely to interest a broad audience?\n\nOutput Format:\n\nHeadline: [Original news headline]\n\nNot Suitable: [Yes \/ No] (Only say \"Yes\" if strongly confident)\n\nReason (Brief): [Briefly explain why it's clearly unsuitable.]\n\nExample (for the LLM to learn from):\n\nHeadline: \"Local Politician Announces Campaign Platform\"\n\nNot Suitable: Yes\n\nReason: Routine political event, lacks broad appeal.\n\nHeadline: \"Car Crash Results in Minor Injuries\"\n\nNot Suitable: Yes\n\nReason: Negative event (accident), though thankfully not severe."
}
]
}
},
"typeVersion": 1
},
{
"id": "13fac9ed-688c-4af9-a810-d49a74b98c22",
"name": "Fetch BBC News Page",
"type": "n8n-nodes-base.httpRequest",
"position": [
-60,
1080
],
"parameters": {
"url": "https:\/\/www.bbc.com\/",
"options": [],
"responseFormat": "string"
},
"typeVersion": 1
},
{
"id": "e2aa33f3-aa7c-4a9d-ac3c-32f9f5872606",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
-120,
920
],
"parameters": {
"width": 500,
"height": 340,
"content": "## This node fetches the main BBC News page, which contains links to various news articles."
},
"typeVersion": 1
},
{
"id": "0821b944-44cb-41ed-b5ff-70f99018c5dc",
"name": "Sticky Note1",
"type": "n8n-nodes-base.stickyNote",
"position": [
960,
840
],
"parameters": {
"color": 2,
"width": 340,
"height": 360,
"content": "## 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.\n\n"
},
"typeVersion": 1
},
{
"id": "d32b2ebb-0a4d-4d27-9262-894ab7a65cce",
"name": "Sticky Note2",
"type": "n8n-nodes-base.stickyNote",
"position": [
1360,
820
],
"parameters": {
"color": 3,
"width": 400,
"height": 420,
"content": "## This node fetches the detailed content of the news articles that were classified as suitable for a podcast."
},
"typeVersion": 1
},
{
"id": "e6e1d180-b2c2-4b62-a611-7c039037ed69",
"name": "Sticky Note3",
"type": "n8n-nodes-base.stickyNote",
"position": [
2180,
880
],
"parameters": {
"color": 4,
"width": 340,
"height": 320,
"content": "## This node uses a Gemini LLM to convert the news articles into a podcast script.\n"
},
"typeVersion": 1
},
{
"id": "d8776355-967d-4875-b948-25792f6f38ec",
"name": "Sticky Note4",
"type": "n8n-nodes-base.stickyNote",
"position": [
2840,
920
],
"parameters": {
"color": 5,
"width": 360,
"height": 300,
"content": "## It structures the script for direct use with the Hugging Face text-to-speech model."
},
"typeVersion": 1
},
{
"id": "631a2caf-c640-41df-9215-2b542de51ccb",
"name": "Sticky Note5",
"type": "n8n-nodes-base.stickyNote",
"position": [
-660,
740
],
"parameters": {
"width": 460,
"height": 280,
"content": "## 3rd Party Application Requirements:\n\n### Gemini \nYou've already set up a Gemini LLM. No access token is needed for this.\n### Hugging Face\n You'll need an access token for the Hugging Face text-to-speech model \n"
},
"typeVersion": 1
},
{
"id": "655e6799-5b7c-4747-b3a9-d01b47f5cba8",
"name": "Limit 10 Items",
"type": "n8n-nodes-base.limit",
"position": [
800,
1080
],
"parameters": {
"maxItems": 10
},
"typeVersion": 1
},
{
"id": "64d011d2-9c51-4f1f-a3b8-edf3fcbc6710",
"name": "Hugging Face Text-to-Speech.",
"type": "n8n-nodes-base.httpRequest",
"position": [
2900,
1060
],
"parameters": {
"url": "https:\/\/router.huggingface.co\/hf-inference\/models\/facebook\/mms-tts-eng",
"method": "POST",
"options": [],
"sendBody": true,
"authentication": "predefinedCredentialType",
"bodyParameters": {
"parameters": [
{
"name": "inputs",
"value": "={{ $json.output.podcast_script }}"
}
]
},
"nodeCredentialType": "huggingFaceApi"
},
"credentials": {
"huggingFaceApi": {
"id": "FF4PO5RYOJqZ0vhQ",
"name": "HuggingFaceApi account"
}
},
"typeVersion": 4.20000000000000017763568394002504646778106689453125
}
],
"pinData": [],
"connections": {
"Gemini": {
"ai_languageModel": [
[
{
"node": "News Classifier",
"type": "ai_languageModel",
"index": 0
},
{
"node": "Basic Podcast LLM Chain",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Aggregate": {
"main": [
[
{
"node": "Basic Podcast LLM Chain",
"type": "main",
"index": 0
}
]
]
},
"Split Out": {
"main": [
[
{
"node": "Extract News Content",
"type": "main",
"index": 0
}
]
]
},
"Output Parser": {
"ai_outputParser": [
[
{
"node": "Basic Podcast LLM Chain",
"type": "ai_outputParser",
"index": 0
}
]
]
},
"Extract Detail": {
"main": [
[
{
"node": "Filter Empty Detail",
"type": "main",
"index": 0
}
]
]
},
"Limit 10 Items": {
"main": [
[
{
"node": "News Classifier",
"type": "main",
"index": 0
}
]
]
},
"News Classifier": {
"main": [
[
{
"node": "Fetch BBC News Detail",
"type": "main",
"index": 0
}
]
]
},
"If script exists": {
"main": [
[
{
"node": "Hugging Face Text-to-Speech.",
"type": "main",
"index": 0
}
],
[]
]
},
"Extract News Block": {
"main": [
[
{
"node": "Split Out",
"type": "main",
"index": 0
}
]
]
},
"Fetch BBC News Page": {
"main": [
[
{
"node": "Extract News Block",
"type": "main",
"index": 0
}
]
]
},
"Filter Empty Detail": {
"main": [
[
{
"node": "Aggregate",
"type": "main",
"index": 0
}
]
]
},
"Extract News Content": {
"main": [
[
{
"node": "Limit 10 Items",
"type": "main",
"index": 0
}
]
]
},
"Fetch BBC News Detail": {
"main": [
[
{
"node": "Extract Detail",
"type": "main",
"index": 0
}
]
]
},
"Basic Podcast LLM Chain": {
"main": [
[
{
"node": "If script exists",
"type": "main",
"index": 0
}
]
]
},
"When clicking \u2018Test workflow\u2019": {
"main": [
[
{
"node": "Fetch BBC News Page",
"type": "main",
"index": 0
}
]
]
}
}
}
