Drupal HuggingFace Integration: Using AI in Your Drupal 10 Site
In this blog post, I explored the exciting intersection of Artificial Intelligence (AI) and Drupal 10, the latest version of the open-source content management framework. We’ll learn about two new Drupal 10 AI modules that can help businesses to think through how they can apply AI in their website and improve the user experience, leveraging the power of two powerful open-source technologies: Drupal and Hugging Face.
I’m excited to introduce two new Drupal modules that are very promising when it comes to using AI in Drupal.
AI Interpolator MediaWiki: Drupal Huggingface Integration
The AI Interpolator MediaWiki integrates search terms or product names into large text fields by fetching data from Wikipedia. Remarkably versatile, AI Interpolator MediaWiki module is designed to be MediaWiki agnostic, meaning it could potentially be utilized on various platforms like Fandom.com or Wikiquote, despite being pre-configured to default to Wikipedia. This innovation addresses a common challenge in AI technology: the occasional inaccuracies and hallucinations in generating next tokens due to training limitations.
Wikipedia is a well-established platform with a rigorous editing process. Therefore, by fetching data from trusted sources like Wikipedia, the AI Interpolator MediaWiki module in Drupal gains access to a vast amount of information that’s generally considered accurate and helps you avoid fabricating information and nonsensical hallucinations. Moreover, by providing a rich context, the AI Interpolator MediaWiki drupal module aids in producing more accurate and reliable outputs. This goes a long way in helping your content writers doing research and generating factually accurate information using AI. The applications are endless.
The Hugginface Module for Drupal Huggingface Integration
The Hugginface Drupal module integrates your Drupal website with the Huggingface platform via an API. The Hugginface module is a gateway to utilizing the plethora of models available through Hugging Face within the Drupal 10 interface, enhancing your website’s AI capabilities. If you’re working with Hugging Face models or planning to contribute, I encourage you to connect with Marcus Johansson for potential collaboration and maintenance opportunities.
This integration is especially crucial for those seeking advanced AI applications to add or enhance AI features in their websites, as it requires familiarity with Hugging Face’s platform and the selection of appropriate models from the extensive library available.
Top 10 Hugging Face’s pre-trained models that can be used on your Drupal site via the Huggingface module
1. AutoTokenizer & AutoModelForSequenceClassification (Text Classification)
- Sentiment analysis for customer feedback.
- Spam filtering for user-generated content
- Topic classification for content organization
2. T5 For Conditional Generation (Text Summarization)
- Generate automatic summaries of articles or product descriptions
- Create TL;DR versions of lengthy content for busy users
3. Camembert For Masked LM (Question Answering):
- Implement a chatbot or FAQ system that answers user queries
- Personalize product recommendations based on past interactions
4. Wav2Vec2 For CTC (Speech Recognition):
- Enable voice search functionality for your SaaS platform
- Transcribe audio recordings for improved accessibility
5. GPT-2 (Text Generation):
- Generate creative content ideas like blog post intros or product descriptions
- Personalize marketing copy based on user data
6. CLIP (Image-Text Retrieval):
- Implement a visual search function for your product catalog
- Improve content discoverability by matching images to relevant text
7. Sentence Transformers (Semantic Search):
- Build a powerful search engine for your SaaS platform’s content
- Personalize search results based on user history and preferences
8. DistilBERT For Question Answering (Long Document QA):
- Enable users to ask in-depth questions about complex topics within the SaaS platform
- Facilitate knowledge discovery and exploration of your platform’s content
9. XLMRoberta For Sequence Classification (Multilingual Text Classification):
- Offer your SaaS platform in multiple languages and categorize user content accordingly
- Personalize the user experience based on their preferred language
10. Vision Transformer ViT (Image Classification):
- Automatically categorize user-uploaded images for efficient organization
- Content moderation based on image analysis (e.g., detecting inappropriate content)
By integrating these advanced Huggingface models, you can not only enhance the functionality and intelligence of your Drupal websites but also open up new possibilities for innovation and efficiency. As we continue to explore the vast capabilities of AI, these tools represent a significant leap forward in our journey.
Stay tuned for blog posts from me that will dive into fine-tuning Hugging Face models and other advanced AI modules and APIs in Drupal. Your feedback and experiences with these modules are invaluable as we collectively push the boundaries of what AI can achieve. Remember, the future of AI is not just about the technology itself but how we creatively apply it to solve real-world challenges.
Word of caution
The document says that the Huggingface Drupal module is currently in Alpha and should not be used on production websites. https://www.drupal.org/project/huggingface
How Manmash Consulting Can Help in Drupal Huggingface Integration?
If you are looking to seamlessly integrate Hugging Face API in your Drupal site, from configuring API tokens to creating content types that enrich our website’s content, Manmash Consulting can help. We provide Drupal website development and migration services and we are enthusiastic about AI and its applications to enhance the web user experience for our clients. You can contact me, Manzar Mashhood, on my LinkedIn or add me on WhatsApp +923331200550.
