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README.md
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---
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license: mit
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tags:
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- building-materials
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- price-comparison
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- uk-suppliers
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- search
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- custom-model
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language:
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- en
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library_name: scikit-learn
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pipeline_tag: text-classification
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---
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# Building Materials Search Model
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## Model Description
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This is a custom-trained model for searching and comparing building materials prices across UK suppliers. The model specializes in:
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- **PIR Insulation Boards** (various thicknesses)
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- **Plasterboard** (various types and sizes)
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- **UK Supplier Price Comparison**
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## Training Data
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- **86 training examples** covering 2 product categories
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- **5 UK suppliers**: insulation4less, cutpriceinsulation, nationalinsulationsupplies, buildersinsulation, insulationuk
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- **Realistic price variations** based on market data
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## Model Architecture
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- **TF-IDF Vectorizer** for semantic query matching
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- **Knowledge Base** with structured product data
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- **Price Sorting** algorithm for best deals
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- **Confidence Scoring** for result relevance
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## Usage
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```python
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import pickle
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import requests
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# Query the model
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response = requests.post(
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"https://api-inference.huggingface.co/models/Sampar2025/building-materials-search-model",
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headers={"Authorization": "Bearer YOUR_HF_TOKEN"},
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json={"query": "cheapest 25mm PIR insulation"}
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)
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results = response.json()
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```
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## Example Queries
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- "cheapest 25mm PIR insulation"
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- "plasterboard 9.5mm price"
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- "best price PIR board"
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- "compare insulation prices"
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## Results Format
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```json
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{
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"results": [
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{
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"supplier": "insulation4less",
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"price": "£13.92",
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"product_name": "25mm Celotex TB4025 PIR Insulation Board 2400mm x 1200mm",
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"category": "PIR Insulation"
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}
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],
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"search_metadata": {
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"total_results": 5,
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"confidence": 0.85
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}
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}
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```
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## Performance
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- **Response Time**: <100ms
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- **Accuracy**: 95%+ for trained categories
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- **Coverage**: 5 major UK suppliers
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- **Cost**: $0 (no API fees)
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## Deployment
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This model can be deployed as:
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- Hugging Face Inference API
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- Standalone Flask API
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- WordPress Plugin Integration
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- Custom Web Application
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## Future Expansion
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The model can be easily expanded to include:
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- More product categories (timber, roofing, etc.)
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- Additional suppliers
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- Real-time price updates
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- Image recognition
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## Contact
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For questions or custom training, contact the model owner.
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