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---
title: Alloy Maintenance AI
emoji: 🏭
colorFrom: blue
colorTo: indigo
sdk: gradio
sdk_version: 4.44.1
app_file: app.py
pinned: false
license: mit
python_version: "3.11"
---
# 🏭 Alloy Maintenance AI Assistant
Fine-tuned Phi-3 model specialized for steel manufacturing equipment maintenance, diagnostics, and safety procedures.
## Features
- **Equipment Diagnostics**: Analyze sensor data and identify issues
- **Root Cause Analysis**: Determine failure modes and causes
- **Maintenance Procedures**: Step-by-step repair and safety guides
- **Domain Expertise**: Trained on steel manufacturing maintenance data
## Usage
### Web Interface
Simply type your maintenance query in the text box and click Submit.
### API Access
You can call this model programmatically from your application:
```python
import requests
response = requests.post(
"https://huggingface.co/spaces/YOUR_USERNAME/alloy-maintenance-ai/api/predict",
json={
"data": [
"What causes bearing failure?", # prompt
500, # max_tokens
0.3 # temperature
]
}
)
result = response.json()
answer = result["data"][0]
```
### Python Gradio Client
```python
from gradio_client import Client
client = Client("YOUR_USERNAME/alloy-maintenance-ai")
result = client.predict(
"What causes high vibration in compressors?", # prompt
500, # max_tokens
0.3, # temperature
api_name="/predict"
)
print(result)
```
## Model Details
- **Base Model**: microsoft/Phi-3-mini-4k-instruct
- **Fine-tuned On**: Steel manufacturing maintenance procedures, fault diagnostics, safety protocols
- **Training Data**: Equipment manuals, maintenance logs, incident reports
- **Specialization**: Air compressors, rolling mills, cooling systems, blast furnaces
## Example Queries
- "What causes bearing failure in air compressors?"
- "Diagnose: high temperature, low pressure, normal vibration"
- "Safety procedure for emergency compressor shutdown"
- "Root cause of shaft misalignment"
## License
MIT License - Free for commercial and non-commercial use