File size: 1,453 Bytes
ad4d4f6
27abab4
 
 
 
 
 
ad4d4f6
 
27abab4
ad4d4f6
 
27abab4
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
---
title: James River API
emoji: 🏗️
colorFrom: blue
colorTo: green
sdk: docker
app_port: 7860
pinned: false
license: apache-2.0
short_description: James River Survey Classification API
---

# James River Survey Classification API

This is a FastAPI-based text classification API that categorizes survey-related messages into different job types for James River surveying services.

## Model

The API uses the `ityndall/james-river-classifier` model, which is a BERT-based classifier trained to categorize survey requests into:

- Boundary Survey
- Construction Survey  
- Fence Staking
- Other/General
- Real Estate Survey
- Subdivision Survey

## API Usage

### Endpoint: POST /predict

Send a JSON payload with a "message" field:

```json
{
  "message": "I need a boundary survey for my property"
}
```

Response:
```json
{
  "label": "Boundary Survey",
  "confidence": 0.85
}
```

### Example using curl:

```bash
curl -X POST "https://ityndall-james-river-api.hf.space/predict" \
     -H "Content-Type: application/json" \
     -d '{"message": "I need a boundary survey for my property"}'
```

### Example using Python:

```python
import requests

url = "https://ityndall-james-river-api.hf.space/predict"
data = {"message": "I need a boundary survey for my property"}
response = requests.post(url, json=data)
print(response.json())
```

## Local Development

```bash
pip install -r requirements.txt
uvicorn app:app --host 0.0.0.0 --port 7860