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| 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 | |