README.md

metadata

title: Outcome Switching Detector
emoji: 🔄
colorFrom: blue
colorTo: gray
sdk: gradio
sdk_version: 4.44.0
app_file: app.py
pinned: true
python_version: 3.11.9
models:
  - aakorolyova/primary_and_secondary_outcome_extraction
  - Mathking/all-mpnet-outcome-similarity

Outcome Switching Detector

Installation

1. Download dependencies : pip install -r requirements.txt

2. Define pretrained models path in config file : you must redefine config.json so that it points to the models if you do not have them on disk. YOu also can redefine ner_labe2id depending on the model you use

{
    "ner_path": "aakorolyova/primary_and_secondary_outcome_extraction",
    "sim_path": "laiking/all-mpnet-outcome-similarity",
    "ner_label2id" : {
        "O": 0,
        "B-PrimaryOutcome": 1,
        "I-PrimaryOutcome": 2,
        "B-SecondaryOutcome": 3,
        "I-SecondaryOutcome": 4
    }
}

1. Run python3 -m app.py