app.py

from flask import Flask, request, jsonify
from goldenretriever import GoldenRetriever

app = Flask(__name__)

# Initialize the GoldenRetriever model
retriever_interventions  = GoldenRetriever(
    question_encoder="models/interventions/question_encoder",
    document_index="models/interventions/document_index/",
    device="cpu"  
)

# Initialize the GoldenRetriever model
retriever_outcomes  = GoldenRetriever(
    question_encoder="models/outcomes/question_encoder",
    document_index="models/outcomes/document_index/",
    device="cpu" 
)

def retrieve_documents(retriever, text):
    pred_docs = retriever.retrieve(text, k=5, batch_size=1, progress_bar=False)[0]
    return [doc.document.text for doc in pred_docs]


@app.route('/retrieve-intervention', methods=['POST'])
def retrieve_intervention():
    data = request.get_json()
    text = data.get('text', '')
    if text:
        result = retrieve_documents(retriever_interventions, text)
        return jsonify(result), 200
    else:
        return jsonify({'error': 'No text provided'}), 400

@app.route('/retrieve-outcomes', methods=['POST'])
def retrieve_outcomes():
    data = request.get_json()
    text = data.get('text', '')
    if text:
        result = retrieve_documents(retriever_outcomes, text)
        return jsonify(result), 200
    else:
        return jsonify({'error': 'No text provided'}), 400


if __name__ == '__main__':
    app.run(debug=True, host='https://carlosmalaga-retriever-api.hf.space')