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| import os | |
| import uvicorn | |
| from Destinations.get_destinations import (get_destinations_list, | |
| get_question_vector) | |
| from fastapi import APIRouter, FastAPI | |
| from fastapi.middleware.cors import CORSMiddleware | |
| from Model.model_predict_onnx import onnx_predictor | |
| router = APIRouter(prefix="/model", tags=["Model"]) | |
| async def get_question_tags(question: str): | |
| # Get the prediction | |
| original_sentence, predicted_tags = onnx_predictor.predict(question) | |
| # Print the sentence and its predicted tags | |
| print("Sentence:", original_sentence) | |
| print("Predicted Tags:", predicted_tags) | |
| return {"question_tags": predicted_tags} | |
| async def get_destinations_list_api(question_tags: str, top_k:str): | |
| # Get the prediction | |
| question_vector = get_question_vector(question_tags) | |
| destinations_list = get_destinations_list(question_vector, int(top_k)) | |
| print("destinations_list:", destinations_list) | |
| return {"destinations_list": destinations_list} | |
| async def get_destinations_list_api(question: str, top_k:str): | |
| # Get the prediction | |
| original_sentence, question_tags = onnx_predictor.predict(question) | |
| # Print the sentence and its predicted tags | |
| print("Sentence:", original_sentence) | |
| print("Predicted Tags:", question_tags) | |
| # Get the prediction | |
| question_tags = " ".join(question_tags) | |
| question_vector = get_question_vector(question_tags) | |
| destinations_list = get_destinations_list(question_vector, int(top_k)) | |
| print("destinations_list:", destinations_list) | |
| return {"destinations_list": destinations_list} | |
| app = FastAPI(docs_url="/") | |
| app.add_middleware( | |
| CORSMiddleware, | |
| allow_origins=['*'], | |
| allow_credentials=True, | |
| allow_methods=['*'], | |
| allow_headers=['*'], | |
| expose_headers=['*',] | |
| ) | |
| app.include_router(router) | |
| if __name__ == "__main__": | |
| uvicorn.run(app, host="0.0.0.0", port=int(os.environ.get("PORT", 7860))) | |