Update src/models/predict_model.py

src/models/predict_model.py

@@ -21,17 +21,17 @@ for key, val in entity_dict.items():
 entity_dict.update(new_dict)
 title2idx = dict([(x.strip(), y) for x, y in zip(df_wiki.title, df_wiki.index.values)])
 
-qa_model = QAEnsembleModel("nguyenvulebinh/vi-mrc-large", ["../../models/qa_model_robust.bin"], entity_dict)
+qa_model = QAEnsembleModel("nguyenvulebinh/vi-mrc-large", ["models/qa_model_robust.bin"], entity_dict)
 pairwise_model_stage1 = PairwiseModel("nguyenvulebinh/vi-mrc-base").half()
-pairwise_model_stage1.load_state_dict(torch.load("../../models/pairwise_v2.bin"))
+pairwise_model_stage1.load_state_dict(torch.load("models/pairwise_v2.bin"))
 pairwise_model_stage1.eval()
 
 pairwise_model_stage2 = PairwiseModel("nguyenvulebinh/vi-mrc-base").half()
-pairwise_model_stage2.load_state_dict(torch.load("../../models/pairwise_stage2_seed0.bin"))
+pairwise_model_stage2.load_state_dict(torch.load("models/pairwise_stage2_seed0.bin"))
 
-bm25_model_stage1 = BM25Gensim("../../models/bm25_stage1/", entity_dict, title2idx)
-bm25_model_stage2_full = BM25Gensim("../../models/bm25_stage2/full_text/", entity_dict, title2idx)
-bm25_model_stage2_title = BM25Gensim("../../models/bm25_stage2/title/", entity_dict, title2idx)
+bm25_model_stage1 = BM25Gensim("models/bm25_stage1/", entity_dict, title2idx)
+bm25_model_stage2_full = BM25Gensim("models/bm25_stage2/full_text/", entity_dict, title2idx)
+bm25_model_stage2_title = BM25Gensim("models/bm25_stage2/title/", entity_dict, title2idx)
 
 def get_answer_e2e(question):
     #Bm25 retrieval for top200 candidates