From 2f522b03a262f59a987ef88600ac65ba79048c5c Mon Sep 17 00:00:00 2001 From: xueqingkun Date: Wed, 10 Jan 2024 16:33:45 +0800 Subject: [PATCH] =?UTF-8?q?rasa=20:=20=E4=BF=AE=E6=94=B9=20querySentence?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- virtual-patient-rasa/docker_1_1_0/app.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/virtual-patient-rasa/docker_1_1_0/app.py b/virtual-patient-rasa/docker_1_1_0/app.py index f8a2d129..bd68cea2 100644 --- a/virtual-patient-rasa/docker_1_1_0/app.py +++ b/virtual-patient-rasa/docker_1_1_0/app.py @@ -67,7 +67,7 @@ def update_dataset(): # 获取匹配的接口 @app.route('/matches', methods=['POST']) def get_matches(): - query_sentence = request.json.get('query_sentence', '') + query_sentence = request.json.get('querySentence', '') query_embedding = model.encode([query_sentence])[0] # 对向量进行单位化 query_embedding = query_embedding / np.linalg.norm(query_embedding) @@ -85,7 +85,7 @@ def get_matches(): # 获取所有相似度的接口 @app.route('/get_all_similarities', methods=['POST']) def get_all_similarities(): - query_sentence = request.json.get('query_sentence', '') + query_sentence = request.json.get('querySentence', '') query_embedding = model.encode([query_sentence])[0] # 对向量进行单位化 query_embedding = query_embedding / np.linalg.norm(query_embedding) @@ -98,4 +98,4 @@ def get_all_similarities(): return jsonify({'status': 'success', 'results': results}) if __name__ == '__main__': - app.run(debug=True, host='0.0.0.0') + app.run(debug=True, host='0.0.0.0') \ No newline at end of file