refactor: Add support for Unix-style paths across all OS

#41

pages/2_user.py

@@ -8,7 +8,7 @@
 sys.path.append("./")
 sys.path.append(os.path.dirname(os.path.abspath(os.path.dirname(__file__))))
 
-from config import DATA_DIR, IMG_PATH, path
+from config import DATA_DIR, IMG_PATH, path, CSS_PATH
 from loguru import logger as _logger
 from src.logger import DevConfig
 from src.util import (check_essential, get_image_base64, local_css,
@@ -48,7 +48,7 @@
 
 st.title("안녕하세요, " + st.session_state.nickname + "님!")  # 사용자 이름을 받아서 화면에 출력합니다.
 
-local_css(os.path.join(path, "front", "css", "background.css"))
+local_css(os.path.join(CSS_PATH, "background.css"))
 
 
 # local_css("css/1_user.css")
@@ -237,7 +237,7 @@
 
 
 ## read job info tb
-job_info, JOBS = read_job_info_tb(path + "/data/samples/job_info_tb.parquet")
+job_info, JOBS = read_job_info_tb(os.path.join(DATA_DIR,  "samples", "job_info_tb.parquet"))
 st.session_state.job_info = job_info
 st.session_state.logger.info("read job tb")
 st.session_state.logger.info(f"job info is ... {JOBS}")

pages/3_gene_question.py

@@ -137,7 +137,7 @@
 
     ### JD 사용하여 JD 추출용 프롬프트 만들기
     st.session_state.logger.info("prompt JD start")
-    prompt_template_jd = read_prompt_from_txt(os.path.join(DATA_DIR, "test/prompt_JD_template.txt"))
+    prompt_template_jd = read_prompt_from_txt(os.path.join(DATA_DIR, "test", "prompt_JD_template.txt"))
     st.session_state.prompt_JD = create_prompt_with_jd(prompt_template_jd)
 
     # prompt_JD 생성완료
@@ -163,7 +163,7 @@
     # prompt_qa_template #######################################
 
     st.session_state.logger.info("prompt resume start")
-    prompt_template_resume = read_prompt_from_txt(os.path.join(DATA_DIR, "test/prompt_resume_template.txt"))
+    prompt_template_resume = read_prompt_from_txt(os.path.join(DATA_DIR, "test", "prompt_resume_template.txt"))
 
     st.session_state.logger.info("create prompt resume template")
     st.session_state.prompt_resume = create_prompt_with_resume(prompt_template_resume)
@@ -192,7 +192,7 @@
 
     ## step3 :
     st.session_state.logger.info("prompt question start")
-    prompt_template_question = read_prompt_from_txt(os.path.join(DATA_DIR, "test/prompt_question_template.txt"))
+    prompt_template_question = read_prompt_from_txt(os.path.join(DATA_DIR, "test", "prompt_question_template.txt"))
 
     st.session_state.logger.info("create prompt question template")
     st.session_state.prompt_question = create_prompt_with_question(prompt_template_question)

pages/3_gene_question_no_resume.py

@@ -128,7 +128,7 @@
 
     ### JD 사용하여 JD 추출용 프롬프트 만들기
     st.session_state.logger.info("prompt JD start")
-    prompt_template_jd = read_prompt_from_txt(os.path.join(DATA_DIR, "test/prompt_JD_template.txt"))
+    prompt_template_jd = read_prompt_from_txt(os.path.join(DATA_DIR, "test", "prompt_JD_template.txt"))
     st.session_state.prompt_JD = create_prompt_with_jd(prompt_template_jd)
 
     # prompt_JD 생성완료
@@ -148,7 +148,7 @@
 
     ## step2 JD 만을 이용해 질문 6개를 생성합니다 :
     st.session_state.logger.info("prompt question start")
-    prompt_noResume_question_template = read_prompt_from_txt(os.path.join(DATA_DIR, "test/prompt_noResume_question_template.txt"))
+    prompt_noResume_question_template = read_prompt_from_txt(os.path.join(DATA_DIR, "test", "prompt_noResume_question_template.txt"))
 
     st.session_state.logger.info("create no resume prompt question template")
     st.session_state.prompt_question = create_prompt_with_no_resume(prompt_noResume_question_template)

pages/4_interview.py

@@ -83,7 +83,7 @@ def next_tail_question():
 
 # 대화내역 파일로 저장
 st.session_state.interview_script_download = "\n\n".join(st.session_state.interview_script)
-with open(st.session_state['save_dir'] + "/interview_history.txt", "w") as file:
+with open(os.path.join(st.session_state['save_dir'], "interview_history.txt"), "w") as file:
     file.write(st.session_state.interview_script_download)   
 
 ##################################### 여기서부터 모의 면접 시작 ############################################

pages/4_show_questions_hint.py

@@ -48,8 +48,8 @@
 
 st.title(f"{st.session_state.user_name}님의 기술면접 예상 질문입니다.🤗 ")
 
-st.session_state.prompt_template_fb = read_prompt_from_txt(os.path.join(DATA_DIR, "test/prompt_feedback.txt"))
-st.session_state.prompt_template_ht = read_prompt_from_txt(os.path.join(DATA_DIR, "test/prompt_hint.txt"))
+st.session_state.prompt_template_fb = read_prompt_from_txt(os.path.join(DATA_DIR, "test", "prompt_feedback.txt"))
+st.session_state.prompt_template_ht = read_prompt_from_txt(os.path.join(DATA_DIR, "test", "prompt_hint.txt"))
 
 
 # 각 질문에 대해 번호를 매기고 토글 위젯 생성
@@ -140,7 +140,7 @@
     switch_page("user")
 
 st.session_state.question_history = "\n\n".join(st.session_state.questions_showhint)
-with open(st.session_state['save_dir'] + "/question_history.txt", "w") as file:
+with open(os.path.join(st.session_state['save_dir'], "question_history.txt"), "w") as file:
     file.write(st.session_state.question_history)   # 생성된 질문을 파일로 저장
 
 # 다운로드 버튼 생성

src/util.py

@@ -12,7 +12,7 @@
 from langchain.memory.buffer_window import ConversationBufferWindowMemory
 from langchain.prompts.prompt import PromptTemplate
 from PIL import Image
-from dotenv import load_dotenv  
+from config import DATA_DIR
 
 sys.path.append("./")
 load_dotenv() # OPENAI_API_KEY 불러오기
@@ -214,9 +214,7 @@ def load_chain(question):
 
     # Load OpenAI chat model
     llm = ChatOpenAI(temperature=0)
-    template = read_prompt_from_txt(
-        os.path.join(os.path.dirname(os.path.dirname(__file__)), "data", "test", "tail_question_template.txt")
-    )
+    template = read_prompt_from_txt(os.path.join(DATA_DIR, "test", "tail_question_template.txt"))
 
     # Create memory 'chat_history'
     memory = ConversationBufferWindowMemory(human_prefix="면접자 답변", ai_prefix="answer")