fix path issue

.env_template

@@ -0,0 +1,4 @@
+RECIPE_PATH=AMUseBotFront/ai_talks/AMUseBotBackend/recipe/ 
+DIALOG_PATH=AMUseBotFront/ai_talks/AMUseBotBackend/dialog/
+INTENT_DICT_PATH=ai_talks/AMUseBotBackend/utils/intent_dict.json
+MODEL_IDENTIFIER_PATH=ai_talks/AMUseBotBackend/models/NLU/roberta-base-cookdial.txt

ai_talks/chat.py

@@ -10,6 +10,8 @@ from PIL import Image
 from src.utils.conversation import get_user_input, show_chat_buttons, show_conversation
 from src.utils.lang import en
 
+import os
+from dotenv import load_dotenv
 
 if __name__ == '__main__':
     
@@ -37,6 +39,11 @@ if __name__ == '__main__':
     with open(css_file) as f:
         st.markdown(f"<style>{f.read()}</style>", unsafe_allow_html=True)
 
+    load_dotenv()
+
+    DIALOG_PATH = os.getenv('DIALOG_PATH')
+    RECIPE_PATH = os.getenv('RECIPE_PATH')
+
     # Storing The Context
     if "locale" not in st.session_state:
         st.session_state.locale = en
@@ -57,7 +64,7 @@ if __name__ == '__main__':
     if "total_tokens" not in st.session_state:
         st.session_state.total_tokens = []
     if "dst" not in st.session_state:
-        st.session_state.dst = DST(recipe_path="AMUseBotFront/ai_talks/AMUseBotBackend/recipe/", dialog_path="AMUseBotFront/ai_talks/AMUseBotBackend/dialog/")
+        st.session_state.dst = DST(recipe_path=RECIPE_PATH, dialog_path=DIALOG_PATH)
     if "dp" not in st.session_state:
         st.session_state.dp = DP(dst=st.session_state.dst)
 

ai_talks/src/utils/conversation.py

@@ -7,12 +7,18 @@ from streamlit_chat import message
 from .stt import show_voice_input
 from .tts import show_audio_player
 
-from AMUseBotBackend.src.DP.dp import DP
-from AMUseBotBackend.src.DST.dst import DST
 from AMUseBotBackend.src.NLU.nlu import NLU
 
+import os
+from dotenv import load_dotenv
+
+load_dotenv()
+
+INTENT_DICT_PATH = os.getenv('INTENT_DICT_PATH')
+MODEL_IDENTIFIER_PATH = os.getenv('MODEL_IDENTIFIER_PATH')
+
 @st.cache_resource
-def get_nlu_model(intent_dict_path = 'AMUseBotFront/ai_talks/AMUseBotBackend/utils/intent_dict.json', model_identifier_path = 'AMUseBotFront/ai_talks/AMUseBotBackend/models/NLU/roberta-base-cookdial.txt'):
+def get_nlu_model(intent_dict_path = INTENT_DICT_PATH, model_identifier_path = MODEL_IDENTIFIER_PATH):
     return NLU(intent_dict_path=intent_dict_path,
                             model_identifier_path=model_identifier_path)
 

requirements.txt

@@ -10,3 +10,12 @@ watchdog>=3.0.0
 setuptools~=65.5.0
 graphviz~=0.20.1
 Pillow~=9.5.0
+pandas==1.5.2
+scikit_learn==1.2.0
+simpletransformers==0.63.9
+torch==1.11.0
+spacy==3.5.0
+rank_bm25==0.2.2
+tqdm==4.64.1
+nlp==0.4.0
+python-dotenv==1.0.0