select role from frontend

ai_talks/AMUseBotBackend/src/DP/dp.py

@@ -8,7 +8,6 @@ import json
 
 import streamlit as st
 
-
 class DP:
 
     def __init__(self, dst: DST, llm_rephrasing=True, character='default'): #TODO: a way to set llm_rephrasing status and a character

ai_talks/AMUseBotBackend/src/NLG/nlg.py

@@ -1,5 +1,4 @@
 import streamlit as st
-
 class NLG:
     MESSAGE_PROMPT = "Hello! I'm AMUseBot, a virtual cooking assistant. Please tell me the name of the dish that you'd like to prepare today."
     MESSAGE_HI   = "Hi! What do you want to make today?"

ai_talks/AMUseBotBackend/utils/characters_dict.json

@@ -4,6 +4,11 @@
   "model": "gpt-3.5-turbo-0613", 
   "characters": {
     "default": {
+      "prompt": "",
+      "task_specification": ""
+
+    },
+    "helpful_chef": {
       "prompt": "You're a master chef known for treating everyone like your equal. ",
       "task_specification": " Give your answer as a natural sounding, full English sentence."
 

ai_talks/chat.py

@@ -111,8 +111,14 @@ def main() -> None:
             horizontal=True,
         )
         if role_kind == st.session_state.locale.radio_text1:
-            c2.selectbox(label=st.session_state.locale.select_placeholder2, key="role",
+            character_type = c2.selectbox(label=st.session_state.locale.select_placeholder2, key="role",
                              options=st.session_state.locale.ai_role_options)
+            st.session_state.dp.character = character_type
+            if character_type == 'default':
+                st.session_state.dp.llm_rephrasing = False
+            else:
+                st.session_state.dp.llm_rephrasing = True
+
         elif role_kind == st.session_state.locale.radio_text2: 
             c2.text_input(label=st.session_state.locale.select_placeholder3, key="role")
         

ai_talks/src/utils/constants.py

@@ -1,16 +1,6 @@
 AI_ROLE_OPTIONS_EN: list[str] = [
-    "helpful assistant",
-    "code assistant",
-    "code reviewer",
-    "text improver",
-    "cinema expert",
-    "sport expert",
-    "online games expert",
-    "food recipes expert",
-    "English grammar expert",
-    "friendly and helpful teaching assistant",
-    "laconic assistant",
-    "helpful, pattern-following assistant",
-    "translate corporate jargon into plain English",
+    "default",
+    "helpful_chef",
+    "ramsay",
 ]