Delete utils.py

utils.py

@@ -1,34 +0,0 @@
-import streamlit as st
-from langchain.memory import ConversationBufferMemory
-
-from models.openai.finetuned_models import finetuned_models, get_finetuned_chain
-from models.openai.role_models import get_role_chain, role_templates
-
-def add_initial_message(model_name, memory):
-    if "Spanish" in model_name:
-        memory.chat_memory.add_ai_message("Hola necesito ayuda") 
-    else:
-        memory.chat_memory.add_ai_message("Hi I need help")
-
-def clear_memory(memories):
-    for memory in memories:
-        if memory not in st.session_state:
-            st.session_state[memory] = ConversationBufferMemory(ai_prefix='texter', human_prefix='helper')
-        st.session_state[memory].clear()
-
-def create_memory_add_initial_message(memories, language):
-    for memory in memories:
-        if memory not in st.session_state:
-            st.session_state[memory] = ConversationBufferMemory(ai_prefix='texter', human_prefix='helper')
-            add_initial_message(language, st.session_state[memory])
-        if len(st.session_state[memory].buffer_as_messages) < 1:
-            add_initial_message(language, st.session_state[memory])
-
-
-def get_chain(issue, language, source, memory, temperature):
-    if source in ("Finetuned OpenAI"):
-        OA_engine = finetuned_models[f"{issue}-{language}"]
-        return get_finetuned_chain(OA_engine, memory, temperature)
-    if source in ('OpenAI GPT3.5'):
-        template = role_templates[f"{issue}-{language}"]
-        return get_role_chain(template, memory, temperature)