Make converse prompt more precise. Fix default arg vals in gpt methods

- Set conversation_log arg default to dict
- Increase default temperature to 0.2 for a little creativity in
  answering
- Make GPT be more reliable in looking at past conversations for
  forming response
This commit is contained in:
Debanjum Singh Solanky 2023-03-14 19:06:02 -06:00
parent 6c0e82b2d6
commit 24ddebf3ce

View file

@ -121,7 +121,7 @@ A:{ "search-type": "notes" }"""
return json.loads(story.strip(empty_escape_sequences)) return json.loads(story.strip(empty_escape_sequences))
def converse(text, user_query, conversation_log=None, api_key=None, temperature=0): def converse(text, user_query, conversation_log={}, api_key=None, temperature=0.2):
""" """
Converse with user using OpenAI's ChatGPT Converse with user using OpenAI's ChatGPT
""" """
@ -129,9 +129,9 @@ def converse(text, user_query, conversation_log=None, api_key=None, temperature=
model = "gpt-3.5-turbo" model = "gpt-3.5-turbo"
openai.api_key = api_key or os.getenv("OPENAI_API_KEY") openai.api_key = api_key or os.getenv("OPENAI_API_KEY")
personality_primer = "You are a friendly, helpful personal assistant." personality_primer = "You are Khoj, a friendly, smart and helpful personal assistant."
conversation_primer = f""" conversation_primer = f"""
Using the notes and our chats as context, answer the following question. Using the notes and our past conversations as context, answer the following question.
Current Date: {datetime.now().strftime("%Y-%m-%d")} Current Date: {datetime.now().strftime("%Y-%m-%d")}
Notes: Notes:
@ -159,7 +159,7 @@ Question: {user_query}"""
return story.strip(empty_escape_sequences) return story.strip(empty_escape_sequences)
def generate_chatml_messages_with_context(user_message, system_message, conversation_log=None): def generate_chatml_messages_with_context(user_message, system_message, conversation_log={}):
"""Generate messages for ChatGPT with context from previous conversation""" """Generate messages for ChatGPT with context from previous conversation"""
# Extract Chat History for Context # Extract Chat History for Context
chat_logs = [f'{chat["message"]}\n\nNotes:\n{chat.get("context","")}' for chat in conversation_log.get("chat", [])] chat_logs = [f'{chat["message"]}\n\nNotes:\n{chat.get("context","")}' for chat in conversation_log.get("chat", [])]