Chat mode

This commit is contained in:
Romain Quinet 2023-10-06 23:22:10 +02:00
parent b41d8288b7
commit 3d734a3064

28
main.py
View File

@ -2,7 +2,9 @@ from llama_index import (SimpleDirectoryReader, ServiceContext, StorageContext,
load_index_from_storage, Document, set_global_service_context)
from llama_index.node_parser import SimpleNodeParser
from llama_index import VectorStoreIndex
from llama_index.llms import OpenAI
from llama_index.llms import OpenAI, ChatMessage, MessageRole
from llama_index.prompts import PromptTemplate
from llama_index.chat_engine.condense_question import CondenseQuestionChatEngine
import os
import re
@ -36,22 +38,32 @@ else:
storage_context = StorageContext.from_defaults(persist_dir="./index")
index = load_index_from_storage(storage_context)
template = (
custom_prompt = PromptTemplate(
"You have been trained on the Darknet Diaries podcast transcripts with data from october 6 2023."
"You are now an expert about it and will answer as such. You know about every episode up to number 138. \n"
"----------------\n"
"Here is the context: {context_str}"
"Chat history: {chat_history}\n"
"----------------\n"
"Please answer this question by referring to the podcast: {query_str}"
"Please answer this question by referring to the podcast: {question}"
)
qa_template = PromptTemplate(template)
query_engine = index.as_query_engine(text_qa_template=qa_template)
custom_chat_history = []
query_engine = index.as_query_engine()
chat_engine = CondenseQuestionChatEngine.from_defaults(
query_engine=query_engine,
condense_question_prompt=custom_prompt,
chat_history=custom_chat_history,
verbose=True
)
while True:
try:
user_prompt = input("Prompt: ")
response = query_engine.query(user_prompt)
print(response)
streaming_response = chat_engine.stream_chat(user_prompt)
for token in streaming_response.response_gen:
print(token, end="")
print("\n")
except KeyboardInterrupt:
break