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import gradio as gr | |
from gpt_index import SimpleDirectoryReader, GPTListIndex, GPTSimpleVectorIndex, LLMPredictor, PromptHelper | |
from langchain import OpenAI | |
from langchain.chat_models import ChatOpenAI | |
import sys | |
import os | |
directory_path = os.getcwd() | |
openai_api_key = os.environ.get("OPENAI_API_KEY") | |
def construct_index(): | |
# set maximum input size | |
max_input_size = 4096 | |
# set number of output tokens | |
num_outputs = 256 | |
# set maximum chunk overlap | |
max_chunk_overlap = 0 | |
# set chunk size limit | |
chunk_size_limit = 600 | |
prompt_helper = PromptHelper(max_input_size, num_outputs, max_chunk_overlap, chunk_size_limit=chunk_size_limit) | |
llm_predictor = LLMPredictor(llm=OpenAI(temperature=0, model_name="gpt-3.5-turbo", max_tokens=num_outputs)) | |
documents = SimpleDirectoryReader(directory_path).load_data() | |
index = GPTSimpleVectorIndex(documents, llm_predictor=llm_predictor, prompt_helper=prompt_helper) | |
index.save_to_disk('index.json') | |
return index | |
def chatbot_response(query_input, chat_history=[]): | |
index = construct_index() | |
response = index.query(query_input, response_mode="compact") | |
chat_history.append(("You:\n", query_input)) | |
chat_history.append(("Bot:", response.response)) | |
chat_history_text = "\n\n".join(["{}{}".format(item[0], item[1]) for item in chat_history[-9:-1]]) | |
response_text = f"{chat_history_text} \n\nBot:{response.response}" | |
return response_text | |
chat_history = [] | |
query_input = gr.Textbox(label="What do you want to ask the bot?") | |
output_text = gr.Textbox(label="Bot Response and Chat History") | |
def get_chatbot_response(query_input): | |
global chat_history | |
response_text = chatbot_response(query_input, chat_history) | |
# chat_history = chat_history[-10:-1] | |
return response_text | |
interface = gr.Interface( | |
fn=get_chatbot_response, | |
inputs=query_input, | |
outputs=output_text, | |
title="Chatbot", | |
description="Ask the bot any question and it will give you a response.", | |
examples=["What are some popular tourist destinations in Europe?","What are some famous landmarks in Paris?","What can visitors do in Rome, Italy?","What are some must-see sights in Rome?"], | |
) | |
interface.launch() |