|
|
|
from gpt_index import SimpleDirectoryReader, GPTListIndex, GPTSimpleVectorIndex, LLMPredictor, PromptHelper |
|
from langchain import OpenAI |
|
import gradio as gr |
|
import sys |
|
import os |
|
|
|
os.environ["OPENAI_API_KEY"] = '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' |
|
|
|
|
|
def construct_index(directory_path): |
|
max_input_size = 4096 |
|
num_outputs = 512 |
|
max_chunk_overlap = 20 |
|
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=0.7, model_name="text-davinci-003", 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(input_text): |
|
index = GPTSimpleVectorIndex.load_from_disk('index.json') |
|
response = index.query(input_text, response_mode="compact") |
|
return response.response |
|
|
|
description = """ |
|
|
|
<center>Olá sou a Zoh, fui treinada para responder perguntas com base das informações do Hippo Supermercados. Pergunte qualquer coisa. Caso eu não saiba, estarei aprendendo. |
|
<img src="https://s3.amazonaws.com/enlizt-resources-prod/companies/10958750-6306-11ea-b31c-2b332181af51_256_avatar?nocache=1588599205314" width=200px></center> |
|
""" |
|
|
|
iface = gr.Interface(fn=chatbot, |
|
inputs=gr.inputs.Textbox(lines=3, label='O quê gostaria de saber?') , |
|
outputs=gr.inputs.Textbox(lines=3, label="Veja o que encontrei"), |
|
description=description, |
|
css=".gradio-container-3-23-0 {background-color: #5f0000} .gradio-container-3-23-0 .prose * {color: #ffffff}", |
|
title="CD2 IA") |
|
|
|
index = construct_index(".") |
|
iface.launch(share=True, show_error=True) |
|
|
