# coding=utf8 from gpt_index import SimpleDirectoryReader, GPTListIndex, GPTSimpleVectorIndex, LLMPredictor, PromptHelper from langchain import OpenAI import gradio as gr import random import time import sys import os from transformers import pipeline p = pipeline("automatic-speech-recognition") css = """ #component-2 {position: absolute; bottom: 0; width: 100%; } div.float.svelte-1frtwj3 { position: absolute; opacity: 0; top: var(--block-label-margin); left: var(--block-label-margin);} .wrap.svelte-6roggh.svelte-6roggh { padding: var(--block-padding); height: 100%; max-height: 100%; overflow-y: auto; } .bot.svelte-6roggh.svelte-6roggh, .pending.svelte-6roggh.svelte-6roggh { border-color: #759ce9; background: #ffffff; } div.svelte-1frtwj3 { display: inline-flex; align-items: center; z-index: var(--layer-2); box-shadow: var(--block-shadow); border: var(--block-label-border-width) solid #ffffff; border-top: none; border-left: none; border-radius: var(--block-label-radius); background: #eff6ff; padding: var(--block-label-padding); pointer-events: none; color: var(--block-label-text-color); font-weight: var(--block-label-text-weight); width: 100%; line-height: var(--line-sm); } div.svelte-awbtu4 { display: flex; flex-direction: inherit; flex-wrap: wrap; gap: var(--form-gap-width); box-shadow: var(--block-shadow); border: var(--block-border-width) solid var(--border-color-primary); border-radius: var(--radius-lg); background: var(--border-color-primary); overflow: hidden; position: fixed; bottom: 0; margin-left: -16px; } img.svelte-ms5bsk { width: var(--size-full); height: 90px; object-fit: contain; } .app.svelte-ac4rv4.svelte-ac4rv4 { max-width: none; background-color: #ffffff; } .app.svelte-ac4rv4.svelte-ac4rv4{max-width:none} .wrap.svelte-1o68geq.svelte-1o68geq {max-height: none} .block.svelte-mppz8v { position: relative; margin: 0; box-shadow: var(--block-shadow); border-width: var(--block-border-width); border-color: #dbeafe; border-radius: var(--block-radius); background: #dbeafe; width: 100%; line-height: var(--line-sm); } """ md = """This is some code: hello ```py def fn(x, y, z): print(x, y, z) """ def transcribe(audio): text = p(audio)["text"] return text def construct_index(directory_path): max_input_size = 10000 num_outputs = 10000 max_chunk_overlap = 20000 chunk_size_limit = 600000 prompt_helper = PromptHelper(max_input_size, num_outputs, max_chunk_overlap, chunk_size_limit=chunk_size_limit) llm_predictor = LLMPredictor(llm=OpenAI(temperature=0.0, model_name="text-davinci-003", max_tokens=num_outputs)) documents = SimpleDirectoryReader(directory_path).load_data() index = GPTSimpleVectorIndex.from_documents(documents) index.save_to_disk('index.json') return index def chatbot(input_text): index = GPTSimpleVectorIndex.load_from_disk('index.json') response = index.query(input_text) return str(response.response) with gr.Blocks(css=css, elem_classes=".app.svelte-ac4rv4.svelte-ac4rv4") as demo: realPath = str(os.path.dirname(os.path.realpath(__file__))) img1 = gr.Image("images/imagem teste.png") gpt = gr.Chatbot(label="Converse com GPT Super da CD2",elem_classes=".wrap.svelte-1o68geq.svelte-1o68geq", elem_id="chatbot").style(container=True) msg = gr.Textbox(elem_id="div.svelte-awbtu4",elem_classes="div.svelte-awbtu4", show_label=False, placeholder="Bem vindo ao Hippo Supermercados, em que posso ajuda-lo?", ).style(container=False) #clear = gr.Button("Limpar Conversa") #gr.Audio(source="microphone", type="filepath",label="ESTÁ COM DIFICULDADES EM ESCREVER? CLIQUE E ME DIGA O QUE DESEJA") def respond(message, chat_history): chat_history.append((message, chatbot(message))) time.sleep(1) vetor = [] realPath = str(os.path.dirname(os.path.realpath(__file__))) if str(message).upper()=="OLA" or str(message).upper()=="OLÁ" or str(message).upper()=="OI": vetor = vetor + [((realPath + "\\images\\hippo-apresentacao.mp4",), "")] elif str(message).upper() == "VINHO CASA DEL RONCO PINOT GRIGIO" : vetor = vetor + [((realPath + "\\images\\casa-del-ronco-branco.png",), "")] elif str(message).upper() == "SURVIVOR CHENIN BLANC" : vetor = vetor + [((realPath + "\\images\\survivor-branco.png",), "")] vetor = vetor + [((realPath + "\\images\\survivor.mp4",), "")] elif str(message).upper() == "VINHO PORTO NOVA VERDE" : vetor = vetor + [((realPath + "\\images\\porta-nova-branco.jpg",), "")] vetor = vetor + [((realPath + "\\images\\porta-nova-verde.mp4",), "")] elif str(message).upper() == "VINHO QUINTA DO PINTO ARINTO BRANCO" : vetor = vetor + [((realPath + "\\images\\quinta-pinto-arinto-branco.png",), "")] elif str(message).upper() == "VINHO 1492 CHARDONNAY" : vetor = vetor + [((realPath + "\\images\\chardonay-branco.jpg",), "")] elif str(message).upper() == "ME SUGIRA UM VINHO TINTO BOM COM QUEIJO" : vetor = vetor + [((realPath + "\\images\\TNT-CABERNET.png",), "")] vetor = vetor + [((realPath + "\\images\\vinho-queijo.mp4",), "")] elif str(message).upper() == "VINHO BOM COM CHOCOLATE" : vetor = vetor + [((realPath + "\\images\\TNT-CABERNET.png",), "")] elif str(message).upper() == "VINHO BOM COM PEIXE" : vetor = vetor + [((realPath + "\\images\\luson-branco.png",), "")] vetor = vetor + [((realPath + "\\images\\vinho-peixe.mp4",), "")] elif str(message).upper() == "VINHAS DO LASSO COLHEITA SELECIONADA" : vetor = vetor + [((realPath + "\\images\\lasso-colheita-rose.png",), "")] elif str(message).upper() == "DOM CAMPOS MOSCATEL" : vetor = vetor + [((realPath + "\\images\\dom-campos-rose.png",), "")] elif str(message).upper() == "BECAS ROSE MEIO SECO" : vetor = vetor + [((realPath + "\\images\\becas-rose.png",), "")] elif str(message).upper() == "PORTA DA RAVESSA" : vetor = vetor + [((realPath + "\\images\\luson-branco.png",), "")] return "", chat_history+vetor #clear.click(lambda:None, None, gpt, queue=False,) msg.submit(respond, [msg, gpt], [msg,gpt]) index = construct_index("docs") demo.launch()