Spaces:
Sleeping
Sleeping
File size: 9,796 Bytes
fd22ae3 6e771f6 fd22ae3 862d34a 8ca0441 6e771f6 57315a6 8ca0441 fd22ae3 b2a1255 fd22ae3 8ca0441 862d34a b2a1255 8ca0441 b2a1255 862d34a 8ca0441 fd22ae3 8ca0441 fd22ae3 8ca0441 fd22ae3 862d34a 8ca0441 862d34a ce12d21 862d34a 8ca0441 862d34a 8ca0441 862d34a 8ca0441 862d34a 8ca0441 862d34a b2a1255 862d34a 8ca0441 b2a1255 fd22ae3 8ca0441 fd22ae3 8ca0441 fd22ae3 8ca0441 fd22ae3 b2a1255 fd22ae3 b2a1255 fd22ae3 b2a1255 fd22ae3 8ca0441 fd22ae3 862d34a 8ca0441 862d34a fd22ae3 ce12d21 8ca0441 862d34a fd22ae3 862d34a fd22ae3 8ca0441 fd22ae3 8ca0441 fd22ae3 8ca0441 fd22ae3 8ca0441 fd22ae3 862d34a fd22ae3 862d34a 8ca0441 fd22ae3 862d34a 6e771f6 fd22ae3 6e771f6 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 |
import os
import gradio as gr
from openai import OpenAI
import google.generativeai as genai
LOAD_KEYS_FROM_FILES = False
USE_LOCAL_ASR_PIPELINE = True
if LOAD_KEYS_FROM_FILES:
# Load OpenAI API key
with open('KEY_OPENAI', 'r') as file:
OPENAI_API_KEY = file.read().replace('\n', '')
# Hugging Face API key, used for the serverless access to ASR model
with open('KEY_HF', 'r') as file:
os.environ['HUGGINGFACE_API_KEY'] = file.read().replace('\n', '')
# Google AI API key, to acces Gemini model
with open('KEY_GOOGLE_AI', 'r') as file:
GOOGLE_API_KEY = file.read().replace('\n', '')
else:
# testar se existe a variável OPENAI_API_KEY
OPENAI_API_KEY = "" if 'OPENAI_API_KEY' not in os.environ else os.environ['OPENAI_API_KEY']
GOOGLE_API_KEY = "" if 'GOOGLE_API_KEY' not in os.environ else os.environ['GOOGLE_API_KEY']
assert 'HUUGINGFACE_API_KEY' in os.environ, "Hugging Face API key not found in environment variables"
USE_OPENAI_LLM = (GOOGLE_API_KEY == "")
OPENAI_CLIENT = None
if USE_OPENAI_LLM:
OPENAI_CLIENT = OpenAI(api_key=OPENAI_API_KEY)
else:
genai.configure(api_key=GOOGLE_API_KEY)
GOOGLE_GEN_CONFIG = genai.types.GenerationConfig(
candidate_count=1,
temperature=0.5)
AUDIO_OUT_FILE_PREFIX = "output" # prefixo do nome do arquivo de áudio .wav
TEMPLATE_SYSTEM_MESSAGE = """Você é assistente virtual com a função é entreter uma criança de idade entre 6 e 8 anos que adora futebol. Diretrizes para a conversa:
- Você é {GENRE}, seu nome é {NAME}.
- Pergunte o nome da criança.
- Fale sobre futebol, times, jogadores, seleções e grandes jogos.
- Em especial, foque no futebol do Brasil, Inglaterra e Espanha.
- {PERSONALITY}
- Fale, no máximo, três frases por mensagem.
"""
# Mapeia a personalidade no template e na temperatura
PERSONALITIES = {
"nova": ("Sua personalidade é bastante amigável e alegre, como uma criança. Tente iniciar novos assuntos, quando a conversa estiver repetitiva. Conte piadas de futebol, de vez em quando.", 0.5, "F"),
"echo": ("Sua personalidade é amigável, mas objetivo. Tente manter-se no mesmo assunto. Conte alguma curiosidade sobre um grande craque, de vez em quando.", 0.2, "M")
}
INITIAL_PERSON = "nova"
# Função para converter o histórico de chat para o formato esperado pela API do OpenAI
def to_openai_chat_history(system_prompt, curr_message, chat_history):
prompt = [ { 'role': 'system', 'content': system_prompt } ]
if len(chat_history) > 10:
chat_history = chat_history[0:3] + chat_history[-5:]
for turn in chat_history:
user_message, bot_message = turn
prompt.append( {'role': 'user', 'content': user_message} )
prompt.append( {'role': 'assistant', 'content': bot_message} )
prompt.append( {'role': 'user', 'content': curr_message } )
return prompt
# Função para converter o histórico de chat para o formato esperado pela API do Google AI
def to_google_history(curr_message, chat_history):
prompt = []
for turn in chat_history:
user_message, bot_message = turn
prompt.append( {'role':'user', 'parts': [user_message]} )
prompt.append( {'role': 'model', 'parts': [bot_message]} )
prompt.append( {'role': 'user', 'parts': [curr_message]} )
return prompt
def respond(system_prompt, user_message, chat_history, temperature, voice="echo"):
if USE_OPENAI_LLM:
openai_history = to_openai_chat_history(system_prompt, user_message, chat_history)
bot_response = OPENAI_CLIENT.chat.completions.create(
messages=openai_history,
temperature=temperature,
model="gpt-3.5-turbo")
assistant_msg = bot_response.choices[0].message.content
else:
GOOGLE_GEN_CONFIG.temperature = temperature
model = genai.GenerativeModel('gemini-1.5-pro-latest',
system_instruction=system_prompt,
generation_config=GOOGLE_GEN_CONFIG)
google_history = to_google_history(user_message, chat_history)
bot_response = model.generate_content(google_history, generation_config=GOOGLE_GEN_CONFIG)
assistant_msg = bot_response.text
# salva o audio
response = OPENAI_CLIENT.audio.speech.create(
model="tts-1",
voice=voice,
input=assistant_msg
)
output_audio_file = f"{AUDIO_OUT_FILE_PREFIX}-{len(chat_history)+1:03}.wav"
#response.stream_to_file(output_audio_file)
response.write_to_file(output_audio_file)
# adiciona ao chat, com o tipo de dado esperado pelo Gradio
chat_history.append( (user_message, assistant_msg) )
return "", chat_history, output_audio_file
def reset_and_apply(voice):
return [("", "Olá, vamos falar de futebol?")], AUDIO_OUT_FILE_PREFIX + f"-001-{voice}.wav"
def reset_openai_client(openai_key):
global USE_OPENAI_LLM, OPENAI_CLIENT, OPENAI_API_KEY, GOOGLE_API_KEY
USE_OPENAI_LLM = (GOOGLE_API_KEY != "")
OPENAI_API_KEY = openai_key
OPENAI_CLIENT = OpenAI(api_key=OPENAI_API_KEY)
def reset_google_client(google_key):
global GOOGLE_API_KEY, USE_OPENAI_LLM
GOOGLE_API_KEY = google_key
USE_OPENAI_LLM = (google_key != "")
def on_voice_change(voice):
persona_description, persona_temperature, sex = PERSONALITIES[voice]
genre = "menina" if sex=="F" else "menino"
return TEMPLATE_SYSTEM_MESSAGE.format(NAME=voice.upper(), PERSONALITY=persona_description, GENRE=genre), persona_temperature
# With pipeline (downloaded model)
if USE_LOCAL_ASR_PIPELINE:
from transformers import pipeline
import numpy as np
global ASR_PIPELINE
ASR_PIPELINE = pipeline(task="automatic-speech-recognition",
model="openai/whisper-large-v3")
#model="distil-whisper/distil-small.en") # English only
else:
import requests
global ASR_API_URL, ASR_API_HEADERS
HF_KEY = os.environ['HUGGINGFACE_API_KEY']
# Serverless API endpoint for OpenAI's Whisper model
ASR_API_URL = "https://api-inference.huggingface.co/models/openai/whisper-large-v3"
ASR_API_HEADERS = {"Authorization": f"Bearer {HF_KEY}"}
def transcribe(audio_in):
# from numpy data:
#sr, y = audio_in # sampling rate and audio data
#y2 = y.astype(np.float32)
#y2 /= np.max(np.abs(y))
#response = ASR_PIPELINE({"sampling_rate": sr, "raw": y})
# using serverless API
with open(audio_in, "rb") as f:
data = f.read()
response = requests.post(ASR_API_URL, headers=ASR_API_HEADERS, data=data)
response = response.json()
#print(response)
return response['text']
def transcribe_and_respond(audio_in, system_txtbox, user_msg_txb, *args):
user_message = transcribe(audio_in)
outputs = respond(system_txtbox, user_message, *args)
return outputs
with gr.Blocks() as demo:
# aqui, é resetado e instanciado o cliente
initial_chat_history, initial_audio = reset_and_apply(INITIAL_PERSON)
chatbot_area = gr.Chatbot(value=initial_chat_history)
audio_out = gr.Audio(label="Escute a última mensagem", value=initial_audio, autoplay=True, interactive=False)
user_msg_txb = gr.Textbox(label="Mensagem")
#audio_in = gr.Audio(label="Mensagem de Áudio", sources=['microphone'], interactive=True, type='filepath') # TODO: tentar type='numpy'
submit_btn = gr.Button("Enviar")
#clear_btn = gr.ClearButton(components=[user_msg, chatbot], value="Clear console")
reset_btn = gr.Button("Reiniciar")
with gr.Accordion(label="Configurações",open=False):
openai_key = gr.Textbox(label="OpenAI API Key (GPT 3.5)", value="", placeholder="Insira a chave aqui")
openai_key.change(reset_openai_client, inputs=[openai_key])
openai_key = gr.Textbox(label="Google API Key (Gemini 1.5)", value="", placeholder="Insira a chave aqui")
openai_key.change(reset_google_client, inputs=[openai_key])
# opções de vozes e personalidades
voice_ddown = gr.Dropdown(label="Personalidade (muda os dois abaixo)", choices=["nova", "echo"], value=INITIAL_PERSON)
initial_system_message, initial_temperature = on_voice_change(INITIAL_PERSON)
temperature_sldr = gr.Slider(label="Diversidade de respostas", minimum=0.0, maximum=1.0, value=initial_temperature, step=0.1)
with gr.Accordion(label="Avançado",open=False):
# o valor inicial é dado pela system message com o nome e personalidade dados pelos controles acima
system_txtbox = gr.Textbox(label="System message", lines=3, value=initial_system_message)
voice_ddown.change(on_voice_change, inputs=[voice_ddown], outputs=[system_txtbox, temperature_sldr])
#gr.Markdown("*Clique em 'Reiniciar' para aplicar as (a maior parte das) configurações.*")
reset_btn.click(reset_and_apply, inputs=[openai_key, voice_ddown], outputs=[chatbot_area, audio_out])
#audio_in.stop_recording( transcribe_and_respond, inputs=[audio_in, system_txtbox, user_msg_txb, chatbot_area, temperature_sldr, voice_ddown], outputs=[user_msg_txb, chatbot_area, audio_out] )
submit_btn.click(respond, inputs=[system_txtbox, user_msg_txb, chatbot_area, temperature_sldr, voice_ddown], outputs=[user_msg_txb, chatbot_area, audio_out]) # Click on the button
user_msg_txb.submit(respond, inputs=[system_txtbox, user_msg_txb, chatbot_area, temperature_sldr, voice_ddown], outputs=[user_msg_txb, chatbot_area, audio_out]) # Press enter to submit - same effect
demo.queue().launch(share=False)
|