Cara Menggunakan ChatGPT Dengan Suara Anda
Tuesday, April 11, 2023
Penelusuran suara dapat benar-benar bermanfaat. Siri, Alexa, atau Google Assistant dapat benar-benar membahagiakan. Tetapi kita ke ChatGPT sekarang! Apa hebat jika kita dapat bicara dan mendengarkan ChatGPT bukannya memencet tombol pada keyboard?
Ini hari saya akan menunjukkan 3 cara berbeda untuk bicara dengan ChatGPT! Ya, itu mungkin.
Apa saya perlu pahami kode untuk itu?
TIDAK! Saya akan memperlihatkan langkah tech-savvy dan non-techie!
Mari pelajari lebih dalam!
- Memakai ekstensi Chrome — untuk orang yang tidak paham teknologi
Anda cukup mengambil extension Chrome.
extension ini memungkinkan Anda lakukan pembicaraan suara dengan preview ChatGPT dari OpenAI. Itu inject tombol tambahan di bawah kolom input. Saat di klik, extension akan merekam suara Anda dan mengirim pertanyaan Anda ke ChatGPT.
Anda bisa memakai suara Anda untuk memberikan saran, dan itu akan membacanya. Jika Anda lebih suka membaca, atau terlampau malas menulis, Anda bisa juga melakukan! Ini memberikan dukungan banyak bahasa. Untuk berbicara dengan ChatGPT, cukup pencet dan tahan SPACE lalu bebaskan sesudah usai. Anda dapat tekan ESC atau Q untuk menggagalkan transkripsi. Pencet E untuk hentikan dan mengcopy transkripsi ke input ChatGPT. Walau ini adalah extension tidak sah dan bisa stop berperan kapan pun.
. Kode Python — untuk programmer!
Saya mendapatkan kode Python ini di Facebook, dibikin oleh Mehdi Guizani. Kode Python ini akan dengarkan input pemakai. lalu bacakan respon ChatGPT.
simpel: instal pustaka lebih dulu, lalu jalankan kodenya. Anda bisa menanyakan ke ChapGPT sendiri langkah memasang pustaka tersebut berdasarkan sistem operasi Anda, lalu jalankan kodenya!
from datetime import datetime
from logging.config import listen
import speech_recognition as sr
import pyttsx3
import webbrowser
import wikipedia
import wolframalpha
import openai
# Speech engine initialisation
engine = pyttsx3.init()
voices = engine.getProperty('voices')
engine.setProperty('voice', voices[0].id) # 0 = male, 1 = female
activationWord = 'execute' # Single word
# Configure browser
# Set the path
chrome_path = r"C:\Program Files\Google\Chrome\Application\chrome.exe"
webbrowser.register('chrome', None, webbrowser.BackgroundBrowser(chrome_path))
# Wolfram Alpha client
appId = '5R49J7-J888YX9J2V'
wolframClient = wolframalpha.Client(appId)
def speak(text, rate = 120):
engine.setProperty('rate', rate)
engine.say(text)
engine.runAndWait()
def parseCommand():
listener = sr.Recognizer()
print('Listening for a command')
with sr.Microphone() as source:
listener.pause_threshold = 2
input_speech = listener.listen(source)
try:
print('Recognizing speech...')
query = listener.recognize_google(input_speech, language='en_gb')
print(f'The input speech was: {query}')
except Exception as exception:
print('No command received, insert a command')
speak('No command received, insert a command' )
print(exception)
return 'None'
return query
def search_wikipedia(query = ''):
searchResults = wikipedia.search(query)(search_wikipedia(query))
if not searchResults:
print('No wikipedia result')
return 'No result received'
try:
wikiPage = wikipedia.page(searchResults[0])
except wikipedia.DisambiguationError as error:
wikiPage = wikipedia.page(error.options[0])
print(wikiPage.title)
wikiSummary = str(wikiPage.summary)
return wikiSummary
def listOrDict(var):
if isinstance(var, list):
return var[0]['plaintext']
else:
return var['plaintext']
def search_wolframAlpha(query = ''):
response = wolframClient.query(query)
# @success: Wolfram Alpha was able to resolve the query
# @numpods: Number of results returned
# pod: List of results. This can also contain subpods
if response['@success'] == 'false':
return 'Could not compute'
# Query resolved
else:
result = ''
# Question
pod0 = response['pod'][0]
pod1 = response['pod'][1]
# May contain the answer, has the highest confidence value
# if it's primary, or has the title of result or definition, then it's the official result
if (('result') in pod1['@title'].lower()) or (pod1.get('@primary', 'false') == 'true') or ('definition' in pod1['@title'].lower()):
# Get the result
result = listOrDict(pod1['subpod'])
# Remove the bracketed section
return result.split('(')[0]
else:
question = listOrDict(pod0['subpod'])
# Remove the bracketed section
return question.split('(')[0]
# Search wikipedia instead
speak('Computation failed. Querying universal databank.')
return search_wikipedia(question)
# Authenticate to the OpenAI API
openai.api_key = "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"
# Function to generate a response using GPT-3
def generate_response(prompt):
completions = openai.Completion.create(
engine="text-davinci-002",
prompt=prompt,
max_tokens=2048,
n=1,
stop=None,
temperature=0.5,
)
message = completions.choices[0].text
return message
def speak(text, rate = 120):
engine.setProperty('rate', rate)
engine.say(text)
engine.runAndWait()
def parseCommand():
listener = sr.Recognizer()
print('Listening for a command')
with sr.Microphone() as source:
listener.pause_threshold = 2
input_speech = listener.listen(source)
try:
print('Recognizing speech...')
query = listener.recognize_google(input_speech, language='en_gb')
print(f'The input speech was: {query}')
except Exception as exception:
print('No command received, insert a command' )
speak('No command received, insert a command' )
print(exception)
return 'None'
return query
# Main loop
if __name__ == '__main__':
speak('All systems are working correctly and are up to date.')
while True:
# Parse command
query = parseCommand()
if query != 'None':
response = generate_response(query)
speak(response)
# List commands
if query[0] == 'say':
if 'hello' in query:
speak('Hello, Big Boss. How are you today? How can i help you conquer the world?')
else:
query.pop(0) # Remove say
speech = ' '.join(query)
speak(speech)
# Set commands
if query[0] == 'say':
if 'hello' in query:
speak('Greetings, all!')
else:
speak(' '.join(query[1:]))
elif query[0] == 'search':
if 'wikipedia' in query:
speak(search_wikipedia(' '.join(query[1:])))
else:
speak(search_chatgpt(' '.join(query[1:])))
# Navigation
if query[0] == 'go' and query[1] == 'to':
speak('Opening...')
query = ' '.join(query[2:])
webbrowser.get('chrome').open_new(query)
# Wikipedia
if query[0] == 'wikipedia':
query = ' '.join(query[1:])
speak('Querying the universal databank.')
speak(search_wikipedia(query))
# Wolfram Alpha
if query[0] == 'compute' or query[0] == 'computer':
query = ' '.join(query[1:])
speak('Computing')
try:
result = search_wolframAlpha(query)
speak(result)
except:
speak('Unable to compute.')
# OpenAI client
openai_client =openai.Client(api_key="YOUR-API")
def speak(text, rate = 120):
engine.setProperty('rate', rate)
engine.say(text)
engine.runAndWait()
def parseCommand():
listener = sr.Recognizer()
print('Awaiting command')
with sr.Microphone() as source:
listener.pause_threshold = 2
input_speech = listener.listen(source)
try:
print('Recognizing speech...')
query = listener.recognize_google(input_speech, language='en_gb')
print(f'The input speech was: {query}')
except Exception as exception:
print('no command received, repeat your command')
speak('no command received, repeat your command')
print(exception)
return 'None'
return query
def search_wikipedia(keyword=''):
searchResults = wikipedia.search(keyword)
if not searchResults:
return 'No result received'
try:
wikiPage = wikipedia.page(searchResults[0])
except wikipedia.DisambiguationError as error:
wikiPage = wikipedia.page(error.options[0])
print(wikiPage.title)
wikiSummary = str(wikiPage.summary)
return wikiSummary
def search_chatgpt(prompt):
response = openai_client.completion(engine="text-davinci-002", prompt=prompt, max_tokens=2048)
return response.choices[0].text
prompt = "Hello, How can i help you today?"
completions = openai.Completion.create(engine="text-davinci-002", prompt=prompt)
print(completions.choices[0].text)
from gtts import gTTS
tts = gTTS("Hello, How can I help you today?")
# Main loop
if __name__ == '__main__':
speak('All systems are working optimal.', 120)
while True:
# Parse as a list
query = parseCommand().lower().split()
if query[0] == activationWord:
query.pop(0)
# Set commands
if query[0] == 'say':
if 'hello' in query:
speak('Greetings, all!')
else:
speak(' '.join(query[1:]))
elif query[0] == 'search':
if 'wikipedia' in query:
speak(search_wikipedia(' '.join(query[1:])))
else:
speak(search_chatgpt(' '.join(query[1:])))
# Note taking
if query[0] == 'log':
speak('Ready to record your note')
newNote = parseCommand().lower()
now = datetime.now().strftime('%Y-%m-%d-%H-%M-%S')
with open('note_%s.txt' % now, 'w') as newFile:
newFile.write(newNote)
speak('Note written')
if query[0] == 'exit':
speak('Goodbye')
break. Untuk beberapa orang MALAS seperti saya
Jika Anda malas seperti saya dan tidak mau bicara atau membaca, Anda cukup menulis, dan potongan kode ini akan mengungkapkan respon ChatGPT ke Anda! Kode ini dibuat dengan kontribusi ChatGPT!
Pertama, instal pustaka OpenAI dengan pip.
pip install openaiimport openai
import os
try:
from gtts import gTTS
except ImportError:
os.system("pip3 install gTTS")
from gtts import gTTS
# Insert your OpenAI API key here
openai.api_key = "Your_API_HERE"
def talk_to_GPT3(prompt):
response = openai.Completion.create(
engine="text-davinci-002",
prompt=prompt,
max_tokens=2048,
n = 1,
stop=None,
temperature=0.5,
)
message = response.choices[0].text
print("GPT-3: ", message)
tts = gTTS(message, lang='en')
tts.save("response.mp3")
os.system("mpg321 response.mp3")
while True:
user_input = input("You: ")
print("You: ", user_input)
talk_to_GPT3(user_input)Cukup letakkan kunci API Anda di "Your_API_HERE" dan Anda siap melakukannya. Setelah itu, Anda akan dapat menulis prompt Anda. dan komputer Anda akan membacakannya untuk Anda!