-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathSalve_es.py
83 lines (71 loc) · 2.52 KB
/
Salve_es.py
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
import openai
import speech_recognition as sr
import pyttsx3
# salve es un asistente de voz con ChatGPT
openai.api_key = "sk..." # aqui debes poner tu api_key
# debes decir "salve" para iniciar
engine = pyttsx3.init()
def transcribe_audio_to_text(filename):
recognizer = sr.Recognizer()
with sr.AudioFile(filename) as source:
audio = recognizer.record(source)
try:
return recognizer.recognize_google(audio, language="es")
except sr.UnknownValueError:
print("No te entiendo")
except sr.RequestError as e:
print("Error al procesar la solicitud:", str(e))
def generate_response(prompt):
response = openai.Completion.create(
engine="text-davinci-003",
prompt=prompt,
max_tokens=4000,
n=1,
stop=None,
temperature=0.5,
)
return response["choices"][0]["text"]
def speak_text(text):
engine.say(text)
engine.runAndWait()
def get_spanish_voice():
voices = engine.getProperty("voices")
for voice in voices:
if "spanish" in voice.languages:
return voice.id
return None
def record_audio_to_file(filename):
with sr.Microphone() as source:
recognizer = sr.Recognizer()
audio = recognizer.listen(source)
try:
transcription = recognizer.recognize_google(audio, language="es")
if transcription.lower() == "salve":
print("En qué te puedo ayudar")
speak_text("En qué te puedo ayudar")
source.pause_threshold = 1
audio = recognizer.listen(source, phrase_time_limit=None, timeout=None)
with open(filename, "wb") as f:
f.write(audio.get_wav_data())
return True
except sr.UnknownValueError:
print("No se pudo reconocer el audio")
except sr.RequestError as e:
print("Error al procesar la solicitud:", str(e))
return False
def main():
spanish_voice = get_spanish_voice()
if spanish_voice is not None:
engine.setProperty("voice", spanish_voice)
while True:
print("Di 'salve' para empezar a grabar")
filename = "input.wav"
if record_audio_to_file(filename):
text = transcribe_audio_to_text(filename)
if text:
print(f"Usuario: {text}")
response = generate_response(text)
print(f"El bot responde: {response}")
speak_text(response)
if __name__ == "__main__":
main()