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from openai import OpenAI
import requests
openai_client = OpenAI()
def speech_to_text(audio_binary):
# Set up Watson Speech-to-Text HTTP Api url
base_url = 'https://sn-watson-stt.labs.skills.network'
api_url = base_url+'/speech-to-text/api/v1/recognize'
# Set up parameters for our HTTP reqeust
params = {
'model': 'en-US_Multimedia',
}
# Set up the body of our HTTP request
body = audio_binary
# Send a HTTP Post request
response = requests.post(api_url, params=params, data=audio_binary).json()
# Parse the response to get our transcribed text
text = 'null'
while bool(response.get('results')):
print('speech to text response:', response)
text = response.get('results').pop().get('alternatives').pop().get('transcript')
print('recognised text: ', text)
return text
def text_to_speech(text, voice=""):
# Set up Watson Text-to-Speech HTTP Api url
base_url = 'https://sn-watson-tts.labs.skills.network'
api_url = base_url + '/text-to-speech/api/v1/synthesize?output=output_text.wav'
# Adding voice parameter in api_url if the user has selected a preferred voice
if voice != "" and voice != "default":
api_url += "&voice=" + voice
# Set the headers for our HTTP request
headers = {
'Accept': 'audio/wav',
'Content-Type': 'application/json',
}
# Set the body of our HTTP request
json_data = {
'text': text,
}
# Send a HTTP Post request to Watson Text-to-Speech Service
response = requests.post(api_url, headers=headers, json=json_data)
print('text to speech response:', response)
return response.content
def openai_process_message(user_message):
# Set the prompt for OpenAI Api
prompt = "Act like a personal assistant. You can respond to questions, translate sentences, summarize news, and give recommendations."
# Call the OpenAI Api to process our prompt
openai_response = openai_client.chat.completions.create(
model="gpt-3.5-turbo",
messages=[
{"role": "system", "content": prompt},
{"role": "user", "content": user_message}
],
max_tokens=4000
)
print("openai response:", openai_response)
# Parse the response to get the response message for our prompt
response_text = openai_response.choices[0].message.content
return response_text
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