| from IPython.display import Audio |
| import openai |
| import requests |
| import json |
| import os |
|
|
|
|
| |
| openai.api_key = "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" |
|
|
| |
| elevenlabs_api_key = "3ea525bd0795cc4367ca2016f0327d96" |
|
|
| def generate_response(prompt): |
| response = openai.ChatCompletion.create( |
| model="gpt-3.5-turbo", |
| messages=[ |
| {"role": "system", "content": "You are a helpful assistant."}, |
| {"role": "user", "content": prompt} |
| ] |
| ) |
| return response.choices[0].message.content.strip() |
|
|
| def text_to_speech(text): |
| url = 'https://api.elevenlabs.io/v1/text-to-speech/21m00Tcm4TlvDq8ikWAM/stream?optimize_streaming_latency=0' |
| headers = { |
| 'accept': '*/*', |
| 'xi-api-key': elevenlabs_api_key, |
| 'Content-Type': 'application/json' |
| } |
| data = { |
| 'text': text, |
| 'model_id': 'eleven_monolingual_v1', |
| 'voice_settings': { |
| 'stability': 0, |
| 'similarity_boost': 0 |
| } |
| } |
| response = requests.post(url, headers=headers, data=json.dumps(data)) |
| return response.content |
|
|
| |
| while True: |
| user_input = input('User: ') |
| response = generate_response(user_input) |
| print('ChatGPT: ' + response) |
| speech = text_to_speech(response) |
| audio = Audio(data=speech, autoplay=True) |
| display(audio) |
