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| import tempfile | |
| import gradio as gr | |
| import openai | |
| from neon_tts_plugin_coqui import CoquiTTS | |
| def Question(Ask_Question): | |
| # pass the generated text to audio | |
| openai.api_key = "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" | |
| # Set up the model and prompt | |
| model_engine = "text-davinci-003" | |
| #prompt = "who is alon musk?" | |
| # Generate a response | |
| completion = openai.Completion.create( | |
| engine=model_engine, | |
| prompt=Ask_Question, | |
| max_tokens=1024, | |
| n=1, | |
| stop=None, | |
| temperature=0.5,) | |
| response = completion.choices[0].text | |
| #out_result=resp['message'] | |
| return response | |
| LANGUAGES = list(CoquiTTS.langs.keys()) | |
| default_lang = "en" | |
| import telnetlib | |
| #import whisper | |
| #whisper_model = whisper.load_model("small") | |
| whisper = gr.Interface.load(name="spaces/sanchit-gandhi/whisper-large-v2") | |
| #chatgpt = gr.Blocks.load(name="spaces/fffiloni/whisper-to-chatGPT") | |
| import os | |
| import json | |
| session_token = os.environ.get('SessionToken') | |
| #api_endpoint = os.environ.get('API_EndPoint') | |
| # ChatGPT | |
| #from revChatGPT.ChatGPT import Chatbot | |
| #chatbot = Chatbot({"session_token": session_token}) # You can start a custom conversation | |
| import asyncio | |
| from pygpt import PyGPT | |
| title = "Speech to ChatGPT to Speech" | |
| #info = "more info at [Neon Coqui TTS Plugin](https://github.com/NeonGeckoCom/neon-tts-plugin-coqui), [Coqui TTS](https://github.com/coqui-ai/TTS)" | |
| #badge = "https://visitor-badge-reloaded.herokuapp.com/badge?page_id=neongeckocom.neon-tts-plugin-coqui" | |
| coquiTTS = CoquiTTS() | |
| chat_id = {'conversation_id': None, 'parent_id': None} | |
| headers = {'Authorization': 'yusin'} | |
| async def chat_gpt_ask(prompt): | |
| chat_gpt = PyGPT(session_token) | |
| await chat_gpt.connect() | |
| await chat_gpt.wait_for_ready() | |
| answer = await chat_gpt.ask(prompt) | |
| print(answer) | |
| await chat_gpt.disconnect() | |
| # ChatGPT | |
| def chat_hf(audio, custom_token, language): | |
| #output = chatgpt(audio, "transcribe", fn_index=0) | |
| #whisper_text, gpt_response = output[0], output[1] | |
| try: | |
| whisper_text = translate(audio) | |
| if whisper_text == "ERROR: You have to either use the microphone or upload an audio file": | |
| gpt_response = "MISSING AUDIO: Record your voice by clicking the microphone button, do not forget to stop recording before sending your message ;)" | |
| else: | |
| #gpt_response = chatbot.ask(whisper_text, conversation_id=conversation_id, parent_id=None) | |
| gpt_response = asyncio.run(chat_gpt_ask(whisper_text, id='yusin')) | |
| #if chat_id['conversation_id'] != None: | |
| # data = {"content": whisper_text, "conversation_id": chat_id['conversation_id'], "parent_id": chat_id['parent_id']} | |
| #else: | |
| # data = {"content": whisper_text} | |
| #print(data) | |
| #res = requests.get('http://myip.ipip.net', timeout=5).text | |
| #print(res) | |
| #response = requests.post('api_endpoint', headers=headers, json=data, verify=False, timeout=5) | |
| #print('this is my answear', response.text) | |
| #chat_id['parent_id'] = response.json()["response_id"] | |
| #chat_id['conversation_id'] = response.json()["conversation_id"] | |
| #gpt_response = response.json()["content"] | |
| #response = requests.get('https://api.pawan.krd/chat/gpt?text=' + whisper_text + '&cache=false', verify=False, timeout=5) | |
| #print(response.text) | |
| #whisper_text = translate(audio) | |
| #api = ChatGPT(session_token) | |
| #resp = api.send_message(whisper_text) | |
| #api.refresh_auth() # refresh the authorization token | |
| #api.reset_conversation() # reset the conversation | |
| #gpt_response = resp['message'] | |
| except: | |
| whisper_text = translate(audio) | |
| gpt_response = """Sorry, I'm quite busy right now, but please try again later :)""" | |
| #whisper_text = translate(audio) | |
| #api = ChatGPT(custom_token) | |
| #resp = api.send_message(whisper_text) | |
| #api.refresh_auth() # refresh the authorization token | |
| #api.reset_conversation() # reset the conversation | |
| #gpt_response = resp['message'] | |
| ## call openai | |
| gpt_response = Question(whisper_text) | |
| # to voice | |
| with tempfile.NamedTemporaryFile(suffix=".wav", delete=False) as fp: | |
| coquiTTS.get_tts(gpt_response, fp, speaker = {"language" : language}) | |
| return whisper_text, gpt_response, fp.name | |
| # whisper | |
| #def translate(audio): | |
| # print(""" | |
| # — | |
| # Sending audio to Whisper ... | |
| # — | |
| # """) | |
| # | |
| # audio = whisper.load_audio(audio) | |
| # audio = whisper.pad_or_trim(audio) | |
| # | |
| # mel = whisper.log_mel_spectrogram(audio).to(whisper_model.device) | |
| # | |
| # _, probs = whisper_model.detect_language(mel) | |
| # | |
| # transcript_options = whisper.DecodingOptions(task="transcribe", fp16 = False) | |
| # | |
| # transcription = whisper.decode(whisper_model, mel, transcript_options) | |
| # | |
| # print("language spoken: " + transcription.language) | |
| # print("transcript: " + transcription.text) | |
| # print("———————————————————————————————————————————") | |
| # | |
| # return transcription.text | |
| def translate(audio): | |
| print(""" | |
| — | |
| Sending audio to Whisper ... | |
| — | |
| """) | |
| text_result = whisper(audio, None, "transcribe", fn_index=0) | |
| #print(text_result) | |
| return text_result | |
| with gr.Blocks() as blocks: | |
| gr.Markdown("<h1 style='text-align: center; margin-bottom: 1rem'>" | |
| + title | |
| + "</h1>") | |
| #gr.Markdown(description) | |
| radio = gr.Radio(label="Language",choices=LANGUAGES,value=default_lang) | |
| with gr.Row(equal_height=True):# equal_height=False | |
| with gr.Column():# variant="panel" | |
| audio_file = gr.Audio(source="microphone",type="filepath") | |
| custom_token = gr.Textbox(label='If it fails, use your own session token', placeholder="your own session token") | |
| with gr.Row():# mobile_collapse=False | |
| submit = gr.Button("Submit", variant="primary") | |
| with gr.Column(): | |
| text1 = gr.Textbox(label="Speech to Text") | |
| text2 = gr.Textbox(label="ChatGPT Response") | |
| audio = gr.Audio(label="Output", interactive=False) | |
| #gr.Markdown(info) | |
| #gr.Markdown("<center>" | |
| # +f'<img src={badge} alt="visitors badge"/>' | |
| # +"</center>") | |
| # actions | |
| submit.click( | |
| chat_hf, | |
| [audio_file, custom_token, radio], | |
| [text1, text2, audio], | |
| ) | |
| radio.change(lambda lang: CoquiTTS.langs[lang]["sentence"], radio, text2) | |
| blocks.launch(debug=True) | |