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| from dotenv import dotenv_values | |
| import openai | |
| import os | |
| from langchain.prompts import PromptTemplate | |
| from modules.gpt_modules import gpt_call | |
| import random | |
| """ | |
| apt-get update | |
| apt-get install ffmpeg | |
| """ | |
| config = dotenv_values(".env") | |
| openai.organization = config.get('OPENAI_ORGANIZATION') | |
| openai.api_key = config.get('OPENAI_API_KEY') | |
| def debate_in_sound(audio): | |
| os.rename(audio, audio + '.wav') | |
| file = open(audio + '.wav', "rb") | |
| # user_words | |
| user_prompt = openai.Audio.transcribe("whisper-1", file).text | |
| print("**************************************") | |
| print("user_audio transcription", user_prompt) | |
| print("**************************************") | |
| # 일단 테스트를 위해 고정함 | |
| debate_subject = "In 2050, AI robots are able to replicate the appearance, conversation, and reaction to emotions of human beings. However, their intelligence still does not allow them to sense emotions and feelings such as pain, happiness, joy, and etc." | |
| debate_role = [ | |
| "pro side", | |
| "con side", | |
| ] | |
| user_debate_role = random.choice(debate_role) | |
| bot_debate_role = "".join([role for role in debate_role if role != user_debate_role]) | |
| debate_preset = "\n".join([ | |
| "Debate Rules: ", | |
| "1) This debate will be divided into pro and con", | |
| "2) You must counter user's arguments", | |
| "3) Answer logically with an introduction, body, and conclusion.\n", #add this one. | |
| "User debate role: " + user_debate_role, | |
| "Bot debate roles: " + bot_debate_role + "\n", | |
| "Debate subject: " + debate_subject | |
| ]) | |
| prompt_template = PromptTemplate( | |
| input_variables=["prompt"], | |
| template="\n".join([ | |
| debate_preset, #persona | |
| "User: {prompt}", | |
| "Bot: " | |
| ]) | |
| ) | |
| bot_prompt = prompt_template.format( | |
| prompt=user_prompt | |
| ) | |
| response = gpt_call(bot_prompt) | |
| return response | |
| def transcribe(audio): | |
| audio_file= open("./audio.mp3", "rb") | |
| result = openai.Audio.transcribe("whisper-1", audio_file).text | |
| return result | |
| # gr.Interface( | |
| # title = 'Whisper Audio to Text with Speaker Recognition', | |
| # fn=debate, | |
| # inputs=[ | |
| # gr.inputs.Audio(source="microphone", type="filepath"), | |
| # #gr.inputs.Number(default=2, label="Number of Speakers") | |
| # ], | |
| # outputs="text" | |
| # ).launch() |