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| import openai | |
| import os | |
| import random | |
| from langchain.prompts import PromptTemplate | |
| from modules.gpt_modules import gpt_call | |
| # from dotenv import dotenv_values | |
| # config = dotenv_values(".env") | |
| # if config: | |
| # openai.organization = config.get('OPENAI_ORGANIZATION') | |
| # openai.api_key = config.get('OPENAI_API_KEY') | |
| # else: | |
| # openai.organization = st.secrets['OPENAI_ORGANIZATION'] #config.get('OPENAI_ORGANIZATION') | |
| # openai.api_key = st.secrets['OPENAI_API_KEY'] #config.get('OPENAI_API_KEY') | |
| def debate_in_sound(api_key, audio): | |
| os.rename(audio, audio + '.wav') | |
| file = open(audio + '.wav', "rb") | |
| openai.api_key = api_key | |
| # user_words | |
| user_prompt = openai.Audio.transcribe("whisper-1", file).text | |
| print("**************************************") | |
| print("user_audio transcription", user_prompt) | |
| print("**************************************") | |
| # Testing Prompt | |
| 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(api_key, bot_prompt) | |
| return response | |
| def whisper_transcribe(api_key, audio_file): | |
| openai.api_key = api_key | |
| audio_file= open("audio/audio.wav", "rb") | |
| result = openai.Audio.transcribe("whisper-1", audio_file).text | |
| audio_file.close() | |
| return result | |