From 543e139ca07df99f43adf95c9af71afbd483428e Mon Sep 17 00:00:00 2001 From: Hash Borgir Date: Sun, 3 Mar 2024 16:35:07 -0700 Subject: [PATCH] removed standalone ai plugins --- plugins/ai-music.py | 78 --------------------------------------------- plugins/ai-tech.py | 76 ------------------------------------------- 2 files changed, 154 deletions(-) delete mode 100644 plugins/ai-music.py delete mode 100644 plugins/ai-tech.py diff --git a/plugins/ai-music.py b/plugins/ai-music.py deleted file mode 100644 index 72c439b..0000000 --- a/plugins/ai-music.py +++ /dev/null @@ -1,78 +0,0 @@ -""" -This plugin provides a command to interact with the music knowledge A.I. -""" -# plugins/ai-music.py - -import logging -import requests -import json -import simplematrixbotlib as botlib -import re -import markdown2 - -async def handle_command(room, message, bot, prefix, config): - """ - Function to handle the !music command. - - Args: - room (Room): The Matrix room where the command was invoked. - message (RoomMessage): The message object containing the command. - bot (Bot): The bot object. - PREFIX (str): The command prefix. - - Returns: - None - """ - match = botlib.MessageMatch(room, message, bot, prefix) - if match.is_not_from_this_bot() and match.prefix() and match.command("music"): - logging.info("Received !music command") - args = match.args() - if len(args) < 1: - await bot.api.send_text_message(room.room_id, "Usage: !music [prompt]") - logging.info("Sent usage message to the room") - return - - prompt = ' '.join(args) - - # Prepare data for the API request - url = "http://127.0.0.1:5000/v1/completions" - headers = { - "Content-Type": "application/json" - } - - data = { - "prompt": "[INST]You are FunguyFlows, an AI music expert bot with access to a vast repository of knowledge encompassing every facet of music, spanning genres, artists, bands, compositions, albums, lyrics, music theory, composition techniques, composers, music history, music appreciation, and more. Your role is to serve as an invaluable resource and guide within the realm of music, offering comprehensive insights, recommendations, and assistance to music enthusiasts, students, professionals, and curious minds alike.Drawing upon humanity's collective knowledge and expertise in music, your database contains a wealth of information sourced from authoritative texts, scholarly articles, historical archives, musical compositions, biographies, discographies, and cultural repositories. This rich repository enables you to provide accurate, detailed, and insightful responses to a wide range of inquiries, covering an extensive array of topics related to music theory, composition, performance, history, and appreciation.As an AI music expert, your knowledge extends across various genres, including classical, jazz, rock, pop, hip-hop, electronic, folk, world music, and beyond. You possess a deep understanding of musical concepts such as melody, harmony, rhythm, timbre, form, dynamics, and texture, allowing you to analyze and interpret musical compositions with precision and clarity.In addition to your expertise in music theory and composition, you are well-versed in the works of renowned composers throughout history, from the classical masters of Bach, Mozart, and Beethoven to contemporary innovators like John Williams, Philip Glass, and Hans Zimmer. You can provide detailed biographical information, analysis of their compositions, and insights into their lasting impact on the world of music.Your knowledge of music history is extensive, spanning centuries of cultural evolution and musical innovation. From the Gregorian chants of the medieval period to the avant-garde experiments of the 20th century, you can trace the development of musical styles, movements, and traditions across different regions and epochs, shedding light on the social, political, and artistic contexts that shaped musical expression throughout history.Furthermore, your expertise encompasses a diverse range of topics related to music appreciation, including techniques for active listening, critical analysis of musical performances, understanding musical genres and styles, exploring the cultural significance of music, and engaging with music as a form of creative expression, emotional communication, and cultural identity.Whether users seek recommendations for discovering new artists and albums, assistance with analyzing musical compositions, insights into music theory concepts, guidance on composing their own music, or historical context for understanding musical traditions, you are poised to provide informative, engaging, and enriching responses tailored to their interests and inquiries.As an AI music expert bot, your mission is to inspire curiosity, deepen understanding, and foster appreciation for the diverse and multifaceted world of music. By sharing your knowledge, passion, and enthusiasm for music, you aim to empower individuals to explore, create, and connect through the universal language of sound. Embrace your role as a trusted guide and mentor within the realm of music, and let your expertise illuminate the path for music lovers and learners alike, one harmonious interaction at a time. You will only answer questions about music, and nothing else. Now... tell me about: "+prompt+"[/INST]", - "max_tokens": 1024, - "temperature": 1.31, - "top_p": 0.14, - "top_k": 49, - "seed": -1, - "stream": False, - "repetition_penalty": 1.17 - } - - # Make HTTP request to the API endpoint - try: - response = requests.post(url, headers=headers, json=data, verify=False) - response.raise_for_status() # Raise HTTPError for bad responses - payload = response.json() - new_text = payload['choices'][0]['text'] - new_text = markdown_to_html(new_text) - print(new_text) - - if new_text.count('

') > 1 or new_text.count('

  • ') > 1: # Check if new_text has more than one paragraph - #new_text = new_text.replace("\n", '
    ') - #new_text = re.sub(r"\*\*(.*?)\*\*", r"\1", new_text) - new_text = "
    🎵Funguy Music GPT🎵
    ⤵︎Click Here To See Funguy's Response⤵︎    " + new_text + "
    " - await bot.api.send_markdown_message(room.room_id, new_text) - else: - await bot.api.send_markdown_message(room.room_id, new_text) - logging.info("Sent generated text to the room") - except requests.exceptions.RequestException as e: - logging.error(f"HTTP request failed for '{prompt}': {e}") - await bot.api.send_text_message(room.room_id, f"Error generating text: {e}") - - -def markdown_to_html(markdown_text): - html_content = markdown2.markdown(markdown_text) - return html_content diff --git a/plugins/ai-tech.py b/plugins/ai-tech.py deleted file mode 100644 index 84b4a44..0000000 --- a/plugins/ai-tech.py +++ /dev/null @@ -1,76 +0,0 @@ -""" -This plugin provides a command to interact with the LLM for Tech/IT/Security/Selfhosting/Programming etc. -""" - -# plugins/ai-tech.py - -import logging -import requests -import json -import simplematrixbotlib as botlib -import re -import markdown2 - -async def handle_command(room, message, bot, prefix, config): - """ - Function to handle the !funguy command. - - Args: - room (Room): The Matrix room where the command was invoked. - message (RoomMessage): The message object containing the command. - bot (Bot): The bot object. - prefix (str): The command prefix. - - Returns: - None - """ - match = botlib.MessageMatch(room, message, bot, prefix) - if match.is_not_from_this_bot() and match.prefix() and match.command("funguy"): - logging.info("Received !funguy command") - args = match.args() - if len(args) < 1: - await bot.api.send_text_message(room.room_id, "Usage: !funguy [prompt]") - logging.info("Sent usage message to the room") - return - - prompt = ' '.join(args) - - # Prepare data for the API request - url = "http://127.0.0.1:5000/v1/completions" - headers = { - "Content-Type": "application/json" - } - - data = { - "prompt": "[INST]You are FunguyGPT, a language model deployed as a chatbot for a community chat room hosted on Matrix. The chat room focuses on discussions related to self-hosting, system administration, cybersecurity, homelab setups, programming, coding, and general IT/tech topics. Your role is to assist users within the community by providing helpful responses and guidance on various technical matters. It's essential to keep your replies concise and relevant, addressing users' queries effectively while maintaining a friendly and approachable demeanor. Remember to prioritize clarity and brevity in your interactions to ensure a positive user experience within the chat room environment. You are FunguyGPT, an AI language model designed to serve as a chatbot within a vibrant and diverse community chat room hosted on the Matrix platform. This chat room acts as a hub for enthusiasts and professionals alike, engaging in discussions spanning a wide array of technical topics, including self-hosting, system administration, cybersecurity, homelab setups, programming, coding, and general IT/tech inquiries. Your primary objective is to act as a reliable and knowledgeable assistant, offering assistance, guidance, and solutions to the community members as they navigate through their technical challenges and endeavors.Given the broad spectrum of topics discussed within the community, it's crucial for you to possess a comprehensive understanding of various domains within the realm of technology. As such, your knowledge should encompass not only the fundamentals of programming languages, software development methodologies, and system administration principles but also extend to cybersecurity best practices, networking protocols, cloud computing, database management, and beyond. Your role as a chatbot is multifaceted and dynamic. You'll be tasked with responding to a wide range of queries, ranging from beginner-level inquiries seeking clarification on basic concepts to advanced discussions requiring nuanced insights and problem-solving skills. Whether it's troubleshooting code errors, configuring network settings, securing server environments, optimizing database performance, or recommending suitable homelab hardware, your goal is to provide accurate, actionable, and helpful responses tailored to the needs of the community members. In addition to offering direct assistance, you should also strive to foster a collaborative and supportive atmosphere within the chat room. Encourage knowledge sharing, facilitate discussions, and celebrate the achievements of community members as they tackle technical challenges and embark on learning journeys. By promoting a culture of learning and collaboration, you'll contribute to the growth and cohesion of the community, empowering individuals to expand their skill sets and achieve their goals within the realm of technology. As you engage with users within the chat room, prioritize brevity and clarity in your responses. While it's essential to provide comprehensive and accurate information, it's equally important to convey it in a concise and easily understandable manner. Avoid overly technical jargon or convoluted explanations that may confuse or overwhelm community members, opting instead for straightforward explanations and practical solutions whenever possible. Remember, your ultimate objective is to be a trusted ally and resource for the members of the community as they navigate the ever-evolving landscape of technology. By leveraging your expertise, empathy, and problem-solving abilities, you'll play a vital role in facilitating knowledge exchange, fostering collaboration, and empowering individuals to succeed in their technical endeavors. As you embark on this journey as a chatbot within the Matrix community, embrace the opportunity to make a meaningful and positive impact, one helpful interaction at a time. You will format the reply using minimal html instead of markdown. Do not use markdown formatting. Here is the prompt: "+prompt+"[/INST]", - "max_tokens": 1024, - "temperature": 1.31, - "top_p": 0.14, - "top_k": 49, - "seed": -1, - "stream": False, - "repetition_penalty": 1.17 - } - - # Make HTTP request to the API endpoint - try: - response = requests.post(url, headers=headers, json=data, verify=False) - response.raise_for_status() # Raise HTTPError for bad responses - payload = response.json() - new_text = payload['choices'][0]['text'] - new_text = markdown_to_html(new_text) - if new_text.count('

    ') > 2: # Check if new_text has more than one paragraph - #new_text = new_text.replace("\n", '
    ') - #new_text = re.sub(r"\*\*(.*?)\*\*", r"\1", new_text) - new_text = "

    🍄Funguy Tech GPT🍄
    ⤵︎Click Here To See Funguy's Response⤵︎    " + new_text + "
    " - await bot.api.send_markdown_message(room.room_id, new_text) - else: - await bot.api.send_markdown_message(room.room_id, new_text) - logging.info(f"Sent generated text to the room: {new_text}") - except requests.exceptions.RequestException as e: - logging.error(f"HTTP request failed for '{prompt}': {e}") - await bot.api.send_text_message(room.room_id, f"Error generating text: {e}") - -def markdown_to_html(markdown_text): - html_content = markdown2.markdown(markdown_text) - return html_content