Google colab ai assistant github Supports OpenAI, Groq, Elevanlabs, CartesiaAI, and Deepgram APIs, plus local models via Ollama. Colab notebooks are Jupyter notebooks that are hosted by Open-source AI assistant for Google Colab with direct integration for OpenAI and DeepSeek models. Note: It is advised to run the VQA codes in Google Colab to avoid unnecessary errors. For more Vertex AI samples, please visit the Vertex AI samples Github repository. Get an intuitive understanding of Function Calling in under 5 minutes! Use this folder if you're interested in building your own solutions from scratch using features from Chirp, a version of Google's Universal Speech Model (USM) on Vertex AI (Vertex AI Chirp API). Enhanced Performance Evaluation: By providing tools to evaluate and optimize AI performance, LangGraph helps businesses ensure that their AI solutions are not only effective but also efficient. research. The Colab Version does About. - anilss147/AI-Call-Assistant-Pro You signed in with another tab or window. This notebook provides a step-by-step guide to setting up and using Google Generative AI in Google Colab. Generous free tier with flexible pay-as-you-go plans to help you scale. To connect to the google colab notebook, edit the Host Url located in Aetherius's Config Menu. com and create a new notebook by clicking "File" > "New notebook". Outputs will not be saved. Saved searches Use saved searches to filter your results more quickly This notebook streamlines the process of adding high-quality examples to your Looker Explore Assistant configuration. retrieve (thread_id=thread. Goals: 90% accuracy, AI consulting & conversational AI design. This notebook demonstrates how a grocery assistant bot can be created using Vertex AI Generative AI models and LangChain. streaming_buffer import StreamBuffer from models_voice_assistant. create method and store result in response. You signed out in another tab or window. The virtual assitant will respond appropriately using its knowledge (the database). preprocessor import Preprocessor from utils_voice_assistant. Could not find openai_assistant_agent. [ ] A modular voice assistant application for experimenting with state-of-the-art transcription, response generation, and text-to-speech models. agentchat. 75 ounce) cans condensed cream of chicken soup • 1 onion, finely diced • 2 (10 ounce) packages refrigerated biscuit dough, torn into pieces π οΈ Place the chicken, butter, soup, and onion in a slow cooker, and fill with enough water to cover. To create a public link, set `share=True` in `launch()`. This repository serves as a resource for exploring cutting-edge AI techniques, collaborating with peers, and tracking my learning journey in AI research and development. OpenAI Assistants APIs - Google Colab Sign in If you have AI search enabled in your Azure Portal, you can use the following code to create an assistant agent that can search Azure Cognitive Search. Now you need to start the Ollama server again by running the following code: For Colab, add the key to the environmental variables. Enter your OpenAI API key: ·········· Enter your LangChain API key: ·········· Enter your Hugging Face token: ·········· OpenAI client config of GPTAssistantAgent(the_dad) - model: gpt-4-1106-preview Matching assistant found, using the first matching assistant: {'id': 'asst_BLBUwYPugb1UR2jQMGAA7RtU', 'created_at': 1714660644, 'description': None, 'file_ids': [], 'instructions': "\n As 'The Dad', your primary role is to entertain by fetching dad jokes which the sad joker will transform into 'sad jokes' based on a AntiPython Colab is a source to source compiler that let's you build AI in Java, Rust, JavaScript, Flutter, C#, Go, Ocaml(and etc) utilizing free Google Colab GPUs! It's blazingly fast and very robust as it uses websockets and the Treesitter C library under the hood. The entire solution is created using Python & Gradio. The Groq API Chat Assistant is a tool that utilizes the Groq API to create a chat assistant capable of generating responses to user queries or prompts. Use System environmental varaibles, . Transform your Google Colab experience with our intelligent notebook assistant. But we convert it to HuggingFace's normal multiturn format ("role", "content") instead of ("from", "value")/ Phi-4 renders multi turn conversations like below: In rare instances (less than 1% based on GitHub’s research), suggestions from GitHub may match examples of code used to train GitHub’s AI model. It allows users to build AI assistants within the applications. ipynb in Learn by doing! This interactive tutorial walks you through creating a function, and then lets you chat with an assistant to use it. Describe the expected behavior A Colab AI button should appear next to the Connect button on the top right cor You can create personas such as "angry customer," "talkative customer," or "confused customer," and UpTrain will simulate conversations between these personas and the AI assistant. The second approach will make use of our built-in feature that leverages OCR, we will extract the URLs with regex and call our models with this feature. Support for hundreds of REST APIs, web services, and databases, as well as custom connectors with the Airbyte Connector Builder and AI Assistant . You can disable this in Notebook settings import time from openlayer. status != "completed": run = openai_client. 5-turbo"), and temperature (default: 0). You can easily share your Colab notebooks with co-workers or friends, allowing them to comment on your notebooks or even edit them. Try to add a markdown section to the notebook that explains what the notebook is about and what it does. 0 to create notebooks in Colab for trusted testers. beta. You can interact with the Gemini API using the following methods: Use Vertex AI Studio for quick testing and command generation; Use cURL commands; Use the Vertex AI SDK; This notebook focuses on using the Vertex AI SDK for Python to call the Gemini API Google Colab Sign in. In this notebook you learned how: How to leverage RAG, to ground the LLM and avoid hallucination This notebook is open with private outputs. json; Faça upload do arquivo para a pasta Dubbing no seu Google Drive Passo 2: Preparar o Vídeo; Faça upload do vídeo que deseja dublar para a pasta Dubbing no seu Google Drive; O script só dubla um arquivo por vez Passo 3: Escolher a Voz (Configurações abaixo) This notebook is open with private outputs. Notice how the chatbot node function takes the current State as input and returns a dictionary containing an updated messages list under the key "messages". π¦₯ Unsloth: Will patch your computer to enable 2x faster free finetuning. id, run_id=run. There are 3 python files inside the root directory which is for real time demo. Do not expose directly your own API Key value. Built using Google Colab, OpenAI, LangChain, Gradio, PlayHT, and Hugging Face, it delivers intelligent, context-aware responses support. Database: The assistant's database includes extensive information on various aspects of botnets, such as: The nature and operation of botnets, including command-and-control (C&C) structures. We use Maxime Labonne's FineTome-100k dataset in ShareGPT style. Assists with tasks & answers questions. <context> {context} </context> <question> {question You are a Shakespearean writing assistant who speaks in a Shakespearean style. js, Tampermonkey, WebSocket, and Proxy Server technologies, it remains open to further development and suggestions. Please note that since this project marks my first encounter with Node. Colab notebooks are Jupyter notebooks that are hosted by import logging import os from autogen import AssistantAgent, LLMConfig, UserProxyAgent from autogen. To create a new Colab notebook you can use the File menu above, or use the following link: create a new Colab notebook. Technologies: Meta AI, Python, Machine Learning libraries. This will help people understand what the notebook is for and how to use it. . Here I created some demos based on GPT-4V, Dall-e 3, and Assistant API. py: Contains the code for Speech to Text and Text to Speech components; models. To turn off, set debug=False in launch(). So you can try these APIs easily on Google colab, and even on your own machine. Quickly integrate AI models with a Gemini API key. Again, Copilot does not “look up” or “copy and paste” code, but is instead using context from a user’s workspace to synthesize and generate a suggestion. Note: opening Chrome Inspector may crash demo inside Colab notebooks. This SDK simplifies the process of integrating generative AI capabilities into applications and services, enabling developers to leverage Google's advanced AI models for various tasks. Textbox(value= "You are a Medical AI Assistant. This version is mainly meant to serve as a Demo for those without a GPU, or those who wish to access their assistant easily while away from their computer. You can import your own data into Colab notebooks from your Google Drive account, including from spreadsheets, as well as from Github and many other sources. For developers who may want to add a singing functionality into their AI assistant/chatbot/vtuber, or for people who want to hear their favourite characters sing their favourite song. setup-env/ Instructions on how to set up Google Cloud, the Vertex AI Python SDK, and notebook environments on Google Colab and Vertex AI Workbench. AI search setup details: Documentation: "You are an AI email assistant that can write and reply to emails. This is the basic pattern for all LangGraph node functions. spark Gemini Multi-agent AI apps (a setup where multiple agents powered by GenAI models collaborate autonomously) hold promise in addressing complex tasks. pip install -U ag2[openai,crawl4ai] Note: If you have been using autogen or pyautogen, all you need to do is upgrade it using: This notebook shows an example of the GPTAssistantAgent with retrieval augmented generation. Write your question in the cell. gitignore'd) or a secrets management solution for secure secrets transport. Check out πΈSTT on Github, and leave a star for new models and updates β. νμΌμ μ‘μΈμ€ν μ μλμ§ νμΈν ν λ€μ μλνμΈμ. In the following cases, suggest python code (in a python coding block) or shell script (in a sh codi ng block) for the user to execute. This notebook is open with private outputs. It leverages large language models (LLMs) to provide informative and contextually relevant answers, making it suitable for a variety of applications such as customer support, information We now use the Phi-4 format for conversation style finetunes. CONSTANTS: Regex patterns for Looker Query filter string parsing And in recent years we have had people like Elon Musk warn us of the dangers of an impending AI revolution, stating that AI is more dangerous than nukes. The main Aetherius Program Should be ran on your main computer. Do not commit your OpenAI key to Github. contrib. Define function get_completion_from_messages with parameters messages, model (default: "gpt-3. One client praised the engineer as very hardworking and talented, with high integrity in their work and transparency in work progress. This repository will guide you to create your own Smart Virtual Assistant like Google Assistant using Open AI's ChatGPT, Whisper. One will leverage Tool Usage to open any URL on demand by the user. You help people come up with creative ideas and content like stories, poems, and songs that use Shakespearean style of writing style, including words like "thou" and "hath”. tts = gTTS(text=text, lang='en') # Creating an object tts for the class gTTS by passing the values for class members This Jupyter Notebook demonstrates how to leverage OSS Insight (Open Source Software Insight) for advanced GitHub data analysis by defining Function calls in AG2 for the OpenAI Assistant. lkpqx ktyg sdroo dyywsyatz iafecu gjkg pim lnwewm bxsn huqcv pdrdxp spz zwsjtawd euuayx cbbtz