This project implements an AI-powered chatbot specializing in healthcare information. It uses a vector database for efficient information retrieval and a language model for generating responses. Features Answers medical questions using a combination of pre-stored information and AI-generated responses Uses...
Microsoft chatbot build using NLTK-Chatbot and django django chatbot microsoft-bot-framework chatbotai microsoft-chatbot Updated May 22, 2024 Python ahmadfaizalbh / FacebookMessengerBot Star 19 Code Issues Pull requests Facebook Messenger Bot built using Django and NLTK-Chatbot django chatbot...
AI-CHATBOT NLP-Preprocessing-Basic-Lecture-1: https://colab.research.google.com/drive/1_PAGewGTTMlP9jtasXJVzY49gem4S5GU?usp=sharing NLP-Sentiment-Classifier-Lecture-2: https://colab.research.google.com/drive/1KHg9Qu_Ub453yzqmODs4fjoDxVdl8Bkf?usp=sharing Dataset Kaggle Link - https://www...
You will need to use the environment variables defined in .env.example to run Next.js AI Chatbot. It's recommended you use Vercel Environment Variables for this, but a .env file is all that is necessary. Note: You should not commit your .env file or it will expose secrets that will ...
docker run -e OPENAI_API_KEY=xxxxxxxx -p 3000:3000 ghcr.io/mckaywrigley/chatbot-ui:main Running Locally 1. Clone Repo git clone https://github.com/mckaywrigley/chatbot-ui.git 2. Install Dependencies npm i 3. Provide OpenAI API Key Create a .env.local file in the root of the repo ...
ChatBot - Suppoort More Models English | 简体中文 AI application, supporting GPT, Gemini Pro, Cohere & Ollama models. iOS / Android / macOS / Telegram Feature Support GPT, Gemini Pro, DeepSeek, Kimi, 通义千问, 智谱, DeepSeek, Kimi, 零一万物, MiniMax, Cohere, 文心一言 & Ollama mo...
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Unlimited Chatbots Use Your Own OpenAI API Key Seamless Integration 🔑 Environment Variables Node-RED Environment Variables nodered uiUrl VECTORDB-CHROMA-HOST-NAME AIBOTDB-MONGO-HOST-NAME AIBOTDB-MONGO-DB-NAME AIBOTDB-MONGO-USER-NAME AIBOTDB-MONGO-PASSWORD OPENAI-KEY PINECONE-INDEX PINECONE-API-...
The AI Chatbot is a backend-driven tool aimed at transforming the way businesses interact with their customers through advanced AI capabilities. Developed by Telnyx — a leader in global connectivity solutions — this open-source project is designed to empower the community, enabling businesses to ...
Clone and navigate to chatbot directory. Install Flask framework and AIML module. pip install Flask pip install aiml Run the python server. python main.py Open http://127.0.0.1:5000 in your browser. You're done and let's chat with your Robot....