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Conversational Chatbot using Transformers and Streamlit | by AI Brewery | Nov, 2021

11Jan

By AI BreweryNo Comments

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Conversational Chatbot using Transformers and Streamlit | by AI Brewery | Nov, 2021

Transformers: This library brings together over 40 state-of-the-art pre-trained NLP models (BERT, GPT-2, Roberta, etc..)Torch: Python-based scientific computing packageStreamlit: To create a custom web app.# Install Transformers!pip install transformers!pip install torch!pip install streamlitImporting the libraries that are required to perform operations on the dataset.import streamlit as stimport torchimport transformersfrom transformers import AutoModelForCausalLM, AutoTokenizerStreamlit cache, caches the tokenizer and the model. This avoids reloading of the tokenizer and the model and thus improving the performance.@st.cache(hash_funcs={transformers.models.gpt2.tokenization_gpt2_fast.GPT2TokenizerFast: hash}, suppress_st_warning=True)def load_data(): tokenizer = AutoTokenizer.from_pr...

NLP based Chatbot in PyTorch. Bonus Flask and JavaScript deployment | by Victoria Maslova | Oct, 2021

8Oct

By Victoria MaslovaNo Comments

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NLP based Chatbot in PyTorch. Bonus Flask and JavaScript deployment | by Victoria Maslova | Oct, 2021

Among the various ways you can improve customer satisfaction, chatbots are a powerful solution to help the customer base. Chatbots are affordable, help scale your business, fully customizable, help your customers find the right products/services, and help build trust for your business. To prove this I’ll go through following content:What is a machine learning chatbot?Why chatbots are important in different business spheres?Build you own NLP based chatbot using PyTorch.Deploy chatbot in Javascript and Flask.A chatbot (Conversational AI) is an automated program that simulates human conversation through text messages, voice chats, or both. It learns to do that based on a lot of inputs, and Natural Language Processing (NLP).For the sake of semantics, chatbots and conversational assistants will...

Making a Rick & Morty Chatbot for Chai | by Reiss Edler | Aug, 2021

20Aug

By Reiss EdlerNo Comments

ai bot, ai chat, ai chatbot, best chatbot, chatbot, chatbot ai, chatbot app, chatbot online, chatbot website, chatbots, conversation with ai, creating chatbots, google chat bots, nlp, python, pytorch, robot chat, transformers

Making a Rick & Morty Chatbot for Chai | by Reiss Edler | Aug, 2021

Rick Bot in actionWe’re going to be making a chatbot, based on Microsoft’s DialoGPT. I’ve seen lots of other guides on training chatbots, but I haven’t come across one which actually deploys the bot. This tutorial will cover deploying our new bot to Chai, a platform for creating and interacting with conversational AI’s. It will allow us to chat with the bot through a mobile app, from anywhere, at any time. We will also be able to see performance stats and watch our bot climb the Chai bot leaderboard.By the end of this tutorial you will have your very own chatbot, like the one pictured above 😎If you would rather start off small, head over to the chai docs for a much simpler and shorter tutorial on creating your first bot!I made a Google Colab notebook which allows you to run all of ...

Language Translation with Transformers in PyTorch | by Deep Gan Team | Jan, 2021

28Jan

By Deep Gan TeamNo Comments

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Language Translation with Transformers in PyTorch | by Deep Gan Team | Jan, 2021

Mike Wang, John Inacay, and Wiley Wang (All authors contributed equally)If you’ve been using online translation services, you may have noticed that the translation quality has significantly improved in recent years. Since it was introduced in 2017, the Transformer deep learning model has rapidly replaced the recurrent neural network (RNN) model as the model of choice in natural language processing tasks. However, Transformer models, like OpenAI’s Generative Pre-trained Transformer (GPT) and Google’s Bidirectional Encoder Representations from Transformers (BERT) models, have quickly replaced RNNs as the network architecture of choice for Natural Language Processing (NLP). With the Transformer’s parallelization ability and the utilization of modern computing power, these models are big and f...