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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...
