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| import os | |
| import gradio as gr | |
| HF_TOKEN = os.getenv('HF_TOKEN') | |
| hf_writer = gr.HuggingFaceDatasetSaver(HF_TOKEN, "Rick-bot-flags") | |
| title = "Have Fun With RickBot" | |
| description = """ | |
| <p> | |
| <center> | |
| The bot is trained on Rick and Morty dialogues Kaggle Dataset using DialoGPT. | |
| <img src="https://gradio.app/assets/img/rick.png"> | |
| </center> | |
| </p> | |
| """ | |
| article = "<p style='text-align: center'><a href='https://medium.com/geekculture/discord-bot-using-dailogpt-and-huggingface-api-c71983422701' target='_blank'>Complete Tutorial</a></p><p style='text-align: center'><a href='https://dagshub.com/kingabzpro/DailoGPT-RickBot' target='_blank'>Project is Available at DAGsHub</a></p></center></p>" | |
| from transformers import AutoModelForCausalLM, AutoTokenizer | |
| import torch | |
| tokenizer = AutoTokenizer.from_pretrained("kingabzpro/DialoGPT-small-Rick-Bot") | |
| model = AutoModelForCausalLM.from_pretrained("kingabzpro/DialoGPT-small-Rick-Bot") | |
| def predict(input, history=[]): | |
| # tokenize the new input sentence | |
| new_user_input_ids = tokenizer.encode(input + tokenizer.eos_token, return_tensors='pt') | |
| # append the new user input tokens to the chat history | |
| bot_input_ids = torch.cat([torch.LongTensor(history), new_user_input_ids], dim=-1) | |
| # generate a response | |
| history = model.generate(bot_input_ids, max_length=1000, pad_token_id=tokenizer.eos_token_id).tolist() | |
| # convert the tokens to text, and then split the responses into lines | |
| response = tokenizer.decode(history[0]).replace("<|endoftext|>", "\n") | |
| return response, history | |
| gr.Interface(fn = predict, inputs = ["textbox","state"], outputs = ["chatbot","state"],allow_flagging = "manual",theme ="grass",title = title, flagging_callback = hf_writer, description = description, article = article ).launch(enable_queue=True) # customizes the input component | |
| #theme ="grass", | |
| #title = title, | |
| #flagging_callback=hf_writer, | |
| #description = description, | |
| #article = article |