kyloegraves/android

1#2 3 4from transformers import AutoModelForCausalLM, AutoTokenizer5import gradio as gr6import torch7 8 9title = "????AI ChatBot"10description = "A State-of-the-Art Large-scale Pretrained Response generation model (DialoGPT)"11examples = [["How are you?"]]12 13 14tokenizer = AutoTokenizer.from_pretrained("microsoft/DialoGPT-large")15model = AutoModelForCausalLM.from_pretrained("microsoft/DialoGPT-large")16 17 18def predict(input, history=[]):19    # tokenize the new input sentence20    new_user_input_ids = tokenizer.encode(21        input + tokenizer.eos_token, return_tensors="pt"22    )23 24    # append the new user input tokens to the chat history25    bot_input_ids = torch.cat([torch.LongTensor(history), new_user_input_ids], dim=-1)26 27    # generate a response28    history = model.generate(29        bot_input_ids, max_length=4000, pad_token_id=tokenizer.eos_token_id30    ).tolist()31 32    # convert the tokens to text, and then split the responses into lines33    response = tokenizer.decode(history[0]).split("<|endoftext|>")34    # print('decoded_response-->>'+str(response))35    response = [36        (response[i], response[i + 1]) for i in range(0, len(response) - 1, 2)37    ]  # convert to tuples of list38    # print('response-->>'+str(response))39    return response, history40 41 42gr.Interface(43    fn=predict,44    title=title,45    description=description,46    examples=examples,47    inputs=["text", "state"],48    outputs=["chatbot", "state"],49    theme="finlaymacklon/boxy_violet",50).launch()