DialoGPT-medium-endella

Let's chat for 4 line

# encode the new user input, add the eos_token and return a tensor in Pytorch

new_user_input_ids = tokenizer.encode(input(">> User:") + tokenizer.eos_token, return_tensors='pt') # print(new_user_input_ids)

# append the new user input tokens to the chat history

bot_input_ids = torch.cat([chat_history_ids, new_user_input_ids], dim=-1) if step > 0 else new_user_input_ids

# generated a response while limiting the total chat history to 1000 tokens, 

chat_history_ids = model.generate(bot_input_ids, max_length=1000, pad_token_id=tokenizer.eos_token_id, temperature=0.6, repetition_penalty=1.3)

# pretty print last ouput tokens from bot

print("Endella: {}".format(tokenizer.decode(chat_history_ids[:, bot_input_ids.shape[-1]:][0], skip_special_tokens=True)))

Endella DialoGPT Model