|
--- |
|
thumbnail: https://cdn.discordapp.com/app-icons/870239976690970625/c02cae78ae105f07969cfd8f8ea3d0a0.png |
|
tags: |
|
- conversational |
|
license: mit |
|
--- |
|
An generative AI made using [microsoft/DialoGPT-small](https://huggingface.co/microsoft/DialoGPT-small). |
|
|
|
Trained on: |
|
|
|
https://www.kaggle.com/Cornell-University/movie-dialog-corpus |
|
|
|
https://www.kaggle.com/jef1056/discord-data |
|
|
|
|
|
|
|
Important: |
|
The AI can be a bit weird at times as it is still undergoing training! |
|
At times it send stuff using :<random_wierd_words>: as they are discord emotes. |
|
It also send random @RandomName as it is trying to ping people. |
|
This works well on discord but on the web not so much but it is easy enough to remove such stuff using [re.sub](https://docs.python.org/3/library/re.html#re.sub) |
|
|
|
|
|
|
|
Issues: |
|
The AI like with all conversation AI lacks a character, it changes its name way too often. This can be solved using an AIML chatbot to give it a stable character! |
|
|
|
Example: |
|
```python |
|
from transformers import AutoTokenizer, AutoModelWithLMHead |
|
|
|
tokenizer = AutoTokenizer.from_pretrained("deepparag/DumBot") |
|
model = AutoModelWithLMHead.from_pretrained("deepparag/DumBot") |
|
# Let's chat for 4 lines |
|
for step in range(4): |
|
# 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=200, |
|
pad_token_id=tokenizer.eos_token_id, |
|
no_repeat_ngram_size=4, |
|
do_sample=True, |
|
top_k=100, |
|
top_p=0.7, |
|
temperature=0.8 |
|
) |
|
|
|
# pretty print last ouput tokens from bot |
|
print("DumBot: {}".format(tokenizer.decode(chat_history_ids[:, bot_input_ids.shape[-1]:][0], skip_special_tokens=True))) |
|
``` |
