Spaces:
Sleeping
Sleeping
""" | |
Adapted from: | |
https://mandgie.medium.com/how-to-build-your-own-chatbot-f5848ebcba8d | |
""" | |
from transformers import BlenderbotSmallTokenizer, BlenderbotSmallForConditionalGeneration | |
import os | |
class BlenderBot: | |
def __init__( | |
self, | |
model_name: str ='facebook/blenderbot_small-90M', | |
): | |
if not os.path.exists('./models/blenderbot'): | |
BlenderbotSmallForConditionalGeneration.from_pretrained(model_name).save_pretrained('./models/blenderbot') | |
BlenderbotSmallTokenizer.from_pretrained(model_name).save_pretrained('./models/blenderbot') | |
self.model = BlenderbotSmallForConditionalGeneration.from_pretrained('./models/blenderbot') | |
self.tokenizer = BlenderbotSmallTokenizer.from_pretrained('./models/blenderbot') | |
def __call__(self, inputs: str) -> str: | |
inputs_tokenized = self.tokenizer(inputs, return_tensors='pt') | |
reply_ids = self.model.generate(**inputs_tokenized) | |
reply = self.tokenizer.batch_decode(reply_ids, skip_special_tokens=True)[0] | |
return reply | |
def run(self): | |
while True: | |
user_input = input("User: ") | |
print("Bot:", self(user_input)) |