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from transformers import AutoModelForCausalLM, AutoTokenizer
import torch
class ChatModel:
def __init__(self):
self.tokenizer = AutoTokenizer.from_pretrained("mistralai/Mistral-7B-Instruct-v0.1", token=True)
self.model = AutoModelForCausalLM.from_pretrained(
"mistralai/Mistral-7B-v0.1",
torch_dtype=torch.float16,
token=True
)
async def generate_response(self, input_text):
inputs = self.tokenizer(input_text, return_tensors="pt").to(self.model.device)
outputs = self.model.generate(
**inputs,
max_length=100,
num_return_sequences=1,
temperature=0.7
)
response = self.tokenizer.decode(outputs[0], skip_special_tokens=True)
return response |