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import gradio as gr
from transformers import AutoTokenizer, AutoModelForCausalLM
import torch
import os
model_name = "TheBloke/MythoMax-L2-13B-GGUF" # change this for OpenHermes
# Use token from environment
hf_token = os.environ.get("HF_TOKEN")
tokenizer = AutoTokenizer.from_pretrained(model_name, token=hf_token)
model = AutoModelForCausalLM.from_pretrained(model_name, token=hf_token, torch_dtype=torch.float16)
def chat(prompt):
inputs = tokenizer(prompt, return_tensors="pt")
outputs = model.generate(**inputs, max_new_tokens=200)
reply = tokenizer.decode(outputs[0], skip_special_tokens=True)
return reply
demo = gr.Interface(fn=chat, inputs="text", outputs="text")
demo.launch()
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