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b6bdbfc | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 | import gradio as gr
from transformers import AutoTokenizer, AutoModelForCausalLM
import torch
model_name = "Qwen/Qwen2.5-Coder-1.5B-Instruct"
print("Loading model...")
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForCausalLM.from_pretrained(
model_name,
torch_dtype=torch.float32,
device_map="cpu"
)
def chat(pesan, history):
messages = [
{"role": "system", "content": "Kamu adalah AI coding expert."},
{"role": "user", "content": pesan}
]
text = tokenizer.apply_chat_template(
messages,
tokenize=False,
add_generation_prompt=True
)
inputs = tokenizer([text], return_tensors="pt")
outputs = model.generate(
**inputs,
max_new_tokens=2048
)
response = tokenizer.decode(
outputs[0][len(inputs.input_ids[0]):],
skip_special_tokens=True
)
return response
gr.ChatInterface(
fn=chat,
title="🤖 AI Coding Assistant",
description="Tanya apapun tentang coding!"
).launch() |