# coding=utf-8
# Copyright 2023 Authors of "A Watermark for Large Language Models" 
# available at https://arxiv.org/abs/2301.10226
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

from argparse import Namespace
args = Namespace()

arg_dict = {  
    "run_gradio": True,
    "model_name_or_path": "facebook/opt-125m",
    # "model_name_or_path": "facebook/opt-1.3b",
    # "model_name_or_path": "facebook/opt-2.7b",
    "max_new_tokens": 200,
    "use_sampling": True,
    "sampling_temp": 0.7,
    "use_gpu": True,
    "seeding_scheme": "markov_1",
    "gamma": 0.25,
    "delta": 2.0, 
    "normalizers": "",
    "ignore_repeated_bigrams": False,
}

args.__dict__.update(arg_dict)
print(args)

from demo_watermark import main

main(args)