SALMONN / cli_inference.py
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chore: add lora alpha
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# Copyright (2023) Tsinghua University, Bytedance Ltd. and/or its affiliates
#
# 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.
import argparse
from model import SALMONN
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument("--device", type=str, default="cuda:0")
parser.add_argument("--ckpt_path", type=str, default=None)
parser.add_argument("--whisper_path", type=str, default=None)
parser.add_argument("--beats_path", type=str, default=None)
parser.add_argument("--vicuna_path", type=str, default=None)
parser.add_argument("--lora_alpha", type=int, default=32)
parser.add_argument("--low_resource", action='store_true', default=False)
parser.add_argument("--debug", action="store_true", default=False)
args = parser.parse_args()
model = SALMONN(
ckpt=args.ckpt_path,
whisper_path=args.whisper_path,
beats_path=args.beats_path,
vicuna_path=args.vicuna_path,
lora_alpha=args.lora_alpha,
low_resource=args.low_resource
)
model.to(args.device)
model.eval()
while True:
print("=====================================")
wav_path = input("Your Wav Path:\n")
prompt = input("Your Prompt:\n")
try:
print("Output:")
print(model.generate(wav_path, prompt=prompt)[0])
except Exception as e:
print(e)
if args.debug:
import pdb; pdb.set_trace()