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chat_demo.py
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# Copyright (c) 2024 PaddlePaddle Authors. All Rights Reserved.
#
# 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
import paddle
from paddlemix.models.internlm_xcomposer2.modeling import InternLMXComposer2ForCausalLM
from paddlemix.models.internlm_xcomposer2.tokenizer import InternLMXComposer2Tokenizer
paddle.set_grad_enabled(False)
def main(args):
if args.image_path is not None:
args.text = "<ImageHere>" + args.text
MODEL_PATH = args.model_name_or_path
# init model and tokenizer
model = InternLMXComposer2ForCausalLM.from_pretrained(MODEL_PATH).eval()
tokenizer = InternLMXComposer2Tokenizer.from_pretrained(MODEL_PATH)
with paddle.no_grad():
response, _ = model.chat(tokenizer, query=args.text, image=args.image_path, history=[], do_sample=False)
print(response)
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument(
"--model_name_or_path",
type=str,
default="internlm/internlm-xcomposer2-7b",
help="pretrained ckpt and tokenizer",
)
parser.add_argument("--image_path", type=str)
parser.add_argument("--text", type=str, required=True)
args = parser.parse_args()
main(args)