LiteRT-LM / python /litert_lm /examples /multimodal_main.py
SeaWolf-AI's picture
Upload full LiteRT-LM codebase
5f923cd verified
# Copyright 2026 The ODML Authors.
#
# 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.
"""Example of using multimodal LiteRT-LM with audio."""
import os
from typing import Sequence
from absl import app
from absl import flags
import litert_lm
_MODEL_PATH = flags.DEFINE_string(
"model_path", None, "Path to the model file.", required=True
)
_AUDIO_PATH = flags.DEFINE_string(
"audio_path", None, "Path to the audio file.", required=True
)
def main(argv: Sequence[str]) -> None:
if len(argv) > 1:
raise app.UsageError("Too many command-line arguments.")
audio_abs_path = os.path.abspath(_AUDIO_PATH.value)
with (
litert_lm.Engine(
_MODEL_PATH.value, audio_backend=litert_lm.Backend.CPU
) as engine,
engine.create_conversation() as conversation,
):
user_message = {
"role": "user",
"content": [
{
"type": "audio",
"path": audio_abs_path,
},
{"type": "text", "text": "Describe the audio."},
],
}
message = conversation.send_message(user_message)
print(f"Response: {message['content'][0]['text']}")
if __name__ == "__main__":
app.run(main)