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add model init in Multimodal Live Streaming code #733

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merged 1 commit into from
Jan 16, 2025
Merged

add model init in Multimodal Live Streaming code #733

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18 changes: 15 additions & 3 deletions README.md
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Original file line number Diff line number Diff line change
Expand Up @@ -2197,8 +2197,8 @@ from moviepy.editor import VideoFileClip
import tempfile
import librosa
import soundfile as sf

## make sure The model has been initialized and `model.init_tts()` has been executed
import torch
from transformers import AutoModel, AutoTokenizer

def get_video_chunk_content(video_path, flatten=True):
video = VideoFileClip(video_path)
Expand All @@ -2223,7 +2223,19 @@ def get_video_chunk_content(video_path, flatten=True):

return contents

video_path="/path/to/video"

model = AutoModel.from_pretrained('openbmb/MiniCPM-o-2_6', trust_remote_code=True,
attn_implementation='sdpa', torch_dtype=torch.bfloat16)
model = model.eval().cuda()
tokenizer = AutoTokenizer.from_pretrained('openbmb/MiniCPM-o-2_6', trust_remote_code=True)

model.init_tts()

# If you are using an older version of PyTorch, you might encounter this issue "weight_norm_fwd_first_dim_kernel" not implemented for 'BFloat16', Please convert the TTS to float32 type.
# model.tts.float()

# https://huggingface.co/openbmb/MiniCPM-o-2_6/blob/main/assets/Skiing.mp4
video_path="assets/Skiing.mp4"
sys_msg = model.get_sys_prompt(mode='omni', language='en')
# if use voice clone prompt, please set ref_audio
# ref_audio_path = '/path/to/ref_audio'
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18 changes: 15 additions & 3 deletions README_zh.md
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Original file line number Diff line number Diff line change
Expand Up @@ -2179,8 +2179,8 @@ from moviepy.editor import VideoFileClip
import tempfile
import librosa
import soundfile as sf

## make sure The model has been initialized and `model.init_tts()` has been executed
import torch
from transformers import AutoModel, AutoTokenizer

def get_video_chunk_content(video_path, flatten=True):
video = VideoFileClip(video_path)
Expand All @@ -2205,7 +2205,19 @@ def get_video_chunk_content(video_path, flatten=True):

return contents

video_path="/path/to/video"

model = AutoModel.from_pretrained('openbmb/MiniCPM-o-2_6', trust_remote_code=True,
attn_implementation='sdpa', torch_dtype=torch.bfloat16)
model = model.eval().cuda()
tokenizer = AutoTokenizer.from_pretrained('openbmb/MiniCPM-o-2_6', trust_remote_code=True)

model.init_tts()

# If you are using an older version of PyTorch, you might encounter this issue "weight_norm_fwd_first_dim_kernel" not implemented for 'BFloat16', Please convert the TTS to float32 type.
# model.tts.float()

# https://huggingface.co/openbmb/MiniCPM-o-2_6/blob/main/assets/Skiing.mp4
video_path="assets/Skiing.mp4"
sys_msg = model.get_sys_prompt(mode='omni', language='en')
# if use voice clone prompt, please set ref_audio
# ref_audio_path = '/path/to/ref_audio'
Expand Down