FunASR/examples/industrial_data_pretraining/qwen_audio/demo_chat.py
zhifu gao 861147c730
Dev gzf exp (#1654)
* sensevoice finetune

* sensevoice finetune

* sensevoice finetune

* sensevoice finetune

* sensevoice finetune

* sensevoice finetune

* sensevoice finetune

* sensevoice finetune

* sensevoice finetune

* sensevoice finetune

* bugfix

* update with main (#1631)

* update seaco finetune

* v1.0.24

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Co-authored-by: 维石 <shixian.shi@alibaba-inc.com>

* sensevoice

* sensevoice

* sensevoice

* update with main (#1638)

* update seaco finetune

* v1.0.24

* update rwkv template

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Co-authored-by: 维石 <shixian.shi@alibaba-inc.com>

* sensevoice

* sensevoice

* sensevoice

* sensevoice

* sensevoice

* sensevoice

* sensevoice

* sensevoice

* sensevoice

* sensevoice

* sensevoice

* sensevoice

* sensevoice

* sensevoice

* sensevoice

* sense voice

* sense voice

* sense voice

* sense voice

* sense voice

* sense voice

* sense voice

* sense voice

* sense voice

* sense voice

* sense voice

* sense voice

* sense voice

* sense voice

* sense voice

* sense voice

* sense voice

* sense voice

* sense voice

* sense voice

* whisper

* whisper

* update style

* update style

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Co-authored-by: 维石 <shixian.shi@alibaba-inc.com>
2024-04-24 16:03:38 +08:00

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Python

#!/usr/bin/env python3
# -*- encoding: utf-8 -*-
# Copyright FunASR (https://github.com/alibaba-damo-academy/FunASR). All Rights Reserved.
# MIT License (https://opensource.org/licenses/MIT)
# To install requirements: pip3 install -U "funasr[llm]"
from funasr import AutoModel
model = AutoModel(model="Qwen-Audio-Chat")
audio_in = "https://github.com/QwenLM/Qwen-Audio/raw/main/assets/audio/1272-128104-0000.flac"
# 1st dialogue turn
prompt = "what does the person say?"
cache = {"history": None}
res = model.generate(input=audio_in, prompt=prompt, cache=cache)
print(res)
# 2nd dialogue turn
prompt = 'Find the start time and end time of the word "middle classes"'
res = model.generate(input=None, prompt=prompt, cache=cache)
print(res)