Comments (12)
经过打印apps/msgpt/predict.py的stream_predict的response变量,发现response可以输出大模型返回的结果,但不知道为什么response发送给chatbot变量后没有在前端展示。
from modelscope-agent.
您好,可以提供一下您的gradio版本,我这边复现一下,您可以先使用release/0.3.0分支的apps/agentfabric的方式构建
from modelscope-agent.
你好,我用的gradio==3.47.1版本。
from modelscope-agent.
所有包的版本信息如下
absl-py 2.1.0
accelerate 0.24.1
addict 2.4.0
aiofiles 23.2.1
aiohttp 3.8.4
aiosignal 1.3.1
aliyun-python-sdk-core 2.13.36
aliyun-python-sdk-kms 2.16.1
altair 5.2.0
annotated-types 0.6.0
anyio 3.7.1
appdirs 1.4.4
asttokens 2.4.1
astunparse 1.6.3
async-timeout 4.0.2
attrs 23.1.0
auto-gptq 0.5.1
backoff 2.2.1
beautifulsoup4 4.12.3
blinker 1.7.0
cachetools 5.3.2
certifi 2023.11.17
cffi 1.15.1
chardet 5.2.0
charset-normalizer 3.2.0
cld2-cffi 0.1.4
click 8.1.7
cmake 3.26.4
colorama 0.4.6
coloredlogs 15.0.1
comm 0.2.0
contourpy 1.2.0
cpm-kernels 1.0.11
crcmod 1.7
cryptography 41.0.2
cycler 0.12.1
dacite 1.8.1
dashscope 1.14.0
dataclasses-json 0.6.3
datasets 2.8.0
debugpy 1.8.0
decorator 4.4.2
deepspeed 0.12.3
dill 0.3.6
distro 1.9.0
docstring-parser 0.15
einops 0.6.1
emoji 2.10.0
et-xmlfile 1.1.0
evaluate 0.4.1
exceptiongroup 1.2.0
executing 2.0.1
faiss-cpu 1.7.4
fastapi 0.104.1
fasttext-wheel 0.9.2
ffmpy 0.3.1
filelock 3.12.2
filetype 1.2.0
flash-attn 2.3.5
fonttools 4.46.0
frozenlist 1.4.0
fschat 0.2.34
fsspec 2023.6.0
gast 0.5.4
gekko 1.0.6
gitdb 4.0.11
GitPython 3.1.40
google-auth 2.26.2
google-auth-oauthlib 1.2.0
gradio 3.47.1
gradio_client 0.6.0
greenlet 3.0.3
grpcio 1.60.0
h11 0.14.0
hanlp 2.1.0b54
hanlp-common 0.0.19
hanlp-downloader 0.0.25
hanlp-trie 0.0.5
hf_transfer 0.1.4
hjson 3.1.0
httpcore 1.0.2
httpx 0.25.2
huggingface-hub 0.20.3
humanfriendly 10.0
icetk 0.0.4
idna 3.4
imageio 2.33.1
imageio-ffmpeg 0.4.9
importlib-metadata 6.8.0
importlib-resources 6.1.1
iniconfig 2.0.0
ipykernel 6.27.1
ipython 8.18.1
jedi 0.19.1
jieba 0.42.1
Jinja2 3.1.2
jmespath 0.10.0
joblib 1.3.2
jsonpatch 1.33
jsonpath-python 1.0.6
jsonplus 0.8.0
jsonpointer 2.4
jsonschema 4.20.0
jsonschema-specifications 2023.11.2
jupyter_client 8.6.0
jupyter_core 5.5.0
kiwisolver 1.4.5
langchain 0.0.352
langchain-community 0.0.11
langchain-core 0.1.9
langchain-experimental 0.0.47
langdetect 1.0.9
langsmith 0.0.79
latex2mathml 3.77.0
lit 16.0.6
loguru 0.7.2
lxml 5.1.0
Markdown 3.5.1
markdown-cjk-spacing 0.2.2
markdown-it-py 3.0.0
markdown-katex 202112.1034
markdown2 2.4.12
MarkupSafe 2.1.3
marshmallow 3.20.2
matplotlib 3.8.2
matplotlib-inline 0.1.6
mdtex2html 1.2.0
mdurl 0.1.2
mdx-truly-sane-lists 1.3
modelscope 1.9.5
moviepy 1.0.3
mpmath 1.3.0
ms-swift 1.5.3
multidict 6.0.4
multiprocess 0.70.14
mypy-extensions 1.0.0
nest-asyncio 1.5.8
networkx 3.1
nh3 0.2.15
ninja 1.11.1.1
nltk 3.8.1
numpy 1.23.5
nvidia-cublas-cu11 11.10.3.66
nvidia-cuda-cupti-cu11 11.7.101
nvidia-cuda-nvrtc-cu11 11.7.99
nvidia-cuda-runtime-cu11 11.7.99
nvidia-cudnn-cu11 8.5.0.96
nvidia-cufft-cu11 10.9.0.58
nvidia-curand-cu11 10.2.10.91
nvidia-cusolver-cu11 11.4.0.1
nvidia-cusparse-cu11 11.7.4.91
nvidia-nccl-cu11 2.14.3
nvidia-nvtx-cu11 11.7.91
oauthlib 3.2.2
openai 1.6.1
opencv-python 4.9.0.80
openpyxl 3.1.2
optimum 1.14.1
orjson 3.9.10
oss2 2.18.1
packaging 23.2
pandas 2.0.3
parso 0.8.3
pathlib2 2.3.7.post1
peft 0.7.1
pexpect 4.9.0
phrasetree 0.0.8
Pillow 10.0.0
pip 23.1.2
platformdirs 3.9.1
pluggy 1.3.0
proglog 0.1.10
prompt-toolkit 3.0.41
protobuf 3.20.0
psutil 5.9.5
ptyprocess 0.7.0
pure-eval 0.2.2
py-cpuinfo 9.0.0
pyarrow 12.0.1
pyasn1 0.5.1
pyasn1-modules 0.3.0
pybind11 2.11.1
pycparser 2.21
pycryptodome 3.18.0
pydantic 2.1.1
pydantic_core 2.4.0
pydeck 0.8.1b0
pydub 0.25.1
Pygments 2.17.2
pymdown-extensions 10.7
pynvml 11.5.0
pyparsing 3.1.1
pypdf 4.0.0
pytest 7.4.4
python-dateutil 2.8.2
python-dotenv 1.0.0
python-iso639 2024.1.2
python-magic 0.4.27
python-multipart 0.0.6
python-slugify 8.0.1
pytz 2023.3
PyYAML 6.0.1
pyzmq 25.1.2
rapidfuzz 3.6.1
referencing 0.31.1
regex 2023.6.3
requests 2.31.0
requests-oauthlib 1.3.1
responses 0.18.0
rich 13.7.0
rouge 1.0.1
rpds-py 0.13.2
rsa 4.9
safetensors 0.4.1
scipy 1.11.1
semantic-version 2.10.0
sentencepiece 0.1.99
setuptools 67.8.0
setuptools-scm 8.0.4
shellingham 1.5.4
shortuuid 1.0.11
shtab 1.6.5
simplejson 3.19.1
six 1.16.0
smmap 5.0.1
sniffio 1.3.0
sortedcontainers 2.4.0
soundfile 0.12.1
soupsieve 2.5
SQLAlchemy 2.0.19
sse-starlette 1.8.2
stack-data 0.6.3
starlette 0.27.0
streamlit 1.28.2
svgwrite 1.4.3
sympy 1.12
tabulate 0.9.0
tenacity 8.2.3
tensorboard 2.15.1
tensorboard-data-server 0.7.2
termcolor 2.3.0
text-unidecode 1.3
tiktoken 0.5.1
tokenizers 0.15.1
toml 0.10.2
tomli 2.0.1
tomlkit 0.12.0
toolz 0.12.0
toposort 1.5
torch 2.0.1
torchvision 0.15.2
tornado 6.4
tqdm 4.65.0
traitlets 5.14.0
transformers 4.36.2
transformers-stream-generator 0.0.4
triton 2.0.0
trl 0.7.10
typer 0.9.0
typing_extensions 4.9.0
typing-inspect 0.9.0
tyro 0.6.0
tzdata 2023.3
tzlocal 5.2
unstructured 0.12.2
unstructured-client 0.15.5
urllib3 2.0.3
uvicorn 0.24.0.post1
validators 0.22.0
watchdog 3.0.0
wavedrom 2.0.3.post3
wcwidth 0.2.12
websockets 11.0.3
Werkzeug 3.0.1
wheel 0.38.4
wrapt 1.16.0
xxhash 3.2.0
yapf 0.40.1
yarl 1.9.2
zipp 3.16.2
from modelscope-agent.
同样的问题
from modelscope-agent.
这种问题一般是后台日志报错了,可以看下命令行的日志
from modelscope-agent.
这种问题一般是后台日志报错了,可以看下命令行的日志
Running on local URL: http://127.0.0.1:7860
To create a public link, set `share=True` in `launch()`.
upload_image_url:
user_input: 你好
就卡这里了。
from modelscope-agent.
我用的也是gradio==3.47.1版本。请问执行这个例子,需要正确使用哪个版本的gradio
from modelscope-agent.
我用的也是gradio==3.47.1版本。请问执行这个例子,需要正确使用哪个版本的gradio
有办法解决吗
from modelscope-agent.
您好,可以尝试把gradio版本降级到3.39.0试试?
from modelscope-agent.
您好,可以尝试把gradio版本降级到3.39.0试试?
好像可以了,这个也太难了。完全想不到是这个原因。
from modelscope-agent.
把gradio版本降级到3.39.0,成功解决问题,感谢帮助@mushenL
from modelscope-agent.
Related Issues (20)
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- [<Agent component: framework|tool|llm|etc...>] change tool_contribution_guide_CN.md
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- 智能体编排 HOT 4
- 无代码创建Agent,使用GLM4的企业api_key 和api_base, 问答无回复。 HOT 3
- 能否增加返回结果的状态,类似langchain的Callbacks/Streaming tokens HOT 1
- ray模式是否支持自定义工具调用? HOT 2
- [tool] openapi工具代码示例运行失败:TypeError: argument of type 'OpenAPIPluginTool' is not iterable HOT 4
- [<Agent component: framework|tool|llm|etc...>] add image_gen_lora tool
- 和qwen-agent有啥区别? HOT 2
- function call正常运行,但import similar_text failed, details: 'similar_text',咋回事呢 HOT 2
- [<doc>] train_agentfabric_llm_tool error
- offload folder set up
- [<Agent component: framework|tool|llm|etc...>]add parameter of image_gen tool
- [RAG] What is the best way to add RAG in Agent? HOT 3
- Tool Nonimplementation Error HOT 2
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from modelscope-agent.