convai | Conversational AI challenge series | Chat library
kandi X-RAY | convai Summary
kandi X-RAY | convai Summary
ClariQ (pronounced as Claire-ee-que) challenge is organized as part of the Conversational AI challenge series (ConvAI3) at Search-oriented Conversational AI (SCAI) EMNLP workshop in 2020. The main aim of the conversational systems is to return an appropriate answer in response to the user requests. However, some user requests might be ambiguous. In IR settings such a situation is handled mainly through the diversification of a search result page. It is however much more challenging in dialogue settings. Hence, we aim to study the following situation for dialogue settings:.
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- Generate the state of the model .
- Build the network .
- Sample the transform .
- Calculate input dimensionality .
- Load data from files .
- Setup Heroku server .
- Reformat a dialog to a human readable format
- Create padded batch .
- Forward computation .
- beam search .
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QUESTION
I am following the instruction (https://github.com/huggingface/transfer-learning-conv-ai) to install conv-ai from huggingface, but I got stuck on the docker build step: docker build -t convai .
I am using Mac 10.15, python 3.8, increased Docker memory to 4G.
I have tried the following ways to solve the issue:
- add
numpy
inrequirements.txt
- add
RUN pip3 install --upgrade setuptools
in Dockerfile - add
--upgrade
toRUN pip3 install -r /tmp/requirements.txt
in Dockerfile - add
RUN pip3 install numpy
beforeRUN pip3 install -r /tmp/requirements.txt
in Dockerfile - add
RUN apt-get install python3-numpy
beforeRUN pip3 install -r /tmp/requirements.txt
in Dockerfile - using python 3.6.13 because of this post, but it has exact same error.
- I am currently working on debugging inside the container by entering right before the
RUN pip3 install requirements.txt
Can anyone help me on this? Thank you!!
The error:
...ANSWER
Answered 2021-Mar-12 at 15:47Did you try adding numpy into the requirements.txt? It looks to me that it is missing.
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Install convai
You can use convai like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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