Telegram Bot API
Nyanko Bot - Build a chat bot withNyanko Bot can translate from English to Vietnamese using a pretrained model generated by tensor2tensor To build a Telegram bot, refer to this tutorial Here are steps This is the remake chatbot, for the origin and most detailed, refer to this repo
Repo's structure
- NyankoBot
- colab/: stores data and model needed for translation
- decodeF2F.py: main script using decode from file to file
- decodeWServing: main script using decode with tensorflow server
- Translator.py: function for decode from file to file
- TranslateWithServing: function for decode with serving
Running
Using decode from file to file
python decodeF2F.py
Using decode with serving
Please refer to this page for more information
- Requirements: tensorflow-model-server, tensorflow-serving-api
sudo apt install tensorflow-model-server
pip install tensorflow-serving-api
- export model for serving
t2t-exporter \
--model=transformer \
--hparams_set=transformer_base \
--problem=translate_envi_iwslt32k \
--data_dir=colab/data \
--output_dir=colab/train
you should have export/ directory inside colab/train/ now
- launch server
tensorflow_model_server \
--port=9000 \
--model_name=translator\
--model_base_path=absolute_path_to_export_folder
- query the server
t2t-query-server \
--server=localhost:9000 \
--servable_name=translator \
--problem=translate_envi_iwslt32k \
--data_dir=~colab/data
--inputs_once='your sentence'
for interactive querying, remove flag --inputs_once
- Deployment with chatbot
The deployment is inside decodeWServing.py
To run the bot:
- launch server as above
- python decodeWServer.py