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Refactoring STT for interactive conversations #52
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tanay1337
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For interactive responses, you can first import stt to your action module and use the |
tanay1337
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rachmadaniHaryono
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Solves Melissa-AI#111 add city weather.com search Keyword Detection Melissa-AI#51 Fixes Melissa-AI#105 Fixes Melissa-AI#52 Fix The Readout Of Date Month and date were flipped causing tts to read August 10th instead of October 8th remove check profile on travis. add requirements-dev.txt to exclude list on flake8. delete check profile test. use setup.cfg as pytest config instead of pytest.ini. add pycache and sort. change flake8 deps and test deps file. refactore tts test. remove redundant blank line. add test for pyvona package on tts. change to pass flake8. change to match test with pyvona addition. add test deps txt to exclude list. change how to run pytest on travis. install dependency after running the script. change pygame version. change travis setting to install pytest and run it pass flake8 test. a func still need to pass this change to pass flake8. set max width to 80 set random platform test with random string. add random and female gender. mock the profile module before import tts module. rename test file to the correct module. add test for tts module. add requirements for test. add pytest.ini Reformat setup.cfg Melissa-AI#94 Update LICENSE.md Add Ivona TTS Added what_is_date() and what_is_time() Spelling Action Module Add disk utilization in system_status New chatbot style interaction for general conversation Fixed pep8 issues Fixed pep8 issues chore(flake8-checker): added flake8 checker to TRAVISCI Script chore(melissa/): made code flake8 compliant - removed unused imports - added setup.cfg for flake8 add test for tts module.
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As @neilnelson mentioned in the code of
stt.py, we need a better implementation for the STT as well as its interaction withbrain.pyso that it allows us to hold spontaneous conversations with Melissa.For example, a sample conversation for a better twitter module might be:
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