The module is published in pypi (https://pypi.org/project/sentimeter/) . you can install it via
pip install sentimeter
Sentimeter is all about identifiying the sentiments from a source . The source can be a text / audio . Below are some of the built in modules shipping along with the package .
Process the Emotions in a given audio file. Currently it supports only wav file . In future we will add more formats
Process the Emotions in a live speech
Sentimeter has a Telegram Bot, it can process the emotions in a Telegram chat
Process a text file and identifies the emotions
Under Development
Incase if you would like to create own modules, you can do it by extending the BaseSource class like below
class OwnSentimeterSource(BaseSource):
def __init__(self, engine) -> None:
super().__init__(engine)
pass
def run(self):
# The text is is the input to the engine
self.engine.process(text)
return True
def on_event(self, results):
# This overridden function will get you the results(map of emotions)
print(results)
We can use multiple backends as well with this engine. I have created an experimental ChatGPT backend . But by default it uses a built in model to identify the emotions.
There are applications developed using sentimeter. Please refer apps folder in https://github.com/karthagokul/sentimeter
- Documentation
- Google Hangout Connector
Create a Virtual env
py -m venv virtual-env
.\virtual-env\Scripts\activate
Install All Dependencies
pip3 install .