This system runs on Yelp Dataset Challenge dataset (https://www.yelp.com/dataset_challenge). Download the dataset and extract the files to a folder.
The following packages needs to be installed for the system to work:
- Speech Recognition 3.3.3 (https://pypi.python.org/pypi/SpeechRecognition/)
- NLTK (http://www.nltk.org)
- Geonamescache (https://pypi.python.org/pypi/geonamescache)
- PyLucene (http://lucene.apache.org/pylucene/index.html)
- Flask (http://flask.pocoo.org)
- Bootstrap (http://getbootstrap.com)
- Index the Yelp dataset:
The preprocessed data will be saved to data.json. The inverted index will be saved to ./index/ folder.
This step has been done and all the output files has been uploaded to rod. You can skip to step 2.
python test_indexer.py <source to yelp dataset folder> data.json
- Start the system:
This will load necessary data into memory and initialize all necessary objects and start a web server. The address to access the web server will be displayed. Enter that address in a browser to access the page.
python flask_jqry.py
- Index the Yelp dataset (if this has been done before, you can skip this step):
The preprocessed data will be saved to data.json. The inverted index will be saved to ./index/ folder.
This step has been done and all the output files has been uploaded to rod. You can skip to step 2.
python test_indexer.py <source to yelp dataset folder> data.json
- Start the voice search module using the following command and then follow on screen prompt:
python test_speech.py