This project will generate Simpsons TV scripts using RNNs. Part of the Simpsons dataset of scripts from 27 seasons are used in this project. The Neural Network will generate a new TV script for a scene at Moe's Tavern.
Below are the generated scripts:
moe_szyslak:(sighs) what's the point?... same ol' stinkin' world...(to moe) he seems nice.
lisa_simpson: how'd mindless tester's off my this friend is gonna go tsk, tsk, tsk, tsk, tsk, tsk, tsk till broom.
carl_carlson: i thought you said chug-monkeys. what beverage, brewed since ancient times, is made from hops and grains?
scary him miss_lois_pennycandy:.
lenny_leonard: plus his wife was madonna.
ned_flanders: what're blessing.(small sob)
moe_szyslak: eh, sam: call for the musical in the pledge of allegiance. bugging me.
moe_szyslak: hates me, sam: laugh at the musical in the fridge, the man who spews harmony) pope's beers, you just gotta warn you, they must be the ugliest beer and a wad of bills.
moe_szyslak: hey, hey, hey, hey! freaky.
moe_szyslak:(dumbest glass, sam:) dad?
scary him on, sam: lee is walther hotenhoffer and i'm in the pharmaceutical
check_tensorflow_gpu.py: check tensorflow version and whether your machine have a gpu available.preprocess.py: methods to preprocess, save, load data and parameters.build_network.py: set up the structure for RNN and put it all together by building a tensorflow graphtrain_network.py: train the model using the structure built in 'build_network.py'generate_script.py: utilize the trained model to generate TV scriptsmain.py: pass parameters, variables and data to the model, 'main.py' makes the model much easier to train and to tune.