updated description

Update app.py

Update app.py

model named sentimentality not sentimental

changed model to sentimental

after certain shocking findings , I have discovered a discrepancy in the value of x and predictions , becos of which now I will test my own model for the same .

checking values of x

trying the Russian model in ints original form

upload model_RNN.h5

ok , so my model was giving negative answer fro both good and bad , so now I ma testing another model.

fun fact , you can't reshape an array of size 30 into size 200

model size expected (none,30) found (none,200).

uploaded tokenizer.json

nltk, keras, keras_preprocessing were added

Russian code adaptation

(old code) X (new code)

software engineer draft

codex codes

gptf2

chatgpt attempt

fixed unexpected indent

changed return to resolve tuple out of bounds error

tf.keras.models.load_model added

added fastai

added anther model

added transformers and scikit-learn

was getting negative irrespective of input

changed number of words view

added torch to requirements

another commit with custom model

adapted demo model a little more

Update app.py

changed gradio interface

fn10

removed del scores['custom'] as we don't have a custom , becks me never used sentimentality nlpk library

tried adapting demo code from docs

fn9

direct uthaya

fn8

fn8

fn 7

fn 6

fn 4

function 3

used another function

changed calling function

added import gradio

created requirements.txt

updated and restructured app.py

uploaded sentimentality.h5