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Jun 14, 2023 08:00 updated description Apr 29, 2023 08:51 Update app.py 08:47 Update app.py 08:33 model named sentimentality not sentimental 08:29 changed model to sentimental 08:26 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 . 08:21 checking values of x 08:16 trying the Russian model in ints original form 08:11 upload model_RNN.h5 08:10 ok , so my model was giving negative answer fro both good and bad , so now I ma testing another model. 08:04 fun fact , you can't reshape an array of size 30 into size 200 07:59 model size expected (none,30) found (none,200). 07:50 uploaded tokenizer.json 07:29 nltk, keras, keras_preprocessing were added 07:24 Russian code adaptation 06:12 (old code) X (new code) 06:00 software engineer draft 05:27 codex codes 05:05 gptf2 05:01 chatgpt attempt 04:52 fixed unexpected indent 04:49 changed return to resolve tuple out of bounds error 04:44 tf.keras.models.load_model added 04:36 added fastai 04:35 added anther model 03:53 added transformers and scikit-learn 03:48 was getting negative irrespective of input Apr 28, 2023 14:09 changed number of words view 14:00 added torch to requirements 13:58 another commit with custom model 13:50 adapted demo model a little more 13:42 Update app.py 12:30 changed gradio interface 12:07 fn10 12:01 removed del scores['custom'] as we don't have a custom , becks me never used sentimentality nlpk library 11:35 tried adapting demo code from docs Apr 27, 2023 07:57 fn9 07:28 direct uthaya 07:24 fn8 07:15 fn8 default label set to neutral 07:12 fn 7 07:08 fn 6 06:47 fn 4 06:42 function 3 06:34 used another function 06:25 changed calling function 06:23 added import gradio 06:20 created requirements.txt Apr 26, 2023 19:38 updated and restructured app.py 19:23 uploaded sentimentality.h5 added model file for running in virtual environment. 
