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import ktrain | |
import gradio as gr | |
from gradio.mix import Parallel | |
examples = [["I only get my kids the ones I got....I've turned down many so called 'vaccines'"], ["In child protective services, further providing for definitions, for immunity from liability"], ["Lol what? Measles is a real thing. Get vaccinated"]] | |
# predictor_bert = ktrain.load_predictor('bert') | |
# predictor_mental = ktrain.load_predictor('mentalbert') | |
predictor_phs = ktrain.load_predictor('phsbert') | |
def bert(text): | |
results = predictor_bert.predict(str(text)) | |
return str(results) | |
def mentalbert(text): | |
results = predictor_mental.predict(str(text)) | |
return str(results) | |
def phsbert(text): | |
results = predictor_phs.predict(str(text)) | |
return str(results) | |
# bert_io = gr.Interface(fn=bert, inputs="text", outputs="text") | |
# mental_io = gr.Interface(fn=mentalbert, inputs="text", outputs="text") | |
phs_io = gr.Interface(fn=phsbert, inputs="text", outputs="text") | |
# Parallel(bert_io, mental_io, phs_io).launch() | |
# Parallel(bert_io, mental_io, examples=examples).launch() | |
# bert_io.launch() | |
# mental_io.launch() | |
phs_io.launch() | |