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Update app.py
Browse files
app.py
CHANGED
@@ -1,6 +1,4 @@
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import gradio as gr
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from datasets import load_dataset
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import random
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import time
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import requests
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@@ -11,8 +9,7 @@ import traceback
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from base64 import b64decode,b64encode
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from io import BytesIO
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word_list = word_list_dataset["train"]['text']
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@@ -21,6 +18,27 @@ with gr.Blocks(theme="darkdefault") as demo:
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def welcome(name):
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return f"Welcome to AIXRPL.com Minter, {name}!"
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def inference(_prompt,_token):
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try:
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from PIL import Image
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@@ -28,8 +46,7 @@ with gr.Blocks(theme="darkdefault") as demo:
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import os
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print(_prompt,_token)
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if re.search(rf"\b{filter}\b", _prompt):
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return '','unsafe','','',''
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r = requests.post(url='https://xcyborgart-app.herokuapp.com/create',data={"prompt":_prompt,"token":_token})
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import gradio as gr
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import random
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import time
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import requests
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from base64 import b64decode,b64encode
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from io import BytesIO
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from profanity_filter import ProfanityFilter
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def welcome(name):
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return f"Welcome to AIXRPL.com Minter, {name}!"
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def profanityCheck(prompt):
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prompt = prompt.replace('+',' ').replace('|',' ')
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nlp = spacy.load('en')
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profanity_filter = ProfanityFilter(nlps={'en': nlp}) # reuse spacy Language (optional)
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nlp.add_pipe(profanity_filter.spacy_component, last=True)
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pf = ProfanityFilter()
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pf.censor_whole_words = False
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doc = nlp(prompt)
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if doc._.is_profane:
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print(doc)
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return True
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for token in doc:
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print(token)
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if token._.is_profane:
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return True
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return False
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def inference(_prompt,_token):
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try:
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from PIL import Image
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import os
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print(_prompt,_token)
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if profanityCheck(_prompt):
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return '','unsafe','','',''
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r = requests.post(url='https://xcyborgart-app.herokuapp.com/create',data={"prompt":_prompt,"token":_token})
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