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Kingston Yip
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Parent(s):
39a4d7e
Revert "changes"
Browse filesThis reverts commit 39a4d7e22634cd38c0f8a717fbfefa831ad24724.
- app.py +8 -12
- saved_tweets.txt +0 -0
app.py
CHANGED
@@ -5,6 +5,7 @@ import pandas as pd
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import comments
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from random import randint
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def predict_cyberbullying_probability(sentence, tokenizer, model):
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# Preprocess the input sentence
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inputs = tokenizer(sentence, padding='max_length', return_token_type_ids=False, return_attention_mask=True, truncation=True, max_length=512, return_tensors='pt')
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@@ -78,21 +79,16 @@ with st.form("my_form"):
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default = "I'm nice at ping pong"
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tweet = st.text_area(label="Enter Text:",value=default)
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submitted = st.form_submit_button("Analyze textbox")
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random = st.form_submit_button("
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if random:
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tweet = comments.comments[randint(0, 354)]
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st.write(tweet)
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f.write("\n")
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df = perform_cyberbullying_analysis(tweet)
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st.table(df)
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else:
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perform_default_analysis(model_name)
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import comments
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from random import randint
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def predict_cyberbullying_probability(sentence, tokenizer, model):
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# Preprocess the input sentence
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inputs = tokenizer(sentence, padding='max_length', return_token_type_ids=False, return_attention_mask=True, truncation=True, max_length=512, return_tensors='pt')
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default = "I'm nice at ping pong"
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tweet = st.text_area(label="Enter Text:",value=default)
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submitted = st.form_submit_button("Analyze textbox")
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random = st.form_submit_button("Analyze a random 😈😈😈 tweet")
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if random:
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tweet = comments.comments[randint(0, 354)]
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st.write(tweet)
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df = perform_cyberbullying_analysis(tweet)
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# Display the cached table
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st.table(df)
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else:
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perform_default_analysis(model_name)
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saved_tweets.txt
DELETED
File without changes
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