savasy commited on
Commit
63e3ca7
1 Parent(s): 753c37b

Update app.py

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Files changed (1) hide show
  1. app.py +2 -3
app.py CHANGED
@@ -11,9 +11,8 @@ def predict(text):
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  THRESHOLD = prompting.compute_tokens_prob(prompt, token_list1=["good"], token_list2= ["bad"])[0].item()
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  res=prompting.compute_tokens_prob(text+prompt, token_list1=["good"], token_list2= ["bad"])
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  if res[0] > THRESHOLD:
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- return {"POSITIVE":(res[0].item()-THRESHOLD)/ (1-THRESHOLD)}
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- return {"NEGATIVE":(THRESHOLD-res[0].item())/THRESHOLD}
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-
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  import gradio as gr
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  iface = gr.Interface(fn=predict, inputs=["text"], outputs=["label"]).launch()
 
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  THRESHOLD = prompting.compute_tokens_prob(prompt, token_list1=["good"], token_list2= ["bad"])[0].item()
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  res=prompting.compute_tokens_prob(text+prompt, token_list1=["good"], token_list2= ["bad"])
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  if res[0] > THRESHOLD:
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+ return {"POSITIVE":(res[0].item()-THRESHOLD)/ (1-THRESHOLD)}, (res[0].item()-THRESHOLD)/ (1-THRESHOLD)
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+ return {"NEGATIVE":(THRESHOLD-res[0].item())/THRESHOLD},(THRESHOLD-res[0].item())/THRESHOLD
 
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  import gradio as gr
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  iface = gr.Interface(fn=predict, inputs=["text"], outputs=["label"]).launch()