jaifar530 commited on
Commit
5006f20
·
unverified ·
1 Parent(s): 2f31df1

fix output

Browse files
Files changed (1) hide show
  1. app.py +3 -3
app.py CHANGED
@@ -114,7 +114,7 @@ press_me_button = st.button("Press me")
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  if press_me_button:
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  input_features = df['paragraph'].apply(extract_features)
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  predicted_llm = clf_loaded.predict(input_features)
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- st.write(f"Predicted LLM: {predicted_llm[0]}")
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  predicted_proba = clf_loaded.predict_proba(input_features)
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  probabilities = predicted_proba[0]
@@ -133,10 +133,10 @@ if press_me_button:
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  prob_dict = {k: f'{v*100:.2f}%' for k, v in sorted(prob_dict.items(), key=lambda item: item[1], reverse=True)}
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  # Print the dictionary
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- st.write(prob_dict)
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  # Create a progress bar and a bar chart for each LLM
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  for llm, prob in prob_dict.items():
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  st.write(llm + ': ' + prob)
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  st.progress(float(prob.strip('%'))/100)
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- st.bar_chart(prob_dict)
 
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  if press_me_button:
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  input_features = df['paragraph'].apply(extract_features)
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  predicted_llm = clf_loaded.predict(input_features)
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+ #st.write(f"Predicted LLM: {predicted_llm[0]}")
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  predicted_proba = clf_loaded.predict_proba(input_features)
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  probabilities = predicted_proba[0]
 
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  prob_dict = {k: f'{v*100:.2f}%' for k, v in sorted(prob_dict.items(), key=lambda item: item[1], reverse=True)}
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  # Print the dictionary
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+ #st.write(prob_dict)
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  # Create a progress bar and a bar chart for each LLM
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  for llm, prob in prob_dict.items():
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  st.write(llm + ': ' + prob)
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  st.progress(float(prob.strip('%'))/100)
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+