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Running
jaifar530
commited on
fix output
Browse files
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]
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@@ -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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-
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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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