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Update app.py (#8)
Browse files- Update app.py (0798648920359a9e04f77c6435bac0fe57d37853)
Co-authored-by: Qingyang Liu <LfOreVEr@users.noreply.huggingface.co>
app.py
CHANGED
@@ -439,12 +439,14 @@ elif selected_model == 'Cas12':
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predictions, gene_sequence, exons = cas12.process_gene(gene_symbol,cas12_path)
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sorted_predictions = sorted(predictions, key=lambda x: x[-1], reverse=True)[:10]
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st.session_state['on_target_results'] = sorted_predictions
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st.success('Prediction completed!')
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# Visualization and file generation
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if 'on_target_results' in st.session_state and st.session_state['on_target_results']:
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df = pd.DataFrame(st.session_state['on_target_results'],
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columns=["
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st.dataframe(df)
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# Now create a Plotly plot with the sorted_predictions
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fig = go.Figure()
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predictions, gene_sequence, exons = cas12.process_gene(gene_symbol,cas12_path)
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sorted_predictions = sorted(predictions, key=lambda x: x[-1], reverse=True)[:10]
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st.session_state['on_target_results'] = sorted_predictions
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st.session_state['gene_sequence'] = gene_sequence # Save gene sequence in session state
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st.session_state['exons'] = exons # Store exon data
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st.success('Prediction completed!')
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# Visualization and file generation
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if 'on_target_results' in st.session_state and st.session_state['on_target_results']:
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df = pd.DataFrame(st.session_state['on_target_results'],
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columns=["Chr", "Start Pos", "End Pos", "Strand", "Transcript", "Exon", "Target", "gRNA", "Prediction"])
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st.dataframe(df)
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# Now create a Plotly plot with the sorted_predictions
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fig = go.Figure()
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