Spaces:
Sleeping
Sleeping
add enzyme buttons
Browse files
app.py
CHANGED
@@ -9,25 +9,35 @@ ENTRY_METHODS = dict(
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fasta="Fasta file upload (supports multiple transcripts if they have unique ID's)"
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CRISPR_MODELS = ['Cas9', 'Cas12', 'Cas13d']
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selected_model = st.selectbox('Select CRISPR model:', CRISPR_MODELS, key='selected_model')
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# Placeholder for Cas12 model loading
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# TODO: Implement Cas12 model loading logic
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raise NotImplementedError("Cas12 model loading not implemented yet.")
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# Assuming tiger module is for Cas13
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raise ValueError(f"Unknown model: {model_name}")
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@st.cache_data
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def convert_df(df):
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# IMPORTANT: Cache the conversion to prevent computation on every rerun
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fasta="Fasta file upload (supports multiple transcripts if they have unique ID's)"
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)
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CRISPR_MODELS = ['Cas9', 'Cas12', 'Cas13d']
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selected_model = st.selectbox('Select CRISPR model:', CRISPR_MODELS, key='selected_model')
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# Check if the selected model is Cas9
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if selected_model == 'Cas9':
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# Display buttons for the Cas9 model
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if st.button('SPCas9_U6'):
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# Placeholder for action when SPCas9_U6 is clicked
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pass
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if st.button('SPCas9_t7'):
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# Placeholder for action when SPCas9_t7 is clicked
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pass
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if st.button('eSPCas9'):
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# Placeholder for action when eSPCas9 is clicked
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pass
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if st.button('SPCas9_HF1'):
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# Placeholder for action when SPCas9_HF1 is clicked
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pass
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elif model_name == 'Cas12':
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# Placeholder for Cas12 model loading
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# TODO: Implement Cas12 model loading logic
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raise NotImplementedError("Cas12 model loading not implemented yet.")
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elif model_name == 'Cas13d':
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# Assuming tiger module is for Cas13
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tiger.load_model() # Assuming there's a load_model function in tiger.py
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else:
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raise ValueError(f"Unknown model: {model_name}")
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@st.cache_data
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def convert_df(df):
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# IMPORTANT: Cache the conversion to prevent computation on every rerun
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