Spaces:
Running
on
CPU Upgrade
Running
on
CPU Upgrade
race condition solved
Browse files
app.py
CHANGED
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@@ -36,11 +36,13 @@ def progress_update(update_text, percent_complete):
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def initiate_run():
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st.session_state.running = True
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st.session_state.input_error = st.session_state.on_target = st.session_state.off_target = None
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def run():
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# initialize transcript DataFrame
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transcripts = pd.DataFrame(columns=[tiger.ID_COL, tiger.SEQ_COL])
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@@ -76,12 +78,8 @@ def run():
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# run model if we have any transcripts
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elif len(transcripts) > 0:
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st.session_state.
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mode={v: k for k, v in tiger.RUN_MODES.items()}[st.session_state.mode],
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check_off_targets=st.session_state.check_off_targets,
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status_update_fn=progress_update
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)
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if __name__ == '__main__':
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@@ -94,6 +92,8 @@ if __name__ == '__main__':
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st.session_state.entry_method = ENTRY_METHODS['manual']
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if 'running' not in st.session_state:
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st.session_state.running = False
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if 'input_error' not in st.session_state:
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st.session_state.input_error = None
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if 'on_target' not in st.session_state:
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@@ -180,8 +180,14 @@ if __name__ == '__main__':
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else:
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st.write('We did not find any off-target effects!')
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# run model
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if st.session_state.
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st.session_state.running = False
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st.experimental_rerun()
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def initiate_run():
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# initialize state variables
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st.session_state.transcripts = None
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st.session_state.input_error = None
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st.session_state.on_target = None
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st.session_state.off_target = None
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# initialize transcript DataFrame
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transcripts = pd.DataFrame(columns=[tiger.ID_COL, tiger.SEQ_COL])
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# run model if we have any transcripts
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elif len(transcripts) > 0:
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st.session_state.running = True
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st.session_state.transcripts = transcripts
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if __name__ == '__main__':
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st.session_state.entry_method = ENTRY_METHODS['manual']
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if 'running' not in st.session_state:
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st.session_state.running = False
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if 'transcripts' not in st.session_state:
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st.session_state.transcripts = None
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if 'input_error' not in st.session_state:
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st.session_state.input_error = None
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if 'on_target' not in st.session_state:
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else:
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st.write('We did not find any off-target effects!')
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# run model until we clear inputs
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if st.session_state.transcripts is not None:
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st.session_state.on_target, st.session_state.off_target = tiger.tiger_exhibit(
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transcripts=st.session_state.transcripts,
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mode={v: k for k, v in tiger.RUN_MODES.items()}[st.session_state.mode],
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check_off_targets=st.session_state.check_off_targets,
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status_update_fn=progress_update
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)
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st.session_state.running = False
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st.session_state.transcripts = None
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st.experimental_rerun()
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