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Running
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CPU Upgrade
Running
on
CPU Upgrade
| import streamlit as st | |
| from time import time, ctime | |
| import tiger_trainer as stt | |
| import run as trun | |
| import pandas as pd | |
| import os, shutil, glob | |
| def run_with_input(reset=False): | |
| if reset: | |
| st.write("") | |
| return 0 | |
| returned_x = trun.run(st.session_state["userInput"]) | |
| csv_x = returned_x.to_csv() | |
| st.write("model prediction: ", returned_x) | |
| return csv_x | |
| st.title("Tiger gen prediction") | |
| st.session_state['userInput'] = "" | |
| st.session_state["userInput"] = st.text_input('type gen sequence') | |
| cvs_data = "first run model to generate data" | |
| if len(st.session_state['userInput']) < 23: | |
| st.write("Sorry your input length must be at least 23 bases. It is %s chars"%len(st.session_state['userInput'])) | |
| run_with_input(reset=True) | |
| elif all([True if item in "ACGTacgt" else False for item in st.session_state['userInput']]): | |
| st.write('This is your sequence', st.session_state["userInput"]) | |
| csv_data = run_with_input() | |
| else: | |
| st.write("only ACTG is allowed") | |
| st.download_button(label="Download as CVS File", data=csv_data) | |