manually merged latest tiger-exhibit files

app.py

@@ -1,5 +1,6 @@
 import streamlit as st
 import run as trun
+import pandas as pd
 
 
 def run_with_input(reset=False):
@@ -14,7 +15,7 @@ def run_with_input(reset=False):
 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"
+csv_data = pd.DataFrame.from_dict({"Gene": [""], "res":[0.0]}).to_csv()
 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)
@@ -22,5 +23,5 @@ elif all([True if item in "ACGTacgt" else False for item in st.session_state['us
     st.write('This is your sequence', st.session_state["userInput"])
     csv_data = run_with_input()
 else:
-    st.write("only ACTG is allowed")    
+    st.write("only ACTG is allowed")
 st.download_button(label="Download as CVS File", data=csv_data)

requirements.txt

@@ -1,2 +1,3 @@
+pandas==1.5.2
 tensorflow==2.11.0
 tensorflow-probability==0.19.0

run.py

@@ -55,7 +55,4 @@ if __name__ == "__main__":
         print("you need to specify 23 character gen information. You typed %s chars" % len(x))
         exit()
     elif all([True if item in "ACGT" else False for item in x]):
-        print("run succesfully: ", run(x))
-    else:
-        print("your gen sequence need 23 character only from ACGT")
-        exit()
+        print("run succesfully: ", run(x))