Upload app.py

app.py

@@ -16,6 +16,14 @@ import time
 import os
 from PIL import Image
 
+cwd=os.getcwd()+'/'+'data/'
+
+#get snps list
+snps = pd.read_csv("SNPS.csv")
+variants=snps['GENE:SNP'].unique()
+variants_s=sorted(variants,key=len)
+
+
 st.set_page_config(layout="wide") 
 st.markdown(
     """
@@ -89,13 +97,13 @@ def ForeCastBE(target_seq,method,select_method):
         ('ABE', 'CBE'),horizontal=True)
 
         if len(variant_spl)>1:
-            fname=variant_spl[1]+method+select_method+'.fasta'
-            res_fname=fname+"_"+Editor+"_"+fname+'1.csv'
+            fname=cwd+variant_spl[1]+"_"+method+"_"+select_method+'.fasta'
+            res_fname=fname+"_"+Editor+'.csv'
 
             #snpid=variant_spl[1]
         else:
-            fname=variant_spl[0]+method+select_method+'.fasta'
-            res_fname=fname+"_"+Editor+"_"+fname+'.csv'
+            fname=cwd+variant_spl[0]+"_"+method+"_"+select_method+'.fasta'
+            res_fname=fname+"_"+Editor+'.csv'
             
             #snpid=variant_spl[0]
         f = open(fname, "w")
@@ -1006,12 +1014,6 @@ def display_res(method,sep,rsid,select_method):
 
 
 
-cwd=os.getcwd()+'/'+'data/'
-
-#get snps list
-snps = pd.read_csv("SNPS.csv")
-variants=snps['GENE:SNP'].unique()
-variants_s=sorted(variants,key=len)
 
 caution = '<p style="font-family:sans-serif; color:Red; font-size: 18px;">Please note that not (necessarily) all variants are targetted.</p>'