Upload app.py

app.py

@@ -18,6 +18,7 @@ from PIL import Image
 
 cwd=os.getcwd()+'/'+'data/'
 
+
 #get snps list
 snps = pd.read_csv("SNPS.csv")
 variants=snps['GENE:SNP'].unique()
@@ -97,12 +98,12 @@ def ForeCastBE(target_seq,method,select_method):
         ('ABE', 'CBE'),horizontal=True)
 
         if len(variant_spl)>1:
-            fname=cwd+variant_spl[1]+"_"+method+"_"+select_method+'.fasta'
+            fname=variant_spl[1]+"_"+method+"_"+select_method+'.fasta'
             res_fname=fname+"_"+Editor+'.csv'
 
             #snpid=variant_spl[1]
         else:
-            fname=cwd+variant_spl[0]+"_"+method+"_"+select_method+'.fasta'
+            fname=variant_spl[0]+"_"+method+"_"+select_method+'.fasta'
             res_fname=fname+"_"+Editor+'.csv'
             
             #snpid=variant_spl[0]
@@ -150,10 +151,10 @@ def ForeCastBE(target_seq,method,select_method):
                 
             #st.write(result.stdout)
             #st.write(result.stderr)
-        #if os.path.exists(fname):
-        #    os.remove(fname)
-        #if os.path.exists(res_fname):
-        #    os.remove(res_fname)
+        if os.path.exists(fname):
+            os.remove(fname)
+        if os.path.exists(res_fname):
+            os.remove(res_fname)
 
 
 def transform(df,str):