Update app.py

app.py

@@ -48,15 +48,15 @@ def the_process(input_text, model_choice):
         pythonFlag = "true"
       elif(pythonFlag == "true"):
         print("pythonFlag", pythonFlag)
-     if(model_choice==0):
-       if(javaFlag == "false"):
+    if(model_choice==0):
+        if(javaFlag == "false"):
             print("Inside llama for python")
             tokenizer = AutoTokenizer.from_pretrained("nadiamaqbool81/starcoderbase-1b-hf")
             model = AutoModelForCausalLM.from_pretrained("nadiamaqbool81/starcoderbase-1b-hf")
             output = run_predict(input_text, model, tokenizer)
             print("output" , output)
             javaFlag = "true"
-          elif(javaFlag == "true"):
+        elif(javaFlag == "true"):
             print("javaFlag", javaFlag)
     else:
       a_variable = model_box[model_choice]