Update app.py

app.py

@@ -7,6 +7,7 @@ import spacy
 import language_tool_python
 import streamlit as st
 from gradio_client import Client
+
 # Initialize LanguageTool
 tool = language_tool_python.LanguageToolPublicAPI('en-US')
 
@@ -96,8 +97,8 @@ question_list = subjective_generator.generate_test("")
 questions = []
 Quiz = st.form("Quiz")
 for i, question in enumerate(question_list):
-  if "Explain" not in question and len(tool.check(question)) == 0 and grammar_sense(question) == "Make Sense":
-    questions.append(f"{question}")
+    if "Explain" not in question and len(tool.check(question)) == 0 and grammar_sense(question) == "Make Sense":
+        questions.append(f"{question}")
 
 scores = []
 client = Client("https://billbojangeles2000-zephyr-7b-alpha-chatbot-karki.hf.space/")
@@ -108,14 +109,6 @@ for i in questions:
 
 submit_button = Quiz.form_submit_button("Submit")
 
-def calculate_average(numbers):
-    numbers = [int(x) for x in numbers if isinstance(x, (int, str))]
-
-
-    total = sum(numbers)
-    average = total / len(numbers)
-    return average
-
 if submit_button:
     for i, q in enumerate(questions):  # This line was missing the enumeration
         result = client.predict(
@@ -133,7 +126,6 @@ if submit_button:
         if match:
             score = match.group(1)
             scores.append(f'{int(score)}')
-            st.write(f'{int(score)}')
         else:
             scores.append(f'N/A')
 
@@ -145,5 +137,5 @@ if submit_button:
             x = x + 1
         else:
             x = x + 1
-    
-st.subheader(f'Your average score for the answers is {calculate_average(scores)}')
+
+    st.subheader(f'Your average score for the answers is {calculate_average(scores)}')