Update app.py

app.py

@@ -8,40 +8,6 @@ import language_tool_python
 import streamlit as st
 from gradio_client import Client
 
-# Initialize LanguageTool
-tool = language_tool_python.LanguageToolPublicAPI('en-US')
-
-# Helper function to check grammar and sense
-def grammar_sense(sentence):
-    sense = tool.correct(sentence)
-    grammar = "Correct Grammar" if not tool.check(sentence) else "Incorrect Grammar"
-    return "Make Sense" if "Not" not in sense and grammar == "Correct Grammar" else "Not Make Sense"
-
-# Web scraping and text cleaning
-Quiz_Gen = st.form("Quiz Generation")
-res = Quiz_Gen.text_input("What topic do you want to get quizzed on?")
-sub = Quiz_Gen.form_submit_button("Submit")
-if sub:
-    entity = res
-    prefix = "https://wiki.kidzsearch.com/wiki/"
-    page = requests.get(f'{prefix}{entity}')
-    res = BeautifulSoup(page.content, 'html.parser')
-    
-    text = [i.get_text() for i in res.find_all('p')]
-    
-    cleaned_text = ' '.join(text)
-    cleaned_text = re.sub(r'[^a-zA-Z0-9.,]', ' ', cleaned_text)
-    paragraphs = [p.strip() for p in re.split(r'\n', cleaned_text) if p.strip()]
-    
-    # Process text using SpaCy
-    nlp = spacy.load("en_core_web_sm")
-    doc = nlp(cleaned_text)
-    
-    sentences = [sent.text for sent in doc.sents]
-    
-    # Combine sentences into paragraphs
-    paragraphs = [f"{sentences[i]} {sentences[i + 1]}" if i + 1 < len(sentences) else sentences[i] for i in range(0, len(sentences), 2)]
-
 class SubjectiveTest:
 
     def __init__(self, data, noOfQues):
@@ -89,8 +55,41 @@ class SubjectiveTest:
 
         return questions
 
-# Example usage
+# Initialize LanguageTool
+tool = language_tool_python.LanguageToolPublicAPI('en-US')
+
+# Helper function to check grammar and sense
+def grammar_sense(sentence):
+    sense = tool.correct(sentence)
+    grammar = "Correct Grammar" if not tool.check(sentence) else "Incorrect Grammar"
+    return "Make Sense" if "Not" not in sense and grammar == "Correct Grammar" else "Not Make Sense"
+
+Quiz_Gen = st.form("Quiz Generation")
+res = Quiz_Gen.text_input("What topic do you want to get quizzed on?")
+sub = Quiz_Gen.form_submit_button("Submit")
+
 if sub:
+    entity = res
+    prefix = "https://wiki.kidzsearch.com/wiki/"
+    page = requests.get(f'{prefix}{entity}')
+    res = BeautifulSoup(page.content, 'html.parser')
+        
+    text = [i.get_text() for i in res.find_all('p')]
+        
+    cleaned_text = ' '.join(text)
+    cleaned_text = re.sub(r'[^a-zA-Z0-9.,]', ' ', cleaned_text)
+    paragraphs = [p.strip() for p in re.split(r'\n', cleaned_text) if p.strip()]
+        
+    # Process text using SpaCy
+    nlp = spacy.load("en_core_web_sm")
+    doc = nlp(cleaned_text)
+        
+    sentences = [sent.text for sent in doc.sents]
+        
+    # Combine sentences into paragraphs
+    paragraphs = [f"{sentences[i]} {sentences[i + 1]}" if i + 1 < len(sentences) else sentences[i] for i in range(0, len(sentences), 2)]
+    
+    # Example usage
     data = ' '.join(paragraphs)
     noOfQues = 5
     st.toast("Creating Questions", icon='✅')
@@ -98,29 +97,35 @@ if sub:
     question_list = subjective_generator.generate_test("")
     questions = []
 
+    st.session_state.questions = question_list  # Store the generated questions in session state
+
 Quiz = st.form("Quiz")
 st.toast("Filtering Questions", icon='✅')
-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}")
 
-scores = []
-client = Client("https://billbojangeles2000-zephyr-7b-alpha-chatbot-karki.hf.space/")
-ans = []
+# Check if questions are generated in session state
+if 'questions' in st.session_state:
+    question_index = 0
+
+    while question_index < len(st.session_state.questions):
+        current_question = st.session_state.questions[question_index]
 
-# Create an empty list to store the user-submitted scores
-user_scores = []
+        # Check if the current question meets your criteria
+        if "Explain" not in current_question and len(tool.check(current_question)) == 0 and grammar_sense(current_question) == "Make Sense":
+            # Get user input for the current question
+            user_answer = Quiz.text_input(f'{current_question}')
 
-for i, question in enumerate(questions):
-    res = Quiz.text_input(f'{question}')
-    ans.append(res)
+            # Append the user answer to the list
+            ans.append(user_answer)
+
+            # Move to the next question
+            question_index += 1
 
 submit_button = Quiz.form_submit_button("Submit")
 
 if submit_button:
     st.toast("Calculating grade", icon='✅')
     with st.spinner(text="Calculating Grade"):
-        for i, q in enumerate(questions):
+        for i, q in enumerate(st.session_state.questions):
             st.toast(f'iteration {i} has begun', icon='✅')
             result = client.predict(
                 f'What would you rate this answer to the question: "{q}" as a percentage? Here is the answer: {ans[i]}. Your percentage grade cannot be negative or over 100%. Additionally, you should also assume that the user is of a 5-7th grade level of intellect.',
@@ -130,20 +135,20 @@ if submit_button:
                 1.2,
                 api_name="/chat"
             )
-    
+
             pattern = r'(\d+)%'
-    
+
             match = re.search(pattern, result)
             if match:
                 score = match.group(1)
                 user_scores.append(int(score))
             else:
                 user_scores.append(85)  # You can set a default score if no score is found
-    
+
         # Calculate the average score using the user_scores list
         average_score = sum(user_scores) / len(user_scores)
-    
+
         st.info(f'Your average score for the answers is {average_score}%')
         st.write(f'Your average score for the answers is {average_score}%')
 
-        st.balloons()
+        st.balloons()