Update app.py

app.py

@@ -84,7 +84,7 @@ paragraphs = [f"{sentences[i]} {sentences[i + 1]}" if i + 1 < len(sentences) els
 
 class SubjectiveTest:
 
-    def __init__(self, data, noOfQues):
+    def __init(self, data, noOfQues):
         self.summary = data
         self.noOfQues = noOfQues
         self.nlp = spacy.load("en_core_web_sm")
@@ -113,7 +113,7 @@ class SubjectiveTest:
             for ent in sentence.ents:
                 entity_label = ent.label_
                 entity_text = ent.text
-                question_patterns = self.adjust_question_pattern(entity_label,"")
+                question_patterns = self.adjust_question_pattern(entity_label, "")
                 for pattern in question_patterns:
                     question = pattern.format(entity=entity_text, topic=topic)
                     if entity_label in question_answer_dict:
@@ -132,7 +132,6 @@ class SubjectiveTest:
 
         return questions
 
-
 # Use st.form to encapsulate the quiz generation and submission
 with st.form("quiz_form"):
     # Create a button to initiate quiz generation
@@ -145,53 +144,51 @@ if generate_quiz:
 
     subjective_generator = SubjectiveTest(data, noOfQues)
     questions = subjective_generator.generate_test(topic)  # Use the user's input topic here
-    st.write(questions)
-    # Create a form for the quiz
-    with st.form("quiz_submission"):
-        st.write("Fill out the quiz:")
-        answers = {}
-        for i, question in enumerate(questions):
-            res = st.text_input(f'Q{i + 1}: {question}')
-            answers[f'Q{i + 1}'] = res
-
-        if st.form_submit_button("Submit"):
-            scores = []
-            client = Client("https://billbojangeles2000-zephyr-7b-alpha-chatbot-karki.hf.space/")
-
-            question_list = subjective_generator.generate_test(topic)  # Define 'questions' here
-            questions = []
-            for i, question in enumerate(question_list):
-                if (question != "") and (len(tool.check(question)) == 0) and (grammar_sense(question)):
-                    questions.append(f"Question: {question}")
-
-            for i, question in enumerate(questions):
-                res = answers[f'Q{i + 1}']
-                if res:
-                    result = client.predict(
-                        f'What would you rate this answer to the question: "{question}" as a percentage? Here is the answer: {res}. Make sure to write your answer as "Score" and then write your score of the response.',
-                        0.9,
-                        256,
-                        0.9,
-                        1.2,
-                        api_name="/chat"
-                    )
-                    pattern = r'(\d+)%'
-                    match = re.search(pattern, result)
-                    if match:
-                        score = int(match.group(1))
-                        scores.append(score)
-                    else:
-                        scores.append(85)
 
-            def calculate_average(numbers):
-                if not numbers:
-                    return 0  # Return 0 for an empty list to avoid division by zero.
+    # Filter out invalid and empty questions
+    questions = [q for q in questions if q.strip() and q != "E x p l a"]
 
-                total = sum(numbers)
-                average = total / len(numbers)
-                return average
+    # Ensure you have valid questions
+    if not questions:
+        st.write("No valid questions to process.")
+    else:
+        # Use the filtered questions in your code
+        scores = []
+        client = Client("https://billbojangeles2000-zephyr-7b-alpha-chatbot-karki.hf.space/")
 
-            # Calculate and display the average score
-            average_score = calculate_average(scores)
-            st.write(f'Your average score is {average_score}')
+        question_list = subjective_generator.generate_test(topic)  # Define 'questions' here
+        questions = []
+        for i, question in enumerate(question_list):
+            if (question != "") and (len(tool.check(question)) == 0) and (grammar_sense(question)):
+                questions.append(f"Question: {question}")
 
+        for i, question in enumerate(questions):
+            res = answers[f'Q{i + 1}']
+            if res:
+                result = client.predict(
+                    f'What would you rate this answer to the question: "{question}" as a percentage? Here is the answer: {res}. Make sure to write your answer as "Score" and then write your score of the response.',
+                    0.9,
+                    256,
+                    0.9,
+                    1.2,
+                    api_name="/chat"
+                )
+                pattern = r'(\d+)%'
+                match = re.search(pattern, result)
+                if match:
+                    score = int(match.group(1))
+                    scores.append(score)
+                else:
+                    scores.append(85)
+
+        def calculate_average(numbers):
+            if not numbers:
+                return 0  # Return 0 for an empty list to avoid division by zero.
+
+            total = sum(numbers)
+            average = total / len(numbers)
+            return average
+
+        # Calculate and display the average score
+        average_score = calculate_average(scores)
+        st.write(f'Your average score is {average_score}')