Add difficulty settings for generation

app.py

@@ -52,6 +52,7 @@ def get_listening_section_1_question():
         # Extract parameters from the URL query string
         topic = request.args.get('topic', default=random.choice(two_people_scenarios))
         req_exercises = request.args.getlist('exercises')
+        difficulty = request.args.get("difficulty", default=random.choice(difficulties))
 
         if (len(req_exercises) == 0):
             req_exercises = random.sample(LISTENING_EXERCISE_TYPES, 1)
@@ -65,10 +66,11 @@ def get_listening_section_1_question():
         start_id = 1
         exercises = generate_listening_conversation_exercises(unprocessed_conversation, req_exercises,
                                                               number_of_exercises_q,
-                                                              start_id)
+                                                              start_id, difficulty)
         return {
             "exercises": exercises,
-            "text": processed_conversation
+            "text": processed_conversation,
+            "difficulty": difficulty
         }
     except Exception as e:
         return str(e)
@@ -82,6 +84,7 @@ def get_listening_section_2_question():
         # Extract parameters from the URL query string
         topic = request.args.get('topic', default=random.choice(social_monologue_contexts))
         req_exercises = request.args.getlist('exercises')
+        difficulty = request.args.get("difficulty", default=random.choice(difficulties))
 
         if (len(req_exercises) == 0):
             req_exercises = random.sample(LISTENING_EXERCISE_TYPES, 2)
@@ -92,10 +95,11 @@ def get_listening_section_2_question():
 
         app.logger.info("Generated monologue: " + str(monologue))
         start_id = 11
-        exercises = generate_listening_monologue_exercises(monologue, req_exercises, number_of_exercises_q, start_id)
+        exercises = generate_listening_monologue_exercises(monologue, req_exercises, number_of_exercises_q, start_id, difficulty)
         return {
             "exercises": exercises,
-            "text": monologue
+            "text": monologue,
+            "difficulty": difficulty
         }
     except Exception as e:
         return str(e)
@@ -109,6 +113,7 @@ def get_listening_section_3_question():
         # Extract parameters from the URL query string
         topic = request.args.get('topic', default=random.choice(four_people_scenarios))
         req_exercises = request.args.getlist('exercises')
+        difficulty = request.args.get("difficulty", default=random.choice(difficulties))
 
         if (len(req_exercises) == 0):
             req_exercises = random.sample(LISTENING_EXERCISE_TYPES, 1)
@@ -122,10 +127,11 @@ def get_listening_section_3_question():
         start_id = 21
         exercises = generate_listening_conversation_exercises(unprocessed_conversation, req_exercises,
                                                               number_of_exercises_q,
-                                                              start_id)
+                                                              start_id, difficulty)
         return {
             "exercises": exercises,
-            "text": processed_conversation
+            "text": processed_conversation,
+            "difficulty": difficulty
         }
     except Exception as e:
         return str(e)
@@ -139,6 +145,7 @@ def get_listening_section_4_question():
         # Extract parameters from the URL query string
         topic = request.args.get('topic', default=random.choice(academic_subjects))
         req_exercises = request.args.getlist('exercises')
+        difficulty = request.args.get("difficulty", default=random.choice(difficulties))
 
         if (len(req_exercises) == 0):
             req_exercises = random.sample(LISTENING_EXERCISE_TYPES, 2)
@@ -149,10 +156,11 @@ def get_listening_section_4_question():
 
         app.logger.info("Generated monologue: " + str(monologue))
         start_id = 31
-        exercises = generate_listening_monologue_exercises(monologue, req_exercises, number_of_exercises_q, start_id)
+        exercises = generate_listening_monologue_exercises(monologue, req_exercises, number_of_exercises_q, start_id, difficulty)
         return {
             "exercises": exercises,
-            "text": monologue
+            "text": monologue,
+            "difficulty": difficulty
         }
     except Exception as e:
         return str(e)
@@ -165,7 +173,9 @@ def save_listening():
         data = request.get_json()
         parts = data.get('parts')
         minTimer = data.get('minTimer', LISTENING_MIN_TIMER_DEFAULT)
+        difficulty = data.get('difficulty', random.choice(difficulties))
         template = getListeningTemplate()
+        template['difficulty'] = difficulty
         id = str(uuid.uuid4())
         for i, part in enumerate(parts, start=0):
             part_template = getListeningPartTemplate()
@@ -240,16 +250,18 @@ def grade_writing_task_1():
 @app.route('/writing_task1_general', methods=['GET'])
 @jwt_required()
 def get_writing_task_1_general_question():
+    difficulty = request.args.get("difficulty", default=random.choice(difficulties))
     try:
         gen_wt1_question = "Craft a prompt for an IELTS Writing Task 1 General Training exercise that instructs the " \
                            "student to compose a letter. The prompt should present a specific scenario or situation, " \
                            "requiring the student to provide information, advice, or instructions within the letter. " \
-                           "Make sure that the generated prompt does not contain forbidden subjects in muslim countries."
+                           "Make sure that the generated prompt is of " + difficulty + " difficulty and does not contain forbidden subjects in muslim countries."
         token_count = count_tokens(gen_wt1_question)["n_tokens"]
         response = make_openai_instruct_call(GPT_3_5_TURBO_INSTRUCT, gen_wt1_question, token_count, None,
                                              GEN_QUESTION_TEMPERATURE)
         return {
-            "question": response.strip()
+            "question": response.strip(),
+            "difficulty": difficulty
         }
     except Exception as e:
         return str(e)
@@ -296,8 +308,9 @@ def grade_writing_task_2():
 @app.route('/writing_task2_general', methods=['GET'])
 @jwt_required()
 def get_writing_task_2_general_question():
+    difficulty = request.args.get("difficulty", default=random.choice(difficulties))
     try:
-        gen_wt2_question = "Craft a comprehensive question for IELTS Writing Task 2 General Training that directs the candidate " \
+        gen_wt2_question = "Craft a comprehensive question of " + difficulty + " difficulty for IELTS Writing Task 2 General Training that directs the candidate " \
                            "to delve into an in-depth analysis of contrasting perspectives on a specific topic. The candidate " \
                            "should be asked to discuss the strengths and weaknesses of both viewpoints, provide evidence or " \
                            "examples, and present a well-rounded argument before concluding with their personal opinion on the " \
@@ -306,7 +319,8 @@ def get_writing_task_2_general_question():
         response = make_openai_instruct_call(GPT_3_5_TURBO_INSTRUCT, gen_wt2_question, token_count, None,
                                              GEN_QUESTION_TEMPERATURE)
         return {
-            "question": response.strip()
+            "question": response.strip(),
+            "difficulty": difficulty
         }
     except Exception as e:
         return str(e)
@@ -388,8 +402,9 @@ def grade_speaking_task_1():
 @app.route('/speaking_task_1', methods=['GET'])
 @jwt_required()
 def get_speaking_task_1_question():
+    difficulty = request.args.get("difficulty", default=random.choice(difficulties))
     try:
-        gen_sp1_question = "Craft a thought-provoking question for IELTS Speaking Part 1 that encourages candidates to delve deeply " \
+        gen_sp1_question = "Craft a thought-provoking question of " + difficulty + " difficulty for IELTS Speaking Part 1 that encourages candidates to delve deeply " \
                            "into personal experiences, preferences, or insights on diverse topics. Instruct the candidate to offer " \
                            "not only detailed descriptions but also provide nuanced explanations, examples, or anecdotes to enrich " \
                            "their response. Make sure that the generated question does not contain forbidden subjects in muslim countries." \
@@ -398,6 +413,7 @@ def get_speaking_task_1_question():
         response = make_openai_instruct_call(GPT_3_5_TURBO_INSTRUCT, gen_sp1_question, token_count, GEN_FIELDS,
                                              GEN_QUESTION_TEMPERATURE)
         response["type"] = 1
+        response["difficulty"] = difficulty
         return response
     except Exception as e:
         return str(e)
@@ -459,8 +475,9 @@ def grade_speaking_task_2():
 @app.route('/speaking_task_2', methods=['GET'])
 @jwt_required()
 def get_speaking_task_2_question():
+    difficulty = request.args.get("difficulty", default=random.choice(difficulties))
     try:
-        gen_sp2_question = "Create a question for IELTS Speaking Part 2 that encourages candidates to narrate a personal experience " \
+        gen_sp2_question = "Create a question of " + difficulty + " difficulty for IELTS Speaking Part 2 that encourages candidates to narrate a personal experience " \
                            "or story related to a randomly selected topic. Include 3 prompts that guide the candidate to describe " \
                            "specific aspects of the experience, such as details about the situation, their actions, and the " \
                            "reasons it left a lasting impression. Make sure that the generated question does not contain forbidden subjects in muslim countries." \
@@ -470,6 +487,7 @@ def get_speaking_task_2_question():
         response = make_openai_instruct_call(GPT_3_5_TURBO_INSTRUCT, gen_sp2_question, token_count, GEN_FIELDS,
                                              GEN_QUESTION_TEMPERATURE)
         response["type"] = 2
+        response["difficulty"] = difficulty
         return response
     except Exception as e:
         return str(e)
@@ -478,8 +496,9 @@ def get_speaking_task_2_question():
 @app.route('/speaking_task_3', methods=['GET'])
 @jwt_required()
 def get_speaking_task_3_question():
+    difficulty = request.args.get("difficulty", default=random.choice(difficulties))
     try:
-        gen_sp3_question = "Formulate a set of 3 questions for IELTS Speaking Part 3 that encourage candidates to engage in a " \
+        gen_sp3_question = "Formulate a set of 3 questions of " + difficulty + " difficulty for IELTS Speaking Part 3 that encourage candidates to engage in a " \
                            "meaningful discussion on a particular topic. Provide inquiries, ensuring " \
                            "they explore various aspects, perspectives, and implications related to the topic. " \
                            "Make sure that the generated question does not contain forbidden subjects in muslim countries." \
@@ -492,6 +511,7 @@ def get_speaking_task_3_question():
         response["questions"] = [re.sub(r"^\d+\.\s*", "", question) if re.match(r"^\d+\.", question) else question for
                                  question in response["questions"]]
         response["type"] = 3
+        response["difficulty"] = difficulty
         return response
     except Exception as e:
         return str(e)
@@ -669,6 +689,7 @@ def get_reading_passage_1_question():
         # Extract parameters from the URL query string
         topic = request.args.get('topic', default=random.choice(topics))
         req_exercises = request.args.getlist('exercises')
+        difficulty = request.args.get("difficulty", default=random.choice(difficulties))
 
         if (len(req_exercises) == 0):
             req_exercises = random.sample(READING_EXERCISE_TYPES, 2)
@@ -678,13 +699,14 @@ def get_reading_passage_1_question():
         passage = generate_reading_passage(QuestionType.READING_PASSAGE_1, topic)
         app.logger.info("Generated passage: " + str(passage))
         start_id = 1
-        exercises = generate_reading_exercises(passage["text"], req_exercises, number_of_exercises_q, start_id)
+        exercises = generate_reading_exercises(passage["text"], req_exercises, number_of_exercises_q, start_id, difficulty)
         return {
             "exercises": exercises,
             "text": {
                 "content": passage["text"],
                 "title": passage["title"]
-            }
+            },
+            "difficulty": difficulty
         }
     except Exception as e:
         return str(e)
@@ -697,6 +719,7 @@ def get_reading_passage_2_question():
         # Extract parameters from the URL query string
         topic = request.args.get('topic', default=random.choice(topics))
         req_exercises = request.args.getlist('exercises')
+        difficulty = request.args.get("difficulty", default=random.choice(difficulties))
 
         if (len(req_exercises) == 0):
             req_exercises = random.sample(READING_EXERCISE_TYPES, 2)
@@ -706,13 +729,14 @@ def get_reading_passage_2_question():
         passage = generate_reading_passage(QuestionType.READING_PASSAGE_2, topic)
         app.logger.info("Generated passage: " + str(passage))
         start_id = 14
-        exercises = generate_reading_exercises(passage["text"], req_exercises, number_of_exercises_q, start_id)
+        exercises = generate_reading_exercises(passage["text"], req_exercises, number_of_exercises_q, start_id, difficulty)
         return {
             "exercises": exercises,
             "text": {
                 "content": passage["text"],
                 "title": passage["title"]
-            }
+            },
+            "difficulty": difficulty
         }
     except Exception as e:
         return str(e)
@@ -725,6 +749,7 @@ def get_reading_passage_3_question():
         # Extract parameters from the URL query string
         topic = request.args.get('topic', default=random.choice(topics))
         req_exercises = request.args.getlist('exercises')
+        difficulty = request.args.get("difficulty", default=random.choice(difficulties))
 
         if (len(req_exercises) == 0):
             req_exercises = random.sample(READING_EXERCISE_TYPES, 2)
@@ -734,13 +759,14 @@ def get_reading_passage_3_question():
         passage = generate_reading_passage(QuestionType.READING_PASSAGE_3, topic)
         app.logger.info("Generated passage: " + str(passage))
         start_id = 27
-        exercises = generate_reading_exercises(passage["text"], req_exercises, number_of_exercises_q, start_id)
+        exercises = generate_reading_exercises(passage["text"], req_exercises, number_of_exercises_q, start_id, difficulty)
         return {
             "exercises": exercises,
             "text": {
                 "content": passage["text"],
                 "title": passage["title"]
-            }
+            },
+            "difficulty": difficulty
         }
     except Exception as e:
         return str(e)

helper/constants.py

@@ -106,6 +106,8 @@ FEMALE_VOICES = [item for item in ALL_VOICES if item.get('Gender') == 'Female']
 MALE_NEURAL_VOICES = [item for item in ALL_NEURAL_VOICES if item.get('Gender') == 'Male']
 FEMALE_NEURAL_VOICES = [item for item in ALL_NEURAL_VOICES if item.get('Gender') == 'Female']
 
+difficulties = ["easy", "medium", "hard"]
+
 topics = [
     "Art and Creativity",
     "History of Ancient Civilizations",

helper/exercises.py

@@ -292,25 +292,25 @@ def generate_listening_4_monologue(topic: str):
     return response
 
 
-def generate_reading_exercises(passage: str, req_exercises: list, number_of_exercises_q, start_id):
+def generate_reading_exercises(passage: str, req_exercises: list, number_of_exercises_q, start_id, difficulty):
     exercises = []
     for req_exercise in req_exercises:
         number_of_exercises = number_of_exercises_q.get()
 
         if req_exercise == "multipleChoice":
-            question = gen_multiple_choice_exercise(passage, number_of_exercises, start_id)
+            question = gen_multiple_choice_exercise(passage, number_of_exercises, start_id, difficulty)
             exercises.append(question)
             print("Added multiple choice: " + str(question))
         elif req_exercise == "fillBlanks":
-            question = gen_summary_fill_blanks_exercise(passage, number_of_exercises, start_id)
+            question = gen_summary_fill_blanks_exercise(passage, number_of_exercises, start_id, difficulty)
             exercises.append(question)
             print("Added fill blanks: " + str(question))
         elif req_exercise == "trueFalse":
-            question = gen_true_false_not_given_exercise(passage, number_of_exercises, start_id)
+            question = gen_true_false_not_given_exercise(passage, number_of_exercises, start_id, difficulty)
             exercises.append(question)
             print("Added trueFalse: " + str(question))
         elif req_exercise == "writeBlanks":
-            question = gen_write_blanks_exercise(passage, number_of_exercises, start_id)
+            question = gen_write_blanks_exercise(passage, number_of_exercises, start_id, difficulty)
             exercises.append(question)
             print("Added write blanks: " + str(question))
 
@@ -319,28 +319,28 @@ def generate_reading_exercises(passage: str, req_exercises: list, number_of_exer
     return exercises
 
 
-def generate_listening_conversation_exercises(conversation: str, req_exercises: list, number_of_exercises_q, start_id):
+def generate_listening_conversation_exercises(conversation: str, req_exercises: list, number_of_exercises_q, start_id, difficulty):
     exercises = []
     for req_exercise in req_exercises:
         number_of_exercises = number_of_exercises_q.get()
 
         if req_exercise == "multipleChoice":
-            question = gen_multiple_choice_exercise_listening_conversation(conversation, number_of_exercises, start_id)
+            question = gen_multiple_choice_exercise_listening_conversation(conversation, number_of_exercises, start_id, difficulty)
             exercises.append(question)
             print("Added multiple choice: " + str(question))
         elif req_exercise == "writeBlanksQuestions":
             question = gen_write_blanks_questions_exercise_listening_conversation(conversation, number_of_exercises,
-                                                                                  start_id)
+                                                                                  start_id, difficulty)
             exercises.append(question)
             print("Added write blanks questions: " + str(question))
         elif req_exercise == "writeBlanksFill":
             question = gen_write_blanks_notes_exercise_listening_conversation(conversation, number_of_exercises,
-                                                                              start_id)
+                                                                              start_id, difficulty)
             exercises.append(question)
             print("Added write blanks notes: " + str(question))
         elif req_exercise == "writeBlanksForm":
             question = gen_write_blanks_form_exercise_listening_conversation(conversation, number_of_exercises,
-                                                                             start_id)
+                                                                             start_id, difficulty)
             exercises.append(question)
             print("Added write blanks form: " + str(question))
 
@@ -349,25 +349,25 @@ def generate_listening_conversation_exercises(conversation: str, req_exercises:
     return exercises
 
 
-def generate_listening_monologue_exercises(monologue: str, req_exercises: list, number_of_exercises_q, start_id):
+def generate_listening_monologue_exercises(monologue: str, req_exercises: list, number_of_exercises_q, start_id, difficulty):
     exercises = []
     for req_exercise in req_exercises:
         number_of_exercises = number_of_exercises_q.get()
 
         if req_exercise == "multipleChoice":
-            question = gen_multiple_choice_exercise_listening_monologue(monologue, number_of_exercises, start_id)
+            question = gen_multiple_choice_exercise_listening_monologue(monologue, number_of_exercises, start_id, difficulty)
             exercises.append(question)
             print("Added multiple choice: " + str(question))
         elif req_exercise == "writeBlanksQuestions":
-            question = gen_write_blanks_questions_exercise_listening_monologue(monologue, number_of_exercises, start_id)
+            question = gen_write_blanks_questions_exercise_listening_monologue(monologue, number_of_exercises, start_id, difficulty)
             exercises.append(question)
             print("Added write blanks questions: " + str(question))
         elif req_exercise == "writeBlanksFill":
-            question = gen_write_blanks_notes_exercise_listening_monologue(monologue, number_of_exercises, start_id)
+            question = gen_write_blanks_notes_exercise_listening_monologue(monologue, number_of_exercises, start_id, difficulty)
             exercises.append(question)
             print("Added write blanks notes: " + str(question))
         elif req_exercise == "writeBlanksForm":
-            question = gen_write_blanks_form_exercise_listening_monologue(monologue, number_of_exercises, start_id)
+            question = gen_write_blanks_form_exercise_listening_monologue(monologue, number_of_exercises, start_id, difficulty)
             exercises.append(question)
             print("Added write blanks form: " + str(question))
 
@@ -376,8 +376,8 @@ def generate_listening_monologue_exercises(monologue: str, req_exercises: list,
     return exercises
 
 
-def gen_multiple_choice_exercise(text: str, quantity: int, start_id):
-    gen_multiple_choice_for_text = "Generate " + str(quantity) + " multiple choice questions for this text: " \
+def gen_multiple_choice_exercise(text: str, quantity: int, start_id, difficulty):
+    gen_multiple_choice_for_text = "Generate " + str(quantity) + " " + difficulty + " difficulty multiple choice questions for this text: " \
                                                                  "'" + text + "'\n" \
                                                                               "Use this format: \"questions\": [{\"id\": \"9\", \"options\": [{\"id\": \"A\", \"text\": " \
                                                                               "\"Economic benefits\"}, {\"id\": \"B\", \"text\": \"Government regulations\"}, {\"id\": \"C\", \"text\": " \
@@ -405,7 +405,7 @@ def gen_multiple_choice_exercise(text: str, quantity: int, start_id):
     }
 
 
-def gen_summary_fill_blanks_exercise(text: str, quantity: int, start_id):
+def gen_summary_fill_blanks_exercise(text: str, quantity: int, start_id, difficulty):
     gen_summary_for_text = "Summarize this text: " + text
     token_count = count_tokens(gen_summary_for_text)["n_tokens"]
     text_summary = make_openai_instruct_call(GPT_3_5_TURBO_INSTRUCT, gen_summary_for_text, token_count,
@@ -413,7 +413,7 @@ def gen_summary_fill_blanks_exercise(text: str, quantity: int, start_id):
                                              GEN_QUESTION_TEMPERATURE)
 
     gen_words_to_replace = "Select " + str(
-        quantity) + " words, it must be words and not expressions, from the summary and respond in this " \
+        quantity) + " " + difficulty + " difficulty words, it must be words and not expressions, from the summary and respond in this " \
                     "JSON format: { \"words\": [\"word_1\", \"word_2\"] }. The summary is: " + text_summary
     token_count = count_tokens(gen_words_to_replace)["n_tokens"]
     words_to_replace = make_openai_instruct_call(GPT_3_5_TURBO_INSTRUCT, gen_words_to_replace, token_count,
@@ -437,9 +437,9 @@ def gen_summary_fill_blanks_exercise(text: str, quantity: int, start_id):
     }
 
 
-def gen_true_false_not_given_exercise(text: str, quantity: int, start_id):
+def gen_true_false_not_given_exercise(text: str, quantity: int, start_id, difficulty):
     gen_true_false_not_given = "Generate " + str(
-        quantity) + " statements in JSON format (True, False, or Not Given) " \
+        quantity) + " " + difficulty + " difficulty statements in JSON format (True, False, or Not Given) " \
                     "based on the provided text. Ensure that your statements " \
                     "accurately represent information or inferences from the " \
                     "text, and provide a variety of responses, including, at least one of each True, " \
@@ -466,8 +466,8 @@ def gen_true_false_not_given_exercise(text: str, quantity: int, start_id):
     }
 
 
-def gen_write_blanks_exercise(text: str, quantity: int, start_id):
-    gen_short_answer_questions = "Generate " + str(quantity) + " short answer questions, and the possible answers " \
+def gen_write_blanks_exercise(text: str, quantity: int, start_id, difficulty):
+    gen_short_answer_questions = "Generate " + str(quantity) + " " + difficulty + " difficulty short answer questions, and the possible answers " \
                                                                "(max 3 words per answer), about this text: '" + text + "'. " \
                                                                                                                        "Provide your answer in this JSON format: {\"questions\": [{\"question\": question, " \
                                                                                                                        "\"possible_answers\": [\"answer_1\", \"answer_2\"]}]}"
@@ -487,9 +487,9 @@ def gen_write_blanks_exercise(text: str, quantity: int, start_id):
     }
 
 
-def gen_multiple_choice_exercise_listening_conversation(text: str, quantity: int, start_id):
+def gen_multiple_choice_exercise_listening_conversation(text: str, quantity: int, start_id, difficulty):
     gen_multiple_choice_for_text = "Generate " + str(
-        quantity) + " multiple choice questions of 4 options for this conversation: " \
+        quantity) + " " + difficulty + " difficulty multiple choice questions of 4 options of for this conversation: " \
                     "'" + text + "'"
     token_count = count_tokens(gen_multiple_choice_for_text)["n_tokens"]
     mc_questions = make_openai_instruct_call(GPT_3_5_TURBO_INSTRUCT, gen_multiple_choice_for_text, token_count,
@@ -512,8 +512,8 @@ def gen_multiple_choice_exercise_listening_conversation(text: str, quantity: int
     }
 
 
-def gen_multiple_choice_exercise_listening_monologue(text: str, quantity: int, start_id):
-    gen_multiple_choice_for_text = "Generate " + str(quantity) + " multiple choice questions for this monologue: " \
+def gen_multiple_choice_exercise_listening_monologue(text: str, quantity: int, start_id, difficulty):
+    gen_multiple_choice_for_text = "Generate " + str(quantity) + " " + difficulty + " difficulty multiple choice questions for this monologue: " \
                                                                  "'" + text + "'"
     token_count = count_tokens(gen_multiple_choice_for_text)["n_tokens"]
     mc_questions = make_openai_instruct_call(GPT_3_5_TURBO_INSTRUCT, gen_multiple_choice_for_text, token_count,
@@ -536,8 +536,8 @@ def gen_multiple_choice_exercise_listening_monologue(text: str, quantity: int, s
     }
 
 
-def gen_write_blanks_questions_exercise_listening_conversation(text: str, quantity: int, start_id):
-    gen_write_blanks_questions = "Generate " + str(quantity) + " short answer questions, and the possible answers " \
+def gen_write_blanks_questions_exercise_listening_conversation(text: str, quantity: int, start_id, difficulty):
+    gen_write_blanks_questions = "Generate " + str(quantity) + " " + difficulty + " difficulty short answer questions, and the possible answers " \
                                                                "(max 3 words per answer), about a monologue and" \
                                                                "respond in this JSON format: {\"questions\": [{\"question\": question, " \
                                                                "\"possible_answers\": [\"answer_1\", \"answer_2\"]}]}." \
@@ -558,8 +558,8 @@ def gen_write_blanks_questions_exercise_listening_conversation(text: str, quanti
     }
 
 
-def gen_write_blanks_questions_exercise_listening_monologue(text: str, quantity: int, start_id):
-    gen_write_blanks_questions = "Generate " + str(quantity) + " short answer questions, and the possible answers " \
+def gen_write_blanks_questions_exercise_listening_monologue(text: str, quantity: int, start_id, difficulty):
+    gen_write_blanks_questions = "Generate " + str(quantity) + " " + difficulty + " difficulty short answer questions, and the possible answers " \
                                                                "(max 3 words per answer), about a monologue and" \
                                                                "respond in this JSON format: {\"questions\": [{\"question\": question, " \
                                                                "\"possible_answers\": [\"answer_1\", \"answer_2\"]}]}." \
@@ -580,8 +580,8 @@ def gen_write_blanks_questions_exercise_listening_monologue(text: str, quantity:
     }
 
 
-def gen_write_blanks_notes_exercise_listening_conversation(text: str, quantity: int, start_id):
-    gen_write_blanks_notes = "Generate " + str(quantity) + " notes taken from the conversation and and respond in this " \
+def gen_write_blanks_notes_exercise_listening_conversation(text: str, quantity: int, start_id, difficulty):
+    gen_write_blanks_notes = "Generate " + str(quantity) + " " + difficulty + " difficulty notes taken from the conversation and and respond in this " \
                                                            "JSON format: { \"notes\": [\"note_1\", \"note_2\"] }. The monologue is this: '" + text + "'"
 
     token_count = count_tokens(gen_write_blanks_notes)["n_tokens"]
@@ -605,8 +605,8 @@ def gen_write_blanks_notes_exercise_listening_conversation(text: str, quantity:
     }
 
 
-def gen_write_blanks_notes_exercise_listening_monologue(text: str, quantity: int, start_id):
-    gen_write_blanks_notes = "Generate " + str(quantity) + " notes taken from the monologue and and respond in this " \
+def gen_write_blanks_notes_exercise_listening_monologue(text: str, quantity: int, start_id, difficulty):
+    gen_write_blanks_notes = "Generate " + str(quantity) + " " + difficulty + " difficulty notes taken from the monologue and respond in this " \
                                                            "JSON format: { \"notes\": [\"note_1\", \"note_2\"] }. The monologue is this: '" + text + "'"
 
     token_count = count_tokens(gen_write_blanks_notes)["n_tokens"]
@@ -630,8 +630,8 @@ def gen_write_blanks_notes_exercise_listening_monologue(text: str, quantity: int
     }
 
 
-def gen_write_blanks_form_exercise_listening_conversation(text: str, quantity: int, start_id):
-    gen_write_blanks_form = "Generate a form with " + str(quantity) + " key-value pairs about the conversation. " \
+def gen_write_blanks_form_exercise_listening_conversation(text: str, quantity: int, start_id, difficulty):
+    gen_write_blanks_form = "Generate a form with " + str(quantity) + " " + difficulty + " difficulty key-value pairs about the conversation. " \
                                                                       "The conversation is this: '" + text + "'"
     token_count = count_tokens(gen_write_blanks_form)["n_tokens"]
     form = make_openai_instruct_call(GPT_3_5_TURBO_INSTRUCT, gen_write_blanks_form, token_count,
@@ -653,8 +653,8 @@ def gen_write_blanks_form_exercise_listening_conversation(text: str, quantity: i
     }
 
 
-def gen_write_blanks_form_exercise_listening_monologue(text: str, quantity: int, start_id):
-    gen_write_blanks_form = "Generate a form with " + str(quantity) + " key-value pairs about the monologue. " \
+def gen_write_blanks_form_exercise_listening_monologue(text: str, quantity: int, start_id, difficulty):
+    gen_write_blanks_form = "Generate a form with " + str(quantity) + " " + difficulty + " difficulty key-value pairs about the monologue. " \
                                                                       "The monologue is this: '" + text + "'"
     token_count = count_tokens(gen_write_blanks_form)["n_tokens"]
     form = make_openai_instruct_call(GPT_3_5_TURBO_INSTRUCT, gen_write_blanks_form, token_count,