Update speaking 3 to have 5 questions.
This commit is contained in:
23
app.py
23
app.py
@@ -843,19 +843,30 @@ def get_speaking_task_2_question():
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def get_speaking_task_3_question():
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difficulty = request.args.get("difficulty", default=random.choice(difficulties))
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topic = request.args.get("topic", default=random.choice(mti_topics))
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json_format = {
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"topic": "topic",
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"questions": [
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"Introductory question, should start with a greeting and introduce a question about the topic.",
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"Follow up question about the topic",
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"Follow up question about the topic",
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"Follow up question about the topic",
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"Follow up question about the topic"
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]
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}
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try:
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messages = [
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{
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"role": "system",
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"content": (
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'You are a helpful assistant designed to output JSON on this format: '
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'{"topic": "topic", "questions": ["question", "question", "question"]}')
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'You are a helpful assistant designed to output JSON on this format: ' + str(json_format))
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},
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{
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"role": "user",
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"content": (
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'Formulate a set of 3 questions of ' + difficulty + ' difficulty for IELTS Speaking Part 3 that encourage candidates to engage in a '
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'meaningful discussion on the topic of "' + topic + '". Provide inquiries, ensuring '
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'Formulate a set of 5 questions of hard difficulty for IELTS Speaking Part 3 that encourage candidates to engage in a '
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'meaningful discussion on the topic of "' + random.choice(
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mti_topics) + '". Provide inquiries, ensuring '
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'they explore various aspects, perspectives, and implications related to the topic.'
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'Make sure that the generated question does not contain forbidden subjects in muslim countries.')
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@@ -1000,7 +1011,7 @@ def grade_speaking_task_3():
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},
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{
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"role": "user",
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"content": 'Address the student as "you".'
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"content": 'Address the student as "you" and pay special attention to coherence between the answers.'
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},
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{
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"role": "user",
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@@ -1015,7 +1026,7 @@ def grade_speaking_task_3():
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token_count = count_total_tokens(messages)
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logging.info("POST - speaking_task_3 - " + str(request_id) + " - Requesting grading of the answers.")
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response = make_openai_call(GPT_3_5_TURBO, messages, token_count, ["comment"], GRADING_TEMPERATURE)
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response = make_openai_call(GPT_4_O, messages, token_count, ["comment"], GRADING_TEMPERATURE)
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logging.info("POST - speaking_task_3 - " + str(request_id) + " - Answers graded: " + str(response))
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logging.info("POST - speaking_task_3 - " + str(request_id) + " - Adding perfect answers to response.")
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