Update app.py
Browse files
app.py
CHANGED
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@@ -129,34 +129,36 @@ def generate_tutor_output(subject: str, difficulty: str, student_input: str) ->
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if enhanced_topic:
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break
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-
#
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if enhanced_topic:
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logging.debug(f"Using enhanced topic: {enhanced_topic}")
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prompt = f"""
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You are an expert tutor specializing in {enhanced_topic} at the {difficulty} level. The student has asked
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-
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- "lesson": A comprehensive lesson (3-4 paragraphs) based on national educational standards, including historical context.
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- "example": A detailed step-by-step example problem with a full solution, formatted as:
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- "Example Problem:" followed by the question
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- "Step 1:", "Step 2:", etc., each on a new line
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- "Answer:" with the final solution
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- "real_world_problem": A challenging real-world application of this concept.
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- "quiz": A short quiz with 3 multiple-choice questions
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-
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"""
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else:
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logging.debug(f"Using general subject: {subject_lower}")
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prompt = f"""
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You are an expert tutor in {subject_lower} at the {difficulty} level. The student has
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-
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- "lesson": A descriptive, engaging lesson (3-4 paragraphs) on the topic.
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- "example": An example problem with a full solution, formatted as:
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- "Example Problem:" followed by the question
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- "Step 1:", "Step 2:", etc., each on a new line
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- "Answer:" with the final solution
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- "real_world_problem": A real-world problem solvable using the lesson concepts.
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- "quiz": A short quiz with 3 multiple-choice questions
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-
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"""
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# Model selection with fallback
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@@ -175,7 +177,7 @@ def generate_tutor_output(subject: str, difficulty: str, student_input: str) ->
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messages=[
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{
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"role": "system",
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"content": f"You are the world's best AI tutor, renowned for your ability to explain complex concepts clearly and engagingly. Your expertise in {subject_lower} is unparalleled, and you tailor your teaching to {difficulty} level students. Always return
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},
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{
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"role": "user",
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@@ -183,7 +185,7 @@ def generate_tutor_output(subject: str, difficulty: str, student_input: str) ->
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}
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],
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model=target_model,
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max_tokens=
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)
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response_content = completion.choices[0].message.content
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@@ -203,7 +205,7 @@ def generate_tutor_output(subject: str, difficulty: str, student_input: str) ->
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logging.warning("No JSON markers found in response")
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result = None
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#
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if not result:
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logging.debug("Falling back to text parsing")
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sections = {
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@@ -218,36 +220,40 @@ def generate_tutor_output(subject: str, difficulty: str, student_input: str) ->
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line = line.strip()
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if not line or line.startswith('```'):
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continue
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-
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current_section = "lesson"
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sections[current_section] += line.replace("Lesson:", "").replace("1.", "").strip() + "\n"
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elif
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current_section = "example"
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sections[current_section] += line.replace("Example:", "").replace("2.", "").strip() + "\n"
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elif
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current_section = "real_world_problem"
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sections[current_section] += line.replace("Real-World Application:", "").replace("Real-World Problem:", "").replace("3.", "").strip() + "\n"
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elif
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current_section = "quiz"
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sections[current_section] += line.replace("Quiz:", "").replace("4.", "").strip() + "\n"
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elif current_section:
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sections[current_section] += line + "\n"
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# Check if any section was populated
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if any(sections.values()):
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result = sections
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else:
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result = {
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"lesson": "Failed to
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"example": "Failed to
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"real_world_problem": "Failed to
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"quiz": "Failed to
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}
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# Ensure all keys are present
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for key in ["lesson", "example", "real_world_problem", "quiz"]:
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if key not in result:
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result[key] = f"No {key.replace('_', ' ')} provided"
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return result
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if enhanced_topic:
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break
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# Strengthened prompt to ensure all sections are generated
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if enhanced_topic:
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logging.debug(f"Using enhanced topic: {enhanced_topic}")
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prompt = f"""
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You are an expert tutor specializing in {enhanced_topic} at the {difficulty} level. The student has asked: "{student_input}"
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Generate a detailed response as a valid JSON object with exactly these keys and content:
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- "lesson": A comprehensive lesson (3-4 paragraphs, at least 200 words) based on national educational standards, including historical context.
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- "example": A detailed step-by-step example problem with a full solution, formatted as:
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- "Example Problem:" followed by the question
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- "Step 1:", "Step 2:", etc., each on a new line
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- "Answer:" with the final solution
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- "real_world_problem": A challenging real-world application of this concept (at least 100 words).
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- "quiz": A short quiz with 3 multiple-choice questions, each formatted as:
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- "1. Question text\n a) option1\n b) option2\n c) option3\n Correct answer: a"
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Ensure all sections are fully populated with relevant content. Return only the JSON object, enclosed in ```json``` markers, with no additional text outside the markers.
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"""
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else:
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logging.debug(f"Using general subject: {subject_lower}")
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prompt = f"""
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You are an expert tutor in {subject_lower} at the {difficulty} level. The student has asked: "{student_input}"
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Generate a detailed response as a valid JSON object with exactly these keys and content:
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+
- "lesson": A descriptive, engaging lesson (3-4 paragraphs, at least 200 words) on the topic.
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- "example": An example problem with a full solution, formatted as:
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- "Example Problem:" followed by the question
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- "Step 1:", "Step 2:", etc., each on a new line
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- "Answer:" with the final solution
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- "real_world_problem": A real-world problem solvable using the lesson concepts (at least 100 words).
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- "quiz": A short quiz with 3 multiple-choice questions, each formatted as:
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- "1. Question text\n a) option1\n b) option2\n c) option3\n Correct answer: a"
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Ensure all sections are fully populated with relevant content. Return only the JSON object, enclosed in ```json``` markers, with no additional text outside the markers.
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"""
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# Model selection with fallback
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messages=[
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{
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"role": "system",
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"content": f"You are the world's best AI tutor, renowned for your ability to explain complex concepts clearly and engagingly. Your expertise in {subject_lower} is unparalleled, and you tailor your teaching to {difficulty} level students. Always return a complete response with all requested sections as a valid JSON object enclosed in ```json``` markers.",
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},
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{
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"role": "user",
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}
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],
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model=target_model,
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max_tokens=4000, # Increased to ensure full response
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)
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response_content = completion.choices[0].message.content
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logging.warning("No JSON markers found in response")
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result = None
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# Improved fallback parsing if JSON extraction fails
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if not result:
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logging.debug("Falling back to text parsing")
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sections = {
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line = line.strip()
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if not line or line.startswith('```'):
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continue
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# More flexible section detection
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if any(kw in line.lower() for kw in ["lesson", "1.", "overview", "introduction"]):
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current_section = "lesson"
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sections[current_section] += line.replace("Lesson:", "").replace("1.", "").strip() + "\n"
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elif any(kw in line.lower() for kw in ["example", "2.", "problem", "solution"]):
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current_section = "example"
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sections[current_section] += line.replace("Example:", "").replace("2.", "").strip() + "\n"
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elif any(kw in line.lower() for kw in ["real-world", "application", "3.", "practical"]):
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current_section = "real_world_problem"
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sections[current_section] += line.replace("Real-World Application:", "").replace("Real-World Problem:", "").replace("3.", "").strip() + "\n"
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elif any(kw in line.lower() for kw in ["quiz", "4.", "question", "test"]):
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current_section = "quiz"
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sections[current_section] += line.replace("Quiz:", "").replace("4.", "").strip() + "\n"
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elif current_section:
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sections[current_section] += line + "\n"
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# Log parsed sections for debugging
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logging.debug(f"Parsed sections: {sections}")
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# Check if any section was populated
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if any(sections.values()):
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result = sections
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else:
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result = {
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"lesson": "Failed to generate lesson content",
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"example": "Failed to generate example content",
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"real_world_problem": "Failed to generate real-world application content",
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"quiz": "Failed to generate quiz content"
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}
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# Ensure all keys are present and non-empty
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for key in ["lesson", "example", "real_world_problem", "quiz"]:
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if key not in result or not result[key].strip():
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result[key] = f"No {key.replace('_', ' ')} provided - generation incomplete"
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return result
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