Spaces:
Sleeping
Sleeping
added topics dictionary, added randomized difficulty distribution, made temperature dynamic
Browse files
app.py
CHANGED
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@@ -1,17 +1,17 @@
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# app.py
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import os
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import gradio as gr
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from anthropic import Anthropic
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from datetime import datetime, timedelta
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from collections import deque
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# Initialize Anthropic client
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anthropic = Anthropic(
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api_key=os.environ.get('ANTHROPIC_API_KEY')
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)
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# Request tracking
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MAX_REQUESTS_PER_DAY = 25
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request_history = deque(maxlen=1000)
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def check_api_key():
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@@ -22,7 +22,6 @@ def check_api_key():
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def check_rate_limit():
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"""Check if we're within rate limits"""
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now = datetime.now()
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# Remove requests older than 24 hours
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while request_history and (now - request_history[0]) > timedelta(days=1):
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request_history.popleft()
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return len(request_history) < MAX_REQUESTS_PER_DAY
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@@ -33,33 +32,55 @@ def clean_latex(text):
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return text
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def generate_test(subject):
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"""Generate a math test with
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try:
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# Check API key
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check_api_key()
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# Check rate limit
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if not check_rate_limit():
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return "Daily request limit reached. Please try again tomorrow."
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# Record request
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request_history.append(datetime.now())
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- Use $ for simple inline math
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- For equations and solution steps, use $$ on separate lines
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- For multi-step solutions, put each step on its own line in $$ $$
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- DO NOT use \\begin{aligned} or any other environments
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message = anthropic.messages.create(
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model="claude-3-opus-20240229",
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max_tokens=1500,
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temperature=
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messages=[{
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"role": "user",
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"content": f"{system_prompt}\n\nWrite an exam for {subject}."
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@@ -97,7 +118,7 @@ def generate_test(subject):
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except Exception as e:
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return f"Error: {str(e)}"
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# Subject choices
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subjects = [
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"Single Variable Calculus",
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"Multivariable Calculus",
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@@ -127,12 +148,11 @@ interface = gr.Interface(
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]
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),
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title="Advanced Mathematics Test Generator",
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description="""Generates university-level mathematics exam questions with solutions using Claude 3 Opus.
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Limited to 25 requests per day.
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theme="default",
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allow_flagging="never"
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)
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# Launch the interface
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if __name__ == "__main__":
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interface.launch()
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import os
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import gradio as gr
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from anthropic import Anthropic
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from datetime import datetime, timedelta
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from collections import deque
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import random
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# Initialize Anthropic client
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anthropic = Anthropic(
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api_key=os.environ.get('ANTHROPIC_API_KEY')
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)
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# Request tracking
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MAX_REQUESTS_PER_DAY = 25
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request_history = deque(maxlen=1000)
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def check_api_key():
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def check_rate_limit():
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"""Check if we're within rate limits"""
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now = datetime.now()
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while request_history and (now - request_history[0]) > timedelta(days=1):
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request_history.popleft()
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return len(request_history) < MAX_REQUESTS_PER_DAY
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return text
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def generate_test(subject):
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"""Generate a math test with enhanced variety"""
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try:
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check_api_key()
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if not check_rate_limit():
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return "Daily request limit reached. Please try again tomorrow."
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request_history.append(datetime.now())
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# Randomly select focus areas and difficulty levels
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topics = {
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"Single Variable Calculus": ["limits", "derivatives", "integrals", "series", "applications"],
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"Multivariable Calculus": ["partial derivatives", "multiple integrals", "vector fields", "optimization", "surface integrals"],
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"Linear Algebra": ["matrices", "vector spaces", "eigenvalues", "linear transformations", "inner products"],
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# ... add topics for other subjects
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}
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selected_topics = random.sample(topics.get(subject, ["general"]), min(3, len(topics.get(subject, ["general"]))))
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difficulty_distribution = random.choice([
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"one easy, one medium, one challenging",
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"two medium, one very challenging",
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"one medium, two challenging"
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])
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system_prompt = f"""You will write math exam questions. Follow these requirements EXACTLY:
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1. Write exactly 3 university-level questions focusing on these specific topics: {', '.join(selected_topics)}
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2. Make the questions {difficulty_distribution}
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3. For each question, use a different type of mathematical thinking (e.g., computation, proof, application, conceptual understanding)
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4. Ensure questions are unique and not commonly found in textbooks
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5. For LaTeX math formatting:
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- Use $ for simple inline math
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- For equations and solution steps, use $$ on separate lines
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- For multi-step solutions, put each step on its own line in $$ $$
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- DO NOT use \\begin{{aligned}} or any other environments
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6. Number each question as 1), 2), 3)
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7. Include detailed solutions after each question
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8. Keep formatting simple and clear
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Important: Make these questions distinct from standard textbook problems. Incorporate real-world applications,
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interdisciplinary connections, or creative scenarios where appropriate."""
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# Vary temperature based on subject complexity
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base_temperature = 0.7
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complexity_adjustment = random.uniform(-0.1, 0.1)
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temperature = min(1.0, max(0.5, base_temperature + complexity_adjustment))
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message = anthropic.messages.create(
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model="claude-3-opus-20240229",
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max_tokens=1500,
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temperature=temperature,
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messages=[{
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"role": "user",
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"content": f"{system_prompt}\n\nWrite an exam for {subject}."
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except Exception as e:
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return f"Error: {str(e)}"
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# Subject choices remain the same
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subjects = [
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"Single Variable Calculus",
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"Multivariable Calculus",
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]
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),
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title="Advanced Mathematics Test Generator",
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description="""Generates unique university-level mathematics exam questions with solutions using Claude 3 Opus.
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Each test features different topics and difficulty levels. Limited to 25 requests per day.""",
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theme="default",
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allow_flagging="never"
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)
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if __name__ == "__main__":
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interface.launch()
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