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import gradio as gr
from huggingface_hub import InferenceClient
import os # For environment variables
# Initialize the Hugging Face Inference Client
client = InferenceClient()
# Functions for solving problems, generating hints, and more
def solve_math_problem(problem, difficulty):
prompt = os.getenv("PROMPT_SOLVE").format(problem=problem, difficulty=difficulty)
response = client.chat.completions.create(
model="Qwen/QwQ-32B-Preview",
messages=[{"role": "user", "content": prompt}],
temperature=0.7,
max_tokens=1024,
top_p=0.8
)
return response.choices[0].message["content"]
def generate_hint(problem, difficulty):
prompt = os.getenv("PROMPT_HINT").format(problem=problem, difficulty=difficulty)
response = client.chat.completions.create(
model="Qwen/QwQ-32B-Preview",
messages=[{"role": "user", "content": prompt}],
temperature=0.7,
max_tokens=512,
top_p=0.8
)
return response.choices[0].message["content"]
def verify_solution(problem, solution):
prompt = os.getenv("PROMPT_VERIFY").format(problem=problem, solution=solution)
response = client.chat.completions.create(
model="Qwen/QwQ-32B-Preview",
messages=[{"role": "user", "content": prompt}],
temperature=0.7,
max_tokens=512,
top_p=0.8
)
return response.choices[0].message["content"]
def generate_practice_question(topic, difficulty):
prompt = os.getenv("PROMPT_GENERATE").format(topic=topic, difficulty=difficulty)
response = client.chat.completions.create(
model="Qwen/QwQ-32B-Preview",
messages=[{"role": "user", "content": prompt}],
temperature=0.7,
max_tokens=512,
top_p=0.8
)
return response.choices[0].message["content"]
def explain_concept(problem, difficulty):
prompt = os.getenv("PROMPT_EXPLAIN").format(problem=problem, difficulty=difficulty)
response = client.chat.completions.create(
model="Qwen/QwQ-32B-Preview",
messages=[{"role": "user", "content": prompt}],
temperature=0.7,
max_tokens=512,
top_p=0.8
)
return response.choices[0].message["content"]
# Create Gradio interface
with gr.Blocks() as app:
gr.Markdown("## Mathematical Insight Tutor")
gr.Markdown("An advanced AI-powered tutor to help you master math concepts.")
with gr.Tab("Solve a Problem"):
problem_input = gr.Textbox(label="Enter Math Problem", placeholder="e.g., Solve for x: 2x + 5 = 15")
difficulty_level = gr.Dropdown(choices=["Beginner", "Intermediate", "Advanced"], label="Difficulty Level")
solve_button = gr.Button("Solve")
solution_output = gr.Markdown()
solve_button.click(solve_math_problem, inputs=[problem_input, difficulty_level], outputs=solution_output)
with gr.Tab("Generate a Hint"):
hint_problem_input = gr.Textbox(label="Enter Math Problem for Hint", placeholder="e.g., Solve for x: 2x + 5 = 15")
hint_difficulty = gr.Dropdown(choices=["Beginner", "Intermediate", "Advanced"], label="Difficulty Level")
hint_button = gr.Button("Generate Hint")
hint_output = gr.Markdown()
hint_button.click(generate_hint, inputs=[hint_problem_input, hint_difficulty], outputs=hint_output)
with gr.Tab("Verify Solution"):
verify_problem_input = gr.Textbox(label="Enter Math Problem", placeholder="e.g., Solve for x: 2x + 5 = 15")
solution_input = gr.Textbox(label="Enter Your Solution", placeholder="e.g., x = 5")
verify_button = gr.Button("Verify Solution")
verify_output = gr.Markdown()
verify_button.click(verify_solution, inputs=[verify_problem_input, solution_input], outputs=verify_output)
with gr.Tab("Generate Practice Question"):
topic_input = gr.Textbox(label="Enter Math Topic", placeholder="e.g., Algebra, Calculus")
practice_difficulty = gr.Dropdown(choices=["Beginner", "Intermediate", "Advanced"], label="Difficulty Level")
generate_button = gr.Button("Generate Question")
practice_output = gr.Markdown()
generate_button.click(generate_practice_question, inputs=[topic_input, practice_difficulty], outputs=practice_output)
with gr.Tab("Explain Concept"):
explain_problem_input = gr.Textbox(label="Enter Math Problem", placeholder="e.g., Solve for x: 2x + 5 = 15")
explain_difficulty = gr.Dropdown(choices=["Beginner", "Intermediate", "Advanced"], label="Difficulty Level")
explain_button = gr.Button("Explain Concept")
explain_output = gr.Markdown()
explain_button.click(explain_concept, inputs=[explain_problem_input, explain_difficulty], outputs=explain_output)
# Launch the app
app.launch(debug=True)
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