MathMentorPro / app.py
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Update app.py
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import gradio as gr
from huggingface_hub import InferenceClient
import os
import markdown
# Initialize the Hugging Face Inference Client
client = InferenceClient()
def render_latex(latex_input):
rendered_html = f"""<script src="https://cdn.jsdelivr.net/npm/mathjax@3/es5/tex-mml-chtml.js"></script>
{latex_input}"""
return f"{rendered_html}"
# Function to generate and format AI response
def generate_response(prompt_template, **kwargs):
# Simulate processing/loading
prompt = os.getenv(prompt_template).format(**kwargs)
response = client.chat.completions.create(
model="Qwen/Qwen2.5-Math-1.5B-Instruct",
messages=[{"role": "user", "content": prompt}],
temperature=0.7,
max_tokens=1024,
top_p=0.8
)
response_content = response.choices[0].message["content"]
print(response_content)
html = markdown.markdown(
response_content,
extensions=[
"markdown.extensions.fenced_code",
"markdown.extensions.tables",
"markdown.extensions.attr_list",
]
)
return f"""{render_latex(html)}"""
# Gradio app interface
with gr.Blocks() as app:
gr.HTML("""<script src="https://cdn.jsdelivr.net/npm/mathjax@3/es5/tex-mml-chtml.js"></script>""")
gr.Markdown("## Mathematical Insight Tutor")
gr.Markdown("An advanced AI-powered tutor to help you master math concepts with step-by-step explanations.")
def create_tab(tab_name, prompt_template, inputs):
with gr.Tab(tab_name):
input_fields = []
for inp in inputs:
if inp["type"] == "textbox":
input_fields.append(
gr.Textbox(lines=inp.get("lines", 1), label=inp["label"], placeholder=inp["placeholder"])
)
elif inp["type"] == "dropdown":
input_fields.append(
gr.Dropdown(choices=inp["choices"], label=inp["label"])
)
elif inp["type"] == "value":
input_fields.append(
gr.Textbox(label=inp["label"], placeholder=inp["placeholder"])
)
# Button and output
button = gr.Button(f"{tab_name} Execute")
output = gr.HTML("Results will be generated here")
# Link button to the response wrapper
button.click(
fn=lambda *args: generate_response(prompt_template, **dict(zip([inp["key"] for inp in inputs], args))),
inputs=input_fields,
outputs=output,
api_name=f"/{tab_name.lower().replace(' ', '_')}_execute"
)
# Tabs for functionalities
create_tab(
"Solve a Problem",
"PROMPT_SOLVE",
[
{"key": "problem", "type": "textbox", "label": "Enter Math Problem", "placeholder": "e.g., Solve for x: 2x + 5 = 15"},
{"key": "difficulty", "type": "dropdown", "label": "Difficulty Level", "choices": ["Beginner", "Intermediate", "Advanced"]}
]
)
create_tab(
"Generate a Hint",
"PROMPT_HINT",
[
{"key": "problem", "type": "textbox", "label": "Enter Math Problem for Hint", "placeholder": "e.g., Solve for x: 2x + 5 = 15"},
{"key": "difficulty", "type": "dropdown", "label": "Difficulty Level", "choices": ["Beginner", "Intermediate", "Advanced"]}
]
)
create_tab(
"Verify Solution",
"PROMPT_VERIFY",
[
{"key": "problem", "type": "textbox", "label": "Enter Math Problem", "placeholder": "e.g., Solve for x: 2x + 5 = 15"},
{"key": "solution", "type": "value", "label": "Enter Your Solution", "placeholder": "e.g., x = 5"}
]
)
create_tab(
"Generate Practice Question",
"PROMPT_GENERATE",
[
{"key": "topic", "type": "textbox", "label": "Enter Math Topic", "placeholder": "e.g., Algebra, Calculus"},
{"key": "difficulty", "type": "dropdown", "label": "Difficulty Level", "choices": ["Beginner", "Intermediate", "Advanced"]}
]
)
create_tab(
"Explain Concept",
"PROMPT_EXPLAIN",
[
{"key": "problem", "type": "textbox", "label": "Enter Math Problem", "placeholder": "e.g., Solve for x: 2x + 5 = 15"},
{"key": "difficulty", "type": "dropdown", "label": "Difficulty Level", "choices": ["Beginner", "Intermediate", "Advanced"]}
]
)
# Launch the app
app.launch(debug=True)