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Create app.py
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app.py
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import gradio as gr
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from transformers import AutoTokenizer, AutoModelForCausalLM
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import torch
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MODEL_ID = "newtechdevng/math-tutor-smollm2-360M"
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print("Loading model...")
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tokenizer = AutoTokenizer.from_pretrained(MODEL_ID)
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model = AutoModelForCausalLM.from_pretrained(
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MODEL_ID,
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torch_dtype=torch.float32,
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device_map="cpu"
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)
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model.eval()
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print("Ready!")
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SYSTEM_PROMPT = (
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"You are an expert math teacher for students from Class 6 to Class 10. "
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"Solve problems step by step, show all working, and explain clearly."
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)
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def solve(question, class_level, history):
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if not question.strip():
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return history, ""
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prompt = (
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"<|im_start|>system\n"
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+ SYSTEM_PROMPT
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+ " You are helping a Class " + class_level + " student.<|im_end|>\n"
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+ "<|im_start|>user\n"
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+ question
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+ "<|im_end|>\n<|im_start|>assistant\n"
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)
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inputs = tokenizer(prompt, return_tensors="pt")
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with torch.no_grad():
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outputs = model.generate(
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**inputs,
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max_new_tokens=350,
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temperature=0.1,
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do_sample=True,
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pad_token_id=tokenizer.eos_token_id,
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)
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reply = tokenizer.decode(outputs[0], skip_special_tokens=False)
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answer = reply.split("<|im_start|>assistant\n")[-1]
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answer = answer.replace("<|im_end|>", "").strip()
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history.append((question, answer))
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return history, ""
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with gr.Blocks(title="Math Tutor Class 6-10", theme=gr.themes.Soft()) as app:
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gr.Markdown("# 🎓 Math Tutor — Class 6 to 10")
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gr.Markdown("Ask any math question and get step-by-step solutions!")
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with gr.Row():
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class_level = gr.Dropdown(
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choices=["6", "7", "8", "9", "10"],
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value="8", label="Select Class", scale=1
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)
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chatbot = gr.Chatbot(label="Math Solutions", height=450)
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with gr.Row():
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question = gr.Textbox(
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label="Your Question",
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placeholder="e.g. Solve 3x - 7 = 14. Show all steps.",
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lines=2, scale=4
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)
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btn = gr.Button("Solve", variant="primary", scale=1)
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gr.Examples(
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examples=[
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["Find the LCM of 12, 18 and 24.", "6"],
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["Solve: 3x - 7 = 14", "8"],
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["Find roots of x2 - 5x + 6 = 0", "10"],
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["A train travels 360 km in 4 hours. What is its speed?", "7"],
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["Find the area of a triangle with base 10 cm and height 6 cm.", "9"],
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],
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inputs=[question, class_level]
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)
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state = gr.State([])
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btn.click(solve, [question, class_level, state], [chatbot, question])
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question.submit(solve, [question, class_level, state], [chatbot, question])
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app.launch()
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