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Create Math_Wizard.py
Browse files- Math_Wizard.py +46 -0
Math_Wizard.py
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import torch
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from transformers import AutoTokenizer, AutoModelForCausalLM
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import gradio as gr
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# Load tokenizer and model
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tokenizer = AutoTokenizer.from_pretrained("deepseek-ai/deepseek-math-7b-instruct")
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model = AutoModelForCausalLM.from_pretrained("deepseek-ai/deepseek-math-7b-instruct", torch_dtype=torch.bfloat16, device_map="cpu")
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from transformers import GenerationConfig
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model.generation_config = GenerationConfig.from_pretrained("deepseek-ai/deepseek-math-7b-instruct")
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model.generation_config.pad_token_id = model.generation_config.eos_token_id
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def solve_math_problem(questions):
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if isinstance(questions, str): # If input is a single string
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questions = [questions]
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results = []
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for question in questions:
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messages = [{"role": "user", "content": question}]
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input_tensor = tokenizer.apply_chat_template(messages, add_generation_prompt=True, return_tensors="pt")
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outputs = model.generate(input_tensor.to(model.device), max_new_tokens=100)
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result = tokenizer.decode(outputs[0][input_tensor.shape[1]:], skip_special_tokens=True)
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results.append(result)
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return results
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interface = gr.Interface(
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fn=solve_math_problem,
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inputs="text",
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outputs="text",
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title="Math Wizard",
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description="""
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Welcome to the Math Wizard!
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Ask any math question, and let the wizard guide you through the solution step-by-step.
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""",
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allow_flagging=True,
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examples=[
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["What is the integral of x^2?"],
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["How do I solve a quadratic equation?"]
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],
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theme="compact"
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)
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interface.launch()
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