Spaces:
Running
on
Zero
Running
on
Zero
| import spaces | |
| import re | |
| import gradio as gr | |
| from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig | |
| import torch | |
| title = """# 🙋🏻♂️Welcome to🌟Tonic's🔮DeepSeekMath📉 | |
| You can build with this endpoint using🔮DeepSeekMath📉 available here : [deepseek-ai/deepseek-math-7b-instruct](https://huggingface.co/deepseek-ai/deepseek-math-7b-instruct). We're using 🤖[introspector/unimath](https://huggingface.co/datasets/introspector/unimath) for cool examples, check it out below ! The demo is still a work in progress and we're looking forward to build downstream tasks that showcase outstanding mathematical reasoning. Have any ideas ? join us below ! | |
| You can also use 🔮DeepSeekMath📉 by cloning this space. Simply click here: <a style="display:inline-block" href="https://huggingface.co/spaces/Tonic/Math?duplicate=true"><img src="https://img.shields.io/badge/-Duplicate%20Space-blue?labelColor=white&style=flat&logo=data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAAAAXNSR0IArs4c6QAAAP5JREFUOE+lk7FqAkEURY+ltunEgFXS2sZGIbXfEPdLlnxJyDdYB62sbbUKpLbVNhyYFzbrrA74YJlh9r079973psed0cvUD4A+4HoCjsA85X0Dfn/RBLBgBDxnQPfAEJgBY+A9gALA4tcbamSzS4xq4FOQAJgCDwV2CPKV8tZAJcAjMMkUe1vX+U+SMhfAJEHasQIWmXNN3abzDwHUrgcRGmYcgKe0bxrblHEB4E/pndMazNpSZGcsZdBlYJcEL9Afo75molJyM2FxmPgmgPqlWNLGfwZGG6UiyEvLzHYDmoPkDDiNm9JR9uboiONcBXrpY1qmgs21x1QwyZcpvxt9NS09PlsPAAAAAElFTkSuQmCC&logoWidth=14" alt="Duplicate Space"></a></h3> | |
| Join us : 🌟TeamTonic🌟 is always making cool demos! Join our active builder's 🛠️community 👻 [](https://discord.gg/GWpVpekp) On 🤗Huggingface: [TeamTonic](https://huggingface.co/TeamTonic) & [MultiTransformer](https://huggingface.co/MultiTransformer) Math with [introspector](https://huggingface.co/introspector) On 🌐Github: [Tonic-AI](https://github.com/tonic-ai) & contribute to🌟 [SciTonic](https://github.com/Tonic-AI/scitonic)🤗Big thanks to Yuvi Sharma and all the folks at huggingface for the community grant 🤗 | |
| """ | |
| additional_info_prompt = "Explain the above using mathematics, print entire answer in latex format:" | |
| unimath1 = """Goal: | |
| X : UU | |
| Y : UU | |
| P : UU | |
| xp : (X → P) → P | |
| yp : (Y → P) → P | |
| X0 : X × Y → P | |
| x : X | |
| ============================ | |
| (Y → P) | |
| DEBUG:Going to execute: | |
| PTRDEBUGTAC<coq-core.plugins.ltac::intro@1> $1 | |
| DEBUG LTAC Evaluated term: yp | |
| TcDebug (0) > NONE??? LtacNotationCall (no location),/mnt/data1/2024/01/05/UniMath/UniMath/Foundations/PartA.v:234 | |
| """ | |
| # source : unimath/unimath/batch2/data08 | |
| unimath2 = """Goal: | |
| R : ring M : module R | |
| ============================ | |
| (islinear (idfun M)) | |
| DEBUG:Going to execute: | |
| PTRDEBUGTACapply pathsinv0; trivial | |
| Level 0: Backtrace: | |
| Proof is not complete. | |
| Level 0: Backtrace: | |
| Proof is not complete. | |
| TcDebug (0) > NONE??? LtacNotationCall (no location),/mnt/data1/2024/01/05/UniMath/UniMath/MoreFoundations/Tactics.veasy:19, Tactics (UniMath.MoreFoundations),/mnt/data1/2024/01/05/UniMath/UniMath/Algebra/Modules/Examples.v:27 | |
| """ | |
| # source : unimath/unimath/batch2/data_22/BATCH122007 | |
| unimath3 = """Goal: | |
| X : UU i : nat b : hProptoType (i < S i) x : Vector X (S i) r : i = i | |
| ============================ | |
| (pr1 lastelement = pr1 (i,, b)) | |
| DEBUG:Going to execute: | |
| PTRDEBUGTACsimpl | |
| DEBUG LTAC Evaluated term: isinjstntonat | |
| TcDebug (0) > /mnt/data1/2024/01/05/UniMath/UniMath/Combinatorics/FiniteSequences.v:114 | |
| """ | |
| # source : unimath/unimath/batch2/data_12/BATCH112026 | |
| unimath4 = """Goal: | |
| X : dcpo CX : continuous_dcpo_struct X x : pr1hSet X y : pr1hSet X | |
| ============================ | |
| (x ⊑ y | |
| ≃ (∀ i : approximating_family CX x, approximating_family CX x i ⊑ y)) | |
| DEBUG:Going to execute: | |
| PTRDEBUGTACsimple refine (p _ _ _) || | |
| simple refine (p _ _ _ _) || | |
| simple refine (p _ _ _ _ _) || | |
| simple refine (p _ _ _ _ _ _) || | |
| simple refine (p _ _ _ _ _ _ _) || | |
| simple refine (p _ _ _ _ _ _ _ _) || | |
| simple refine (p _ _ _ _ _ _ _ _ _) || | |
| simple refine (p _ _ _ _ _ _ _ _ _ _) || | |
| simple refine (p _ _ _ _ _ _ _ _ _ _ _) || | |
| simple refine (p _ _ _ _ _ _ _ _ _ _ _ _) || | |
| simple refine (p _ _ _ _ _ _ _ _ _ _ _ _ _) || | |
| simple refine | |
| (p _ _ _ _ _ _ _ _ _ _ _ _ _ _) || simple | |
| refine (p _ _ _ _ _ _ _ _ _ _ _ _ _ _ _) | |
| Level 0: Backtrace: | |
| In environment | |
| X : dcpo | |
| CX : continuous_dcpo_struct X | |
| x, y : X | |
| The term "weqimplimpl ?f ?g" has type "isaprop ?X → isaprop ?Y → ?X ≃ ?Y" | |
| while it is expected to have type | |
| "x ⊑ y ≃ (∀ i : approximating_family CX x, approximating_family CX x i ⊑ y)". | |
| Level 0: Backtrace: | |
| In environment | |
| X : dcpo | |
| CX : continuous_dcpo_struct X | |
| x, y : X | |
| The term "weqimplimpl ?f ?g" has type "isaprop ?X → isaprop ?Y → ?X ≃ ?Y" | |
| while it is expected to have type | |
| "x ⊑ y ≃ (∀ i : approximating_family CX x, approximating_family CX x i ⊑ y)". | |
| TcDebug (0) > NONE??? LtacNotationCall (no location),/mnt/data1/2024/01/05/UniMath/UniMath/Foundations/Init.vsimple_rapply:174, Init (UniMath.Foundations),/mnt/data1/2024/01/05/UniMath/UniMath/Foundations/Init.v??? LtacNotationCall:189, Init (UniMath.Foundations),/mnt/data1/2024/01/05/UniMath/UniMath/OrderTheory/DCPOs/Basis/Continuous.v:166 | |
| """ | |
| # source : unimath/unimath/batch2/data_42/BATCH142042 | |
| examples = [ | |
| [unimath1, additional_info_prompt, 1200], | |
| [unimath2, additional_info_prompt, 1200], | |
| [unimath3, additional_info_prompt, 1200], | |
| [unimath4, additional_info_prompt, 1200] | |
| ] | |
| model_name = "deepseek-ai/deepseek-math-7b-instruct" | |
| tokenizer = AutoTokenizer.from_pretrained(model_name) | |
| model = AutoModelForCausalLM.from_pretrained(model_name, torch_dtype=torch.bfloat16, device_map="auto") | |
| model.generation_config = GenerationConfig.from_pretrained(model_name) | |
| model.generation_config.pad_token_id = model.generation_config.eos_token_id | |
| def parse_full_answer(answer): | |
| """Parses the assistant's answer, excluding any text before 'Assistant :'.""" | |
| match = re.search(r"Assistant\s*:\s*(.*)", answer, re.DOTALL) | |
| return match.group(1).strip() if match else "No assistant answer found." | |
| def parse_final_answer(answer): | |
| """Extracts the final answer enclosed within \boxed{}.""" | |
| match = re.search(r"\\boxed\{([^}]+)\}", answer) | |
| return match.group(1) if match else "No final answer found." | |
| def solve_math_problem(question, additional_info, max_tokens): | |
| prompt = f"User: {question}\n{additional_info}.\nAssistant:" | |
| input_ids = tokenizer(prompt, return_tensors="pt").input_ids.to(model.device) | |
| outputs = model.generate(input_ids, max_length=max_tokens + input_ids.shape[1], pad_token_id=model.generation_config.pad_token_id) | |
| result = tokenizer.decode(outputs[0], skip_special_tokens=True) | |
| full_answer = parse_full_answer(result) | |
| final_answer = parse_final_answer(result) | |
| return full_answer, final_answer | |
| def main(): | |
| iface = gr.Interface( | |
| title="👋🏻Welcome to🌟Tonic's 🔮DeepSeekMath📉", | |
| description="""You can build with this endpoint using🔮DeepSeekMath📉 available here : [deepseek-ai/deepseek-math-7b-instruct](https://huggingface.co/deepseek-ai/deepseek-math-7b-instruct). We're using 🤖[introspector/unimath](https://huggingface.co/datasets/introspector/unimath) for cool examples, check it out below ! The demo is still a work in progress and we're looking forward to build downstream tasks that showcase outstanding mathematical reasoning. Have any ideas ? join us below ! | |
| You can also use 🔮DeepSeekMath📉 by cloning this space. Simply click here: <a style="display:inline-block" href="https://huggingface.co/spaces/Tonic/Math?duplicate=true"><img src="https://img.shields.io/badge/-Duplicate%20Space-blue?labelColor=white&style=flat&logo=data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAAAAXNSR0IArs4c6QAAAP5JREFUOE+lk7FqAkEURY+ltunEgFXS2sZGIbXfEPdLlnxJyDdYB62sbbUKpLbVNhyYFzbrrA74YJlh9r079973psed0cvUD4A+4HoCjsA85X0Dfn/RBLBgBDxnQPfAEJgBY+A9gALA4tcbamSzS4xq4FOQAJgCDwV2CPKV8tZAJcAjMMkUe1vX+U+SMhfAJEHasQIWmXNN3abzDwHUrgcRGmYcgKe0bxrblHEB4E/pndMazNpSZGcsZdBlYJcEL9Afo75molJyM2FxmPgmgPqlWNLGfwZGG6UiyEvLzHYDmoPkDDiNm9JR9uboiONcBXrpY1qmgs21x1QwyZcpvxt9NS09PlsPAAAAAElFTkSuQmCC&logoWidth=14" alt="Duplicate Space"></a></h3> | |
| Join us : 🌟TeamTonic🌟 is always making cool demos! Join our active builder's 🛠️community 👻 [](https://discord.gg/GWpVpekp) On 🤗Huggingface: [TeamTonic](https://huggingface.co/TeamTonic) & [MultiTransformer](https://huggingface.co/MultiTransformer) Math with [introspector](https://huggingface.co/introspector) On 🌐Github: [Tonic-AI](https://github.com/tonic-ai) & contribute to🌟 [SciTonic](https://github.com/Tonic-AI/scitonic)🤗Big thanks to Yuvi Sharma and all the folks at huggingface for the community grant 🤗""", | |
| fn=solve_math_problem, | |
| outputs=[ | |
| gr.Code(label="🔮TonicsMathAssistant📉", interactive=False), | |
| gr.Textbox(label="Final Answer") | |
| ], | |
| inputs=[ | |
| gr.Textbox(label="🤔Enter your math problem", lines=7), | |
| gr.Textbox(value=additional_info_prompt, label="🪜Optional train-of-thought"), | |
| gr.Slider(minimum=150, maximum=1200, value=650, label="🪙Max Tokens") | |
| ], | |
| examples=examples | |
| ) | |
| iface.launch() | |
| if __name__ == "__main__": | |
| main() |