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Browse files- app.py +42 -0
- requirements.txt +4 -0
app.py
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# + tags=["hide_inp"]
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desc = """
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### Word Problem Solver
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Chain that solves a math word problem by first generating and then running Python code. [[Code](https://github.com/srush/MiniChain/blob/main/examples/math.py)]
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(Adapted from Dust [maths-generate-code](https://dust.tt/spolu/a/d12ac33169))
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"""
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# -
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# $
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from minichain import show, prompt, OpenAI, Python
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@prompt(OpenAI(), template_file="math.pmpt.tpl")
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def pal_prompt(model, question):
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return model(dict(question=question))
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@prompt(Python())
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def python(model, inp):
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return int(model(inp + "\nprint(solution())"))
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def math_demo(question):
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return python(pal_prompt(question))
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# $
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# + tags=["hide_inp"]
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gradio = show(math_demo,
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examples=["What is the sum of the powers of 3 (3^i) that are smaller than 100?",
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"What is the sum of the 10 first positive integers?",
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"Carla is downloading a 200 GB file. She can download 2 GB/minute, but 40% of the way through the download, the download fails. Then Carla has to restart the download from the beginning. How load did it take her to download the file in minutes?"],
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out_type="markdown",
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description=desc,
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code=open("math_demo.py", "r").read().split("$")[1].strip().strip("#").strip(),
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)
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if __name__ == "__main__":
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gradio.launch()
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# -
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requirements.txt
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gradio==3.21.0
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git+https://github.com/srush/minichain@gradio
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manifest-ml
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faiss-cpu
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