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Update app.py
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app.py
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@@ -4,7 +4,7 @@ from transformers import AutoTokenizer
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from huggingface_hub import snapshot_download
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from codeexecutor import get_majority_vote
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import re
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-
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# Define the model and tokenizer loading
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model_prompt = "Explain and solve the following mathematical problem step by step, showing all work: "
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tokenizer = AutoTokenizer.from_pretrained("AI-MO/NuminaMath-7B-TIR")
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@@ -165,6 +165,13 @@ custom_css = """
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}
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"""
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# Gradio app setup with flagging
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interface = gr.Interface(
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fn=gradio_interface,
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@@ -179,7 +186,7 @@ interface = gr.Interface(
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title="🔢 Math Question Solver",
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description="Enter a math question to get the model's majority-voted answer and steps to solve the problem.",
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css=custom_css, # Apply custom CSS
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flagging_dir=
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allow_flagging="auto" # Allow users to auto flag data
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)
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from huggingface_hub import snapshot_download
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from codeexecutor import get_majority_vote
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import re
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import os
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# Define the model and tokenizer loading
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model_prompt = "Explain and solve the following mathematical problem step by step, showing all work: "
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tokenizer = AutoTokenizer.from_pretrained("AI-MO/NuminaMath-7B-TIR")
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}
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"""
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# Define the directory path
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flagging_dir = "./flagged_data"
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# Create the directory if it doesn't exist
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if not os.path.exists(flagging_dir):
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os.makedirs(flagging_dir)
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# Gradio app setup with flagging
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interface = gr.Interface(
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fn=gradio_interface,
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title="🔢 Math Question Solver",
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description="Enter a math question to get the model's majority-voted answer and steps to solve the problem.",
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css=custom_css, # Apply custom CSS
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flagging_dir=flagging_dir, # Directory to save flagged data
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allow_flagging="auto" # Allow users to auto flag data
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)
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