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Update app.py
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app.py
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import os
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import gradio as gr
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from huggingface_hub import login
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from transformers import pipeline
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# Load the gated model
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#model_name = "RickyDeSkywalker/TheoremLlama"
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model_name = "unsloth/Llama-3.2-1B-Instruct"
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outputs=gr.Code(label="Generated Lean 4 Code"),
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interface.launch(ssr_mode=False)
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import os
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import gradio as gr
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from huggingface_hub import login
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from transformers import pipeline
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# Load the gated model
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#model_name = "RickyDeSkywalker/TheoremLlama"
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#model_name = "unsloth/Llama-3.2-1B-Instruct"
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model_name = "internlm/internlm2-math-plus-7b"
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HF_TOKEN = os.environ.get("HF_TOKEN")
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#login(HF_TOKEN)
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generator = pipeline('text-generation', model=model_name, token=HF_TOKEN)
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# Function for generating Lean 4 code
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def generate_lean4_code(prompt):
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result = generator(prompt, max_length=1000, num_return_sequences=1)
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return result[0]['generated_text']
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# Gradio Interface
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title = "Lean 4 Code Generation with TheoremLlama"
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description = "Enter a natural language prompt to generate Lean 4 code."
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interface = gr.Interface(
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fn=generate_lean4_code,
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inputs=gr.Textbox(
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label="Prompt",
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placeholder="Prove that the sum of two even numbers is even.",
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lines=4
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),
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#outputs=gr.Code(label="Generated Lean 4 Code", language="lean"),
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outputs=gr.Code(label="Generated Lean 4 Code"),
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title=title,
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description=description
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)
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# Launch the Gradio app
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interface.launch(ssr_mode=False)
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