Create app.py
Browse files
app.py
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import gradio as gr
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import os
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demo = gr.Blocks()
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#'spaces/Gradio-Blocks/Codex_OpenAI' did not work due to paramerts error
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#'huggingface/facebook/incoder-6B' inference error
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#huggingface/Salesforce/codegen-2B-mono 500 Error
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name_list = [
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'gpt2',
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'lm-human-preference-details/train_policy_accelerate_tf_adam_gpt2_xl_grad_accu__sentiment_offline_5k.json__seed2',
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'lm-human-preference-details/train_policy_accelerate_tf_adam_gpt2_xl_grad_accu__descriptiveness_offline_5k.json__seed1',
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]
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interfaces = [gr.load(f"models/{name}") for name in name_list]
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def generate_code_os(text):
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return [interface(text) for interface in interfaces]
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def set_example(example: list) -> dict:
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return gr.Textbox.update(value=example[0])
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with gr.Blocks() as demo:
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gr.Markdown("Compare RLHF Stylistic Models")
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with gr.Box():
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with gr.Row():
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with gr.Column():
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input_text = gr.Textbox(label = "Write your prompt here", lines=4)
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with gr.Row():
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btn = gr.Button("Generate")
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# example_text = gr.Dataset(components=[input_text], samples=examples)
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# example_text.click(fn=set_example,
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# inputs = example_text,
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# outputs= example_text)
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gr.Examples(
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[["The young maid said"], ["The table has arrived at the house"]],
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[input_text],
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)
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with gr.Column():
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with gr.Column():
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btn.click(generate_code_os, inputs = input_text, outputs = [gr.Textbox(label=name_list[_], lines=4) for _ in range(len(name_list))])
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demo.launch(enable_queue=True,debug=True)
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