playing around with gradio
Browse files
app.py
CHANGED
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@@ -9,6 +9,136 @@ import gradio as gr
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dummy_data = [1, 2, 3, 4]
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def get_plot(model_name):
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plt.plot(dummy_data)
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plt.legend(model_name)
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@@ -20,12 +150,13 @@ with demo:
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with gr.Tabs():
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with gr.TabItem("Greedy Search"):
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model_selector = gr.Dropdown(
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choices=["DistilGPT2", "GPT2", "OPT
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value="T5 Small",
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label="Model",
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interactive=True,
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)
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-
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with gr.TabItem("Sample"):
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gr.Button("New Tiger")
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with gr.TabItem("Beam Search"):
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dummy_data = [1, 2, 3, 4]
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BENCHMARK_DATA = {
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"Greedy": {
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"DistilGPT2": {
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"T4": [],
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"3090": [],
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"A100": [],
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},
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"GPT2": {
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"T4": [],
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"3090": [],
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"A100": [],
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},
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"OPT-1.3B": {
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"T4": [],
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"3090": [],
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"A100": [],
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},
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"GPTJ-6B": {
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"T4": [],
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"3090": [],
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"A100": [],
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},
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"T5 Small": {
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"T4": [],
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"3090": [],
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"A100": [],
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},
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"T5 Base": {
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"T4": [],
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"3090": [],
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"A100": [],
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},
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"T5 Large": {
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"T4": [],
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"3090": [],
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"A100": [],
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},
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"T5 3B": {
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"T4": [],
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"3090": [],
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"A100": [],
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},
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},
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"Sample": {
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"DistilGPT2": {
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"T4": [],
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"3090": [],
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"A100": [],
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},
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"GPT2": {
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"T4": [],
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"3090": [],
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"A100": [],
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},
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"OPT-1.3B": {
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"T4": [],
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"3090": [],
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"A100": [],
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},
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"GPTJ-6B": {
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"T4": [],
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"3090": [],
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"A100": [],
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},
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"T5 Small": {
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"T4": [],
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"3090": [],
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"A100": [],
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},
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"T5 Base": {
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"T4": [],
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"3090": [],
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"A100": [],
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},
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"T5 Large": {
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"T4": [],
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"3090": [],
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"A100": [],
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},
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"T5 3B": {
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"T4": [],
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"3090": [],
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"A100": [],
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},
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},
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"Beam Search": {
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"DistilGPT2": {
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"T4": [],
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"3090": [],
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"A100": [],
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},
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"GPT2": {
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"T4": [],
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"3090": [],
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"A100": [],
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},
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"OPT-1.3B": {
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"T4": [],
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"3090": [],
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"A100": [],
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},
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"GPTJ-6B": {
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"T4": [],
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"3090": [],
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"A100": [],
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},
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"T5 Small": {
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"T4": [],
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"3090": [],
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"A100": [],
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},
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"T5 Base": {
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"T4": [],
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"3090": [],
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"A100": [],
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},
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"T5 Large": {
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"T4": [],
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"3090": [],
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"A100": [],
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},
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"T5 3B": {
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"T4": [],
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"3090": [],
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"A100": [],
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},
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},
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}
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def get_plot(model_name):
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plt.plot(dummy_data)
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plt.legend(model_name)
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with gr.Tabs():
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with gr.TabItem("Greedy Search"):
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model_selector = gr.Dropdown(
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choices=["DistilGPT2", "GPT2", "OPT-1.3B", "GPTJ-6B", "T5 Small", "T5 Base", "T5 Large", "T5 3B"],
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value="T5 Small",
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label="Model",
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interactive=True,
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)
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plot = gr.Plot()
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model_selector.change(fn=get_plot, inputs=[model_selector], outputs=plot)
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with gr.TabItem("Sample"):
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gr.Button("New Tiger")
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with gr.TabItem("Beam Search"):
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