added placeholder for flagging
Browse files
app.py
CHANGED
@@ -1,10 +1,9 @@
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import gradio as gr
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from utils import *
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import os
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from huggingface_hub import snapshot_download
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def build_demo():
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-
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with gr.Blocks() as demo:
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state0 = gr.State()
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@@ -23,9 +22,15 @@ def build_demo():
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with gr.Row():
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with gr.Column():
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with gr.Column():
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-
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with gr.Row():
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leftvote_btn = gr.Button(
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value="π A is Fake", visible=False, interactive=False
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@@ -38,29 +43,40 @@ def build_demo():
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value="π Both are Real", visible=False, interactive=False
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)
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btn_list = [leftvote_btn, rightvote_btn, tie_btn, bothbad_btn]
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leftvote_btn.click(
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leftvote_last_response,
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inputs=[state0, state1],
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outputs=[leftvote_btn, rightvote_btn, tie_btn, bothbad_btn, model_selector_left, model_selector_right]
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rightvote_btn.click(
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rightvote_last_response,
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inputs=[state0, state1],
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outputs=[leftvote_btn, rightvote_btn, tie_btn, bothbad_btn, model_selector_left, model_selector_right]
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tie_btn.click(
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tievote_last_response,
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inputs=[state0, state1],
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outputs=[leftvote_btn, rightvote_btn, tie_btn, bothbad_btn, model_selector_left, model_selector_right]
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bothbad_btn.click(
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bothbadvote_last_response,
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inputs=[state0, state1],
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outputs=[leftvote_btn, rightvote_btn, tie_btn, bothbad_btn, model_selector_left, model_selector_right]
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new_round_button = gr.Button("New Round")
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new_round_button.click(generate_songs, [state0, state1], [state0, audio_a, state1, audio_b, model_selector_left, model_selector_right]).then(
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@@ -77,7 +93,8 @@ def build_demo():
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if __name__ == "__main__":
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SONG_SOURCE = os.getenv("SONG_SOURCE")
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-
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# elo_results_file, leaderboard_table_file = load_elo_results(elo_results_dir)
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demo = build_demo()
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demo.queue(max_size=20).launch(server_name="0.0.0.0")
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import gradio as gr
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from utils import *
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import os
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def build_demo():
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with gr.Blocks() as demo:
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state0 = gr.State()
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with gr.Row():
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with gr.Column():
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leftheard_btn = gr.Button(
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value="π© Heard this song before", visible=False, interactive=False
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)
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audio_a = gr.Audio(label="Model A", max_length = 100, show_download_button = False)
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with gr.Column():
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rightheard_btn = gr.Button(
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value="π© Heard this song before", visible=False, interactive=False
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)
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audio_b = gr.Audio(label="Model B", max_length = 100, show_download_button = False)
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with gr.Row():
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leftvote_btn = gr.Button(
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value="π A is Fake", visible=False, interactive=False
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value="π Both are Real", visible=False, interactive=False
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)
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btn_list = [leftvote_btn, rightvote_btn, tie_btn, bothbad_btn, leftheard_btn, rightheard_btn]
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leftvote_btn.click(
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leftvote_last_response,
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inputs=[state0, state1],
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outputs=[leftvote_btn, rightvote_btn, tie_btn, bothbad_btn, leftheard_btn, rightheard_btn, model_selector_left, model_selector_right]
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)
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rightvote_btn.click(
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rightvote_last_response,
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inputs=[state0, state1],
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outputs=[leftvote_btn, rightvote_btn, tie_btn, bothbad_btn, leftheard_btn, rightheard_btn, model_selector_left, model_selector_right]
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)
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tie_btn.click(
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tievote_last_response,
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inputs=[state0, state1],
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outputs=[leftvote_btn, rightvote_btn, tie_btn, bothbad_btn, leftheard_btn, rightheard_btn, model_selector_left, model_selector_right]
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)
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bothbad_btn.click(
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bothbadvote_last_response,
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inputs=[state0, state1],
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outputs=[leftvote_btn, rightvote_btn, tie_btn, bothbad_btn, leftheard_btn, rightheard_btn, model_selector_left, model_selector_right]
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)
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leftheard_btn.click(
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leftheard_last_response,
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inputs=state0,
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outputs=[leftvote_btn, rightvote_btn, tie_btn, bothbad_btn, leftheard_btn, rightheard_btn, model_selector_left, model_selector_right]
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)
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rightheard_btn.click(
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rightheard_last_response,
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inputs=state1,
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outputs=[leftvote_btn, rightvote_btn, tie_btn, bothbad_btn, leftheard_btn, rightheard_btn, model_selector_left, model_selector_right]
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)
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new_round_button = gr.Button("New Round")
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new_round_button.click(generate_songs, [state0, state1], [state0, audio_a, state1, audio_b, model_selector_left, model_selector_right]).then(
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if __name__ == "__main__":
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SONG_SOURCE = os.getenv("SONG_SOURCE")
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TOKEN = os.getenv("TOKEN")
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snapshot_download(repo_id=SONG_SOURCE, repo_type="dataset", token = TOKEN, local_dir = '/data/')
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# elo_results_file, leaderboard_table_file = load_elo_results(elo_results_dir)
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demo = build_demo()
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demo.queue(max_size=20).launch(server_name="0.0.0.0")
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