Spaces:
Sleeping
Sleeping
Fix: Issue with cache
Browse files
app.py
CHANGED
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@@ -132,9 +132,9 @@ intro_html = """
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<h2>The ACT-UP Oral History Project</h2>
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<div class="content-box">
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<p>You will be annotating short audio clips extracted from the ACT UP (AIDS Coalition to Unleash Power) Oral History Project developed by Sarah Schulman and Jim Hubbard .
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</div>
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<h2>What will you be annotating?</h2>
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@@ -210,14 +210,8 @@ side_bar_html = """
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</table>
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</div>
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"""
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persistent_storage = Path('/data')
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# List of all audio files to annotate
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global file_list
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# Initialize an empty DataFrame to store annotations
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annotations = pd.DataFrame(columns=['sample_id', 'sentence', 'emotion', 'confidence', 'comments', 'n_clicks'])
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password_files = os.getenv("password_files")
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@@ -263,7 +257,7 @@ def get_storage(password):
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def load_first_example(participant_id, ann_completed, current_index):
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""" Loads and first example and updates index"""
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global annotations
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path_ann = f'{persistent_storage}/{participant_id}_annotations.csv'
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print(path_ann)
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if os.path.exists(path_ann):
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@@ -379,6 +373,12 @@ def count_clicks(n_clicks):
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with (gr.Blocks(theme=gr.themes.Soft(), css = css) as demo):
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# Instructions for emotion annotation
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with gr.Sidebar():
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participant_id = gr.Textbox(label='What is your participant ID?', interactive = True)
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<h2>The ACT-UP Oral History Project</h2>
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<div class="content-box">
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<p>You will be annotating short audio clips extracted from the ACT UP (AIDS Coalition to Unleash Power) Oral History Project developed by Sarah Schulman and Jim Hubbard .
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This archive features interviews with individuals who were part of ACT UP during the late 1980s and early 1990s, amidst the AIDS epidemic.
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In each video, the subjects talk about their life before the epidemic, how they were affected by AIDS and their work in ACT UP.</p>
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</div>
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<h2>What will you be annotating?</h2>
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</table>
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</div>
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"""
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global file_list
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persistent_storage = Path('/data')
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password_files = os.getenv("password_files")
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def load_first_example(participant_id, ann_completed, current_index):
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""" Loads and first example and updates index"""
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global annotations
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path_ann = f'{persistent_storage}/{participant_id}_annotations.csv'
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print(path_ann)
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if os.path.exists(path_ann):
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with (gr.Blocks(theme=gr.themes.Soft(), css = css) as demo):
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# List of all audio files to annotate
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# Initialize an empty DataFrame to store annotations
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annotations = pd.DataFrame(columns=['sample_id', 'sentence', 'emotion', 'confidence', 'comments', 'n_clicks'])
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# Instructions for emotion annotation
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with gr.Sidebar():
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participant_id = gr.Textbox(label='What is your participant ID?', interactive = True)
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