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Upload app.py
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app.py
CHANGED
@@ -1,6 +1,6 @@
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import gradio as gr
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import os
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from interface_utils import *
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maxim = 'quantity'
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submaxims = ["The response provides a sufficient amount of information.",
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@@ -10,7 +10,7 @@ checkbox_choices = [
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["Yes", "No", "NA"]
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]
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conversation_data_sliced = load_from_jsonl('
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max_conversation_length = max([len(conversation['transcript']) for conversation in conversation_data_sliced])
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conversation = get_conversation(conversation_data_sliced)
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@@ -25,9 +25,9 @@ def save_labels(conv_id, slice_idx, skipped, submaxim_0=None, submaxim_1=None):
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'submaxim_0': submaxim_0,
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'submaxim_1': submaxim_1,
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}
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os.makedirs("
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with open(f"
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json.dump(data, f, indent=4)
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@@ -39,19 +39,20 @@ def update_interface(new_conversation):
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markdown_blocks = [None] * max_conversation_length
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for i in range(max_conversation_length):
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if i < len(new_transcript) and new_transcript[i]['speaker'] != '':
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f""" **{new_transcript[i]['speaker']}**: {new_transcript[i]['response']}""",
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else:
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markdown_blocks[i] = gr.Markdown("", visible=False)
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new_last_response = gr.Text(value=get_last_response(new_transcript),
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new_radio_0_base = gr.Radio(label=submaxims[0],
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choices=checkbox_choices[0],
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value=None,
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@@ -62,7 +63,7 @@ def update_interface(new_conversation):
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visible=True)
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conv_len = gr.Number(value=len(new_transcript), visible=False)
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return [new_conv_id] + [new_slice_idx] + list(markdown_blocks) + [
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def submit(*args):
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@@ -95,12 +96,14 @@ with gr.Blocks(theme=gr.themes.Default()) as interface:
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markdown_blocks = [None] * max_conversation_length
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with gr.Column(scale=1, min_width=600):
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with gr.Group():
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gr.Markdown("""<span style='font-size: 16px;'> **
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visible=True)
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for i in range(max_conversation_length):
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if i < len(transcript):
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f""" **{transcript[i]['speaker']}**: {transcript[i]['response']}""")
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else:
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markdown_blocks[i] = gr.Markdown("")
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if i >= conv_len.value:
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@@ -109,15 +112,15 @@ with gr.Blocks(theme=gr.themes.Default()) as interface:
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with gr.Row():
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with gr.Group(elem_classes="bottom-aligned-group"):
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speaker_adapted = gr.Markdown(
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f"""<span style='font-size: 16px;'> **
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visible=True)
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last_response = gr.Textbox(value=get_last_response(transcript),
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radio_submaxim_0_base = gr.Radio(label=submaxims[0],
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choices=checkbox_choices[0],
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value=None,
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@@ -135,7 +138,6 @@ with gr.Blocks(theme=gr.themes.Default()) as interface:
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input_list = [conv_id_element] + \
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[slice_idx_element] + \
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markdown_blocks + \
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[last_response] + \
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[radio_submaxim_0_base] + \
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[radio_submaxim_1_base] + \
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[conv_len]
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@@ -145,7 +147,6 @@ with gr.Blocks(theme=gr.themes.Default()) as interface:
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outputs=[conv_id_element,
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slice_idx_element,
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*markdown_blocks,
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last_response,
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radio_submaxim_0_base,
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radio_submaxim_1_base,
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conv_len]
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@@ -156,7 +157,6 @@ with gr.Blocks(theme=gr.themes.Default()) as interface:
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outputs=[conv_id_element,
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slice_idx_element,
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*markdown_blocks,
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last_response,
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radio_submaxim_0_base,
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radio_submaxim_1_base,
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conv_len]
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import gradio as gr
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import os
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from gradio_interfaces.conversation_labeling.interface_utils import *
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maxim = 'quantity'
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submaxims = ["The response provides a sufficient amount of information.",
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["Yes", "No", "NA"]
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]
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conversation_data_sliced = load_from_jsonl('../../../data/unlabeled/conversations_unlabeled_sliced.jsonl')
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max_conversation_length = max([len(conversation['transcript']) for conversation in conversation_data_sliced])
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conversation = get_conversation(conversation_data_sliced)
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'submaxim_0': submaxim_0,
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'submaxim_1': submaxim_1,
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}
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os.makedirs("../labels", exist_ok=True)
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with open(f"../labels/{maxim}_human_labels_{conv_id}_{slice_idx}.json", 'w') as f:
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json.dump(data, f, indent=4)
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markdown_blocks = [None] * max_conversation_length
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for i in range(max_conversation_length):
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if i < len(new_transcript) and new_transcript[i]['speaker'] != '':
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if i < len(transcript) - 1:
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markdown_blocks[i] = gr.Markdown(f""" **{new_transcript[i]['speaker']}**: {new_transcript[i]['response']}""", visible=True)
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if i == len(transcript) - 1:
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markdown_blocks[i] = gr.Markdown(f""" **{transcript[i]['speaker']}**: <mark style="background-color: lightyellow">{transcript[i]['response']}</mark>""", visible=True)
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else:
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markdown_blocks[i] = gr.Markdown("", visible=False)
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# new_last_response = gr.Text(value=get_last_response(new_transcript),
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# label="",
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# lines=1,
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# container=False,
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# interactive=False,
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# autoscroll=True,
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# visible=True)
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new_radio_0_base = gr.Radio(label=submaxims[0],
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choices=checkbox_choices[0],
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value=None,
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visible=True)
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conv_len = gr.Number(value=len(new_transcript), visible=False)
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return [new_conv_id] + [new_slice_idx] + list(markdown_blocks) + [new_radio_0_base] + [new_radio_1_base] + [conv_len]
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def submit(*args):
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markdown_blocks = [None] * max_conversation_length
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with gr.Column(scale=1, min_width=600):
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with gr.Group():
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gr.Markdown("""<span style='font-size: 16px;'> **Conversation** </span>""",
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visible=True)
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for i in range(max_conversation_length):
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if i < len(transcript):
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if i < len(transcript) - 1:
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markdown_blocks[i] = gr.Markdown(f""" **{transcript[i]['speaker']}**: {transcript[i]['response']}""")
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if i == len(transcript) - 1:
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markdown_blocks[i] = gr.Markdown(f""" **{transcript[i]['speaker']}**: <mark style="background-color: lightyellow">{transcript[i]['response']}</mark>""")
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else:
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markdown_blocks[i] = gr.Markdown("")
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if i >= conv_len.value:
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with gr.Row():
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with gr.Group(elem_classes="bottom-aligned-group"):
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speaker_adapted = gr.Markdown(
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f"""<span style='font-size: 16px;'> **Labels** </span>""",
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visible=True)
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# last_response = gr.Textbox(value=get_last_response(transcript),
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# label="",
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# lines=1,
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# container=False,
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# interactive=False,
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# autoscroll=True,
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# visible=True)
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radio_submaxim_0_base = gr.Radio(label=submaxims[0],
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choices=checkbox_choices[0],
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value=None,
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input_list = [conv_id_element] + \
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[slice_idx_element] + \
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markdown_blocks + \
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[radio_submaxim_0_base] + \
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[radio_submaxim_1_base] + \
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[conv_len]
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outputs=[conv_id_element,
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slice_idx_element,
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*markdown_blocks,
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radio_submaxim_0_base,
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radio_submaxim_1_base,
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conv_len]
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outputs=[conv_id_element,
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slice_idx_element,
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*markdown_blocks,
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radio_submaxim_0_base,
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radio_submaxim_1_base,
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conv_len]
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