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Browse files- app.py +37 -25
- interface_utils.py +18 -11
app.py
CHANGED
@@ -8,33 +8,37 @@ checkbox_choices = [
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["Yes", "No", "NA"]
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]
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conversation_data = load_from_jsonl('./data/
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max_conversation_length = max([len(conversation['transcript']) for conversation in
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conversation = get_conversation(conversation_data)
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-
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data = {
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'conv_id': conv_id,
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'maxim': maxim,
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'skipped': skipped,
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'submaxim_0': submaxim_0
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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}.json", 'w') as f:
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json.dump(data, f, indent=4)
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def update_interface(new_conversation):
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new_conv_id = new_conversation['conv_id']
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-
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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 new_transcript[i]['speaker'] != '':
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markdown_blocks[i] = gr.Markdown(
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-
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else:
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markdown_blocks[i] = gr.Markdown("", visible=False)
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@@ -51,32 +55,34 @@ 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] + list(markdown_blocks) + [new_last_response] + [new_radio_0_base] + [conv_len]
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def submit(*args):
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conv_id = args[0]
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submaxim_0 = args[-2]
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save_labels(conv_id, skipped=False, submaxim_0=submaxim_0)
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new_conversation = get_conversation(
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return update_interface(new_conversation)
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def skip(*args):
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conv_id = args[0]
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new_conversation = get_conversation(
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return update_interface(new_conversation)
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with gr.Blocks(theme=gr.themes.Default()) as interface:
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conv_id = conversation['conv_id']
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transcript = conversation['transcript']
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conv_len = gr.Number(value=len(transcript), visible=False)
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padded_transcript = pad_transcript(transcript, max_conversation_length)
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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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@@ -84,7 +90,11 @@ with gr.Blocks(theme=gr.themes.Default()) as interface:
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gr.Markdown("""<span style='font-size: 16px;'> **Conversational context** </span>""",
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visible=True)
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for i in range(max_conversation_length):
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-
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if i >= conv_len.value:
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markdown_blocks[i].visible = False
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@@ -109,7 +119,9 @@ with gr.Blocks(theme=gr.themes.Default()) as interface:
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skip_button = gr.Button("Skip")
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conv_id_element = gr.Text(value=conv_id, visible=False)
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input_list = [conv_id_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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@@ -118,6 +130,7 @@ with gr.Blocks(theme=gr.themes.Default()) as interface:
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fn=submit,
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inputs=input_list,
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outputs=[conv_id_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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@@ -127,6 +140,7 @@ with gr.Blocks(theme=gr.themes.Default()) as interface:
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fn=skip,
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inputs=input_list,
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outputs=[conv_id_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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@@ -135,17 +149,15 @@ with gr.Blocks(theme=gr.themes.Default()) as interface:
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css = """
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#textbox_id textarea {
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}
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.bottom-aligned-group {
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}
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"""
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interface.css = css
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interface.launch()
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-
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-
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["Yes", "No", "NA"]
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]
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conversation_data = load_from_jsonl('./data/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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def save_labels(conv_id, slice_idx, skipped, submaxim_0=None):
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data = {
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'conv_id': conv_id,
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'slice_idx': int(slice_idx),
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'maxim': maxim,
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'skipped': skipped,
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'submaxim_0': submaxim_0,
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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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def update_interface(new_conversation):
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new_conv_id = new_conversation['conv_id']
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new_slice_idx = new_conversation['slice_idx']
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new_transcript = new_conversation['transcript']
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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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markdown_blocks[i] = gr.Markdown(
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f""" **{new_transcript[i]['speaker']}**: {new_transcript[i]['response']}""",
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visible=True)
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else:
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markdown_blocks[i] = gr.Markdown("", visible=False)
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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_last_response] + [new_radio_0_base] + [conv_len]
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def submit(*args):
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conv_id = args[0]
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slice_idx = args[1]
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submaxim_0 = args[-2]
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save_labels(conv_id, slice_idx, skipped=False, submaxim_0=submaxim_0)
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new_conversation = get_conversation(conversation_data_sliced)
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return update_interface(new_conversation)
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def skip(*args):
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conv_id = args[0]
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slice_idx = args[1]
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save_labels(conv_id, slice_idx, skipped=True)
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new_conversation = get_conversation(conversation_data_sliced)
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return update_interface(new_conversation, slice_idx)
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with gr.Blocks(theme=gr.themes.Default()) as interface:
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conv_id = conversation['conv_id']
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slice_idx = conversation['slice_idx']
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transcript = conversation['transcript']
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conv_len = gr.Number(value=len(transcript), visible=False)
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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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gr.Markdown("""<span style='font-size: 16px;'> **Conversational context** </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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markdown_blocks[i] = gr.Markdown(
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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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markdown_blocks[i].visible = False
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skip_button = gr.Button("Skip")
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conv_id_element = gr.Text(value=conv_id, visible=False)
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slice_idx_element = gr.Text(value=slice_idx, visible=False)
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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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fn=submit,
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inputs=input_list,
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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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fn=skip,
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inputs=input_list,
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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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css = """
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#textbox_id textarea {
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background-color: white;
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}
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.bottom-aligned-group {
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display: flex;
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flex-direction: column;
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justify-content: flex-end;
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height: 100%;
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}
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"""
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interface.css = css
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interface.launch()
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interface_utils.py
CHANGED
@@ -31,17 +31,24 @@ def save_to_jsonl(data, filename):
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file.write(json_line + '\n')
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def get_conversation(
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conv = random.choice(
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def get_last_response(transcript):
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file.write(json_line + '\n')
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def get_conversation(data, min_length=0):
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conv = random.choice(data)
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transcript = conv['transcript']
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slice_index = random.randint(min_length, len(transcript) - 1)
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conv_slice = transcript[slice_index]
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return {
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'conv_id': conv['conv_id'],
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'slice_idx': slice_index,
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'transcript': conv_slice
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}
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# def pad_transcript(transcript, max_length):
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# padding_count = max_length - len(transcript)
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# if padding_count > 0:
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# for _ in range(padding_count):
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# transcript.append({'speaker': '', 'response': ''})
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# return transcript
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def get_last_response(transcript):
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