Delete app_quantity.py

app_quantity.py

@@ -1,166 +0,0 @@
-import gradio as gr
-import os
-from gradio_interfaces.conversation_labeling.interface_utils import *
-
-maxim = 'quantity'
-submaxims = ["The response provides a sufficient amount of information.",
-             "The response does not contain unnecessary details."]
-checkbox_choices = [
-    ["Yes", "No", "NA"],
-    ["Yes", "No", "NA"]
-]
-
-conversation_data = load_from_jsonl('./unlabeled/conversations_unlabeled.jsonl')
-max_conversation_length = max([len(conversation['transcript']) for conversation in conversation_data])
-conversation = get_conversation(conversation_data)
-
-
-def save_labels(conv_id, skipped, submaxim_0=None, submaxim_1=None):
-    data = {
-        'conv_id': conv_id,
-        'maxim': maxim,
-        'skipped': skipped,
-        'submaxim_0': submaxim_0,
-        'submaxim_1': submaxim_1,
-    }
-    os.makedirs("./labels", exist_ok=True)
-
-    with open(f"./labels/{maxim}_human_labels_{conv_id}.json", 'w') as f:
-        json.dump(data, f, indent=4)
-
-
-def update_interface(new_conversation):
-    new_conv_id = new_conversation['conv_id']
-    new_transcript = pad_transcript(new_conversation['transcript'], max_conversation_length)
-
-    markdown_blocks = [None] * max_conversation_length
-    for i in range(max_conversation_length):
-        if new_transcript[i]['speaker'] != '':
-            markdown_blocks[i] = gr.Markdown(f"""  **{new_transcript[i]['speaker']}**:      {new_transcript[i]['response']}""",
-                                             visible=True)
-        else:
-            markdown_blocks[i] = gr.Markdown("", visible=False)
-
-    new_last_response = gr.Text(value=get_last_response(new_transcript),
-                                label="",
-                                lines=1,
-                                container=False,
-                                interactive=False,
-                                autoscroll=True,
-                                visible=True)
-    new_radio_0_base = gr.Radio(label=submaxims[0],
-                                choices=checkbox_choices[0],
-                                value=None,
-                                visible=True)
-    new_radio_1_base = gr.Radio(label=submaxims[1],
-                                choices=checkbox_choices[1],
-                                value=None,
-                                visible=True)
-    conv_len = gr.Number(value=len(new_transcript), visible=False)
-
-    return [new_conv_id] + list(markdown_blocks) + [new_last_response] + [new_radio_0_base] + [new_radio_1_base] + [conv_len]
-
-
-def submit(*args):
-    conv_id = args[0]
-    submaxim_0 = args[-3]
-    submaxim_1 = args[-2]
-
-    save_labels(conv_id, skipped=False, submaxim_0=submaxim_0, submaxim_1=submaxim_1)
-
-    new_conversation = get_conversation(conversation_data)
-    return update_interface(new_conversation)
-
-
-def skip(*args):
-    conv_id = args[0]
-    save_labels(conv_id, skipped=True)
-
-    new_conversation = get_conversation(conversation_data)
-    return update_interface(new_conversation)
-
-
-with gr.Blocks(theme=gr.themes.Default()) as interface:
-    conv_id = conversation['conv_id']
-    transcript = conversation['transcript']
-    conv_len = gr.Number(value=len(transcript), visible=False)
-    padded_transcript = pad_transcript(transcript, max_conversation_length)
-
-    markdown_blocks = [None] * max_conversation_length
-    with gr.Column(scale=1, min_width=600):
-        with gr.Group():
-            gr.Markdown("""<span style='font-size: 16px;'>&nbsp;&nbsp;&nbsp;&nbsp;**Conversational context** </span>""",
-                        visible=True)
-        for i in range(max_conversation_length):
-            markdown_blocks[i] = gr.Markdown(f"""&nbsp;&nbsp;**{padded_transcript[i]['speaker']}**: &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;{padded_transcript[i]['response']}""")
-            if i >= conv_len.value:
-                markdown_blocks[i].visible = False
-
-        with gr.Row():
-            with gr.Group(elem_classes="bottom-aligned-group"):
-                speaker_adapted = gr.Markdown(
-                    f"""<span style='font-size: 16px;'>&nbsp;&nbsp;&nbsp;&nbsp;**Response to label** </span>""",
-                    visible=True)
-                last_response = gr.Textbox(value=get_last_response(transcript),
-                                           label="",
-                                           lines=1,
-                                           container=False,
-                                           interactive=False,
-                                           autoscroll=True,
-                                           visible=True)
-                radio_submaxim_0_base = gr.Radio(label=submaxims[0],
-                                                 choices=checkbox_choices[0],
-                                                 value=None,
-                                                 visible=True)
-                radio_submaxim_1_base = gr.Radio(label=submaxims[1],
-                                                 choices=checkbox_choices[1],
-                                                 value=None,
-                                                 visible=True)
-
-    submit_button = gr.Button("Submit")
-    skip_button = gr.Button("Skip")
-
-    conv_id_element = gr.Text(value=conv_id, visible=False)
-    input_list = [conv_id_element] + \
-                 markdown_blocks + \
-                 [last_response] + \
-                 [radio_submaxim_0_base] + \
-                 [radio_submaxim_1_base] + \
-                 [conv_len]
-    submit_button.click(
-        fn=submit,
-        inputs=input_list,
-        outputs=[conv_id_element,
-                 *markdown_blocks,
-                 last_response,
-                 radio_submaxim_0_base,
-                 radio_submaxim_1_base,
-                 conv_len]
-    )
-    skip_button.click(
-        fn=skip,
-        inputs=input_list,
-        outputs=[conv_id_element,
-                 *markdown_blocks,
-                 last_response,
-                 radio_submaxim_0_base,
-                 radio_submaxim_1_base,
-                 conv_len]
-    )
-
-css = """
-#textbox_id textarea {
-    background-color: white;
-}
-
-.bottom-aligned-group {
-    display: flex;
-    flex-direction: column;
-    justify-content: flex-end;
-    height: 100%;
-}
-"""
-interface.css = css
-interface.launch()
-
-