Delete app_grid.py

app_grid.py

@@ -1,88 +0,0 @@
-import random
-
-import gradio as gr
-from datasets import load_dataset
-
-whoops = load_dataset("nlphuji/whoops")['test']
-whoops = whoops.shuffle()
-
-print(f"Loaded WMTIS, first example:")
-print(whoops[0])
-dataset_size = len(whoops)
-print(f"dataset_size: {dataset_size}")
-
-IMAGE = 'image'
-IMAGE_DESIGNER = 'image_designer'
-DESIGNER_EXPLANATION = 'designer_explanation'
-CROWD_CAPTIONS = 'crowd_captions'
-CROWD_EXPLANATIONS = 'crowd_explanations'
-CROWD_UNDERSPECIFIED_CAPTIONS = 'crowd_underspecified_captions'
-SELECTED_CAPTION = 'selected_caption'
-COMMONSENSE_CATEGORY = 'commonsense_category'
-QA = 'question_answering_pairs'
-IMAGE_ID = 'image_id'
-left_side_columns = [IMAGE]
-right_side_columns = [x for x in whoops.features.keys() if x not in left_side_columns and x not in [QA]]
-enumerate_cols = [CROWD_CAPTIONS, CROWD_EXPLANATIONS, CROWD_UNDERSPECIFIED_CAPTIONS]
-emoji_to_label = {IMAGE_DESIGNER: '🎨, 🧑‍🎨, 💻', DESIGNER_EXPLANATION: '💡, 🤔, 🧑‍🎨',
-                  CROWD_CAPTIONS: '👥, 💬, 📝', CROWD_EXPLANATIONS: '👥, 💡, 🤔', CROWD_UNDERSPECIFIED_CAPTIONS: '👥, 💬, 👎',
-                  QA: '❓, 🤔, 💡', IMAGE_ID: '🔍, 📄, 💾', COMMONSENSE_CATEGORY: '🤔, 📚, 💡', SELECTED_CAPTION: '📝, 👌, 💬'}
-target_size = (1024, 1024)
-
-columns_number = 3
-rows_number = 10
-
-def func(index):
-    example = whoops[index]
-    values = get_instance_values(example)
-    return values
-
-
-def get_instance_values(example):
-    values = []
-    for k in left_side_columns + right_side_columns:
-        if k in enumerate_cols:
-            value = list_to_string(example[k])
-        elif k == QA:
-            qa_list = [f"Q: {x[0]} A: {x[1]}" for x in example[k]]
-            value = list_to_string(qa_list)
-        else:
-            value = example[k]
-        values.append(value)
-    return values
-
-
-def list_to_string(lst):
-    return '\n'.join(['{}. {}'.format(i + 1, item) for i, item in enumerate(lst)])
-
-def create_image_accordion_block(index):
-    example = whoops[index]
-    instance_values = get_instance_values(example)
-    assert len(left_side_columns) == len(
-        instance_values[:len(left_side_columns)])  # excluding the image & designer
-    for key, value in zip(left_side_columns, instance_values[:len(left_side_columns)]):
-        if key == IMAGE:
-            img = whoops[index]["image"]
-            img_resized = img.resize(target_size)
-            gr.Image(value=img_resized, label=whoops[index]['commonsense_category'])
-        else:
-            label = key.capitalize().replace("_", " ")
-            gr.Textbox(value=value, label=f"{label} {emoji_to_label[key]}")
-    with gr.Accordion("Click for details", open=False):
-        assert len(right_side_columns) == len(
-            instance_values[len(left_side_columns):])  # excluding the image & designer
-        for key, value in zip(right_side_columns, instance_values[len(left_side_columns):]):
-            label = key.capitalize().replace("_", " ")
-            gr.Textbox(value=value, label=f"{label} {emoji_to_label[key]}")
-
-
-
-with gr.Blocks() as demo:
-    gr.Markdown(f"# Slide to iterate WHOOPS!")
-    for row_num in range(0, rows_number):
-        with gr.Row():
-            for col_num in range(0, columns_number):
-                with gr.Column():
-                    index = random.choice(range(0, dataset_size))
-                    create_image_accordion_block(index)
-demo.launch()