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Update app.py
Browse files
app.py
CHANGED
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@@ -118,7 +118,7 @@ def generate_callout(ratio, scope_text):
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f'<div style="text-align: right;">'
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f' <div style="display: inline-block; background-color: #f2f2f2; padding: 10px; '
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f' border-radius: 5px; margin-bottom:10px;">'
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f' Energy difference of <strong>{ratio:,.1f}x</strong> for {scope_text}.'
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f' </div>'
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f'</div>'
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)
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@@ -303,32 +303,36 @@ with demo:
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</div>
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''')
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# --- Global Callout ---
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# --- Tabs for the different tasks ---
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with gr.Tabs():
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# --- Text Generation Tab ---
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with gr.TabItem("Text Generation π¬"):
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with gr.Row():
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tg_table = gr.HTML()
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init_callout, init_table = update_text_generation(model_class_options[0], "Low to High")
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tg_callout.value = init_callout
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@@ -338,12 +342,15 @@ with demo:
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# --- Image Generation Tab ---
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with gr.TabItem("Image Generation π·"):
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img_table = gr.HTML()
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init_callout, init_table = update_image_generation("Low to High")
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img_callout.value = init_callout
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@@ -352,12 +359,15 @@ with demo:
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# --- Text Classification Tab ---
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with gr.TabItem("Text Classification π"):
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tc_table = gr.HTML()
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init_callout, init_table = update_text_classification("Low to High")
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tc_callout.value = init_callout
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@@ -366,12 +376,15 @@ with demo:
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# --- Image Classification Tab ---
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with gr.TabItem("Image Classification πΌοΈ"):
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ic_table = gr.HTML()
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init_callout, init_table = update_image_classification("Low to High")
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ic_callout.value = init_callout
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@@ -380,12 +393,15 @@ with demo:
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# --- Image Captioning Tab ---
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with gr.TabItem("Image Captioning π"):
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icap_table = gr.HTML()
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init_callout, init_table = update_image_captioning("Low to High")
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icap_callout.value = init_callout
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@@ -394,12 +410,15 @@ with demo:
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# --- Summarization Tab ---
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with gr.TabItem("Summarization π"):
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sum_table = gr.HTML()
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init_callout, init_table = update_summarization("Low to High")
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sum_callout.value = init_callout
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@@ -408,12 +427,15 @@ with demo:
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# --- Automatic Speech Recognition Tab ---
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with gr.TabItem("Automatic Speech Recognition π¬"):
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asr_table = gr.HTML()
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init_callout, init_table = update_asr("Low to High")
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asr_callout.value = init_callout
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@@ -422,12 +444,15 @@ with demo:
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# --- Object Detection Tab ---
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with gr.TabItem("Object Detection π"):
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od_table = gr.HTML()
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init_callout, init_table = update_object_detection("Low to High")
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od_callout.value = init_callout
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@@ -436,12 +461,15 @@ with demo:
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# --- Sentence Similarity Tab ---
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with gr.TabItem("Sentence Similarity π"):
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ss_table = gr.HTML()
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init_callout, init_table = update_sentence_similarity("Low to High")
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ss_callout.value = init_callout
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@@ -450,12 +478,15 @@ with demo:
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# --- Extractive QA Tab ---
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with gr.TabItem("Extractive QA β"):
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qa_table = gr.HTML()
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init_callout, init_table = update_extractive_qa("Low to High")
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qa_callout.value = init_callout
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@@ -464,12 +495,15 @@ with demo:
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# --- All Tasks Tab ---
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with gr.TabItem("All Tasks π‘"):
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all_table = gr.HTML()
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init_callout, init_table = update_all_tasks("Low to High")
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all_callout.value = init_callout
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f'<div style="text-align: right;">'
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f' <div style="display: inline-block; background-color: #f2f2f2; padding: 10px; '
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f' border-radius: 5px; margin-bottom:10px;">'
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f' Energy efficiency difference of <strong>{ratio:,.1f}x</strong> for {scope_text}.'
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f' </div>'
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f'</div>'
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)
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</div>
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''')
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# --- Global Welcome & Callout Row ---
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with gr.Row():
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with gr.Column(scale=8):
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gr.Markdown("<div style='text-align: left; font-size: 1.2em; margin-top: 10px;'>Select different tasks to see scored models.</div>")
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with gr.Column(scale=4):
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global_callout = gr.HTML(get_global_callout())
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# --- Tabs for the different tasks ---
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with gr.Tabs():
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# --- Text Generation Tab ---
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with gr.TabItem("Text Generation π¬"):
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with gr.Row():
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with gr.Column(scale=8):
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model_class_options = [
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"A (Single Consumer GPU) <20B parameters",
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"B (Single Cloud GPU) 20-66B parameters",
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"C (Multiple Cloud GPUs) >66B parameters"
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]
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model_class_dropdown = gr.Dropdown(
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choices=model_class_options,
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label="Select Model Class",
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value=model_class_options[0]
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)
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sort_dropdown_tg = gr.Dropdown(
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choices=["Low to High", "High to Low"],
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label="Sort",
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value="Low to High"
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)
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with gr.Column(scale=4):
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tg_callout = gr.HTML()
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tg_table = gr.HTML()
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init_callout, init_table = update_text_generation(model_class_options[0], "Low to High")
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tg_callout.value = init_callout
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# --- Image Generation Tab ---
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with gr.TabItem("Image Generation π·"):
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with gr.Row():
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with gr.Column(scale=8):
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sort_dropdown_img = gr.Dropdown(
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choices=["Low to High", "High to Low"],
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label="Sort",
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value="Low to High"
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)
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with gr.Column(scale=4):
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img_callout = gr.HTML()
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img_table = gr.HTML()
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init_callout, init_table = update_image_generation("Low to High")
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img_callout.value = init_callout
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# --- Text Classification Tab ---
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with gr.TabItem("Text Classification π"):
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with gr.Row():
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with gr.Column(scale=8):
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sort_dropdown_tc = gr.Dropdown(
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choices=["Low to High", "High to Low"],
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label="Sort",
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value="Low to High"
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)
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with gr.Column(scale=4):
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tc_callout = gr.HTML()
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tc_table = gr.HTML()
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init_callout, init_table = update_text_classification("Low to High")
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tc_callout.value = init_callout
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# --- Image Classification Tab ---
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with gr.TabItem("Image Classification πΌοΈ"):
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with gr.Row():
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with gr.Column(scale=8):
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sort_dropdown_ic = gr.Dropdown(
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choices=["Low to High", "High to Low"],
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label="Sort",
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value="Low to High"
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)
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with gr.Column(scale=4):
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ic_callout = gr.HTML()
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ic_table = gr.HTML()
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init_callout, init_table = update_image_classification("Low to High")
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ic_callout.value = init_callout
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# --- Image Captioning Tab ---
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with gr.TabItem("Image Captioning π"):
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with gr.Row():
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with gr.Column(scale=8):
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sort_dropdown_icap = gr.Dropdown(
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choices=["Low to High", "High to Low"],
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label="Sort",
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value="Low to High"
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)
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with gr.Column(scale=4):
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icap_callout = gr.HTML()
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icap_table = gr.HTML()
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init_callout, init_table = update_image_captioning("Low to High")
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icap_callout.value = init_callout
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# --- Summarization Tab ---
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with gr.TabItem("Summarization π"):
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with gr.Row():
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with gr.Column(scale=8):
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sort_dropdown_sum = gr.Dropdown(
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choices=["Low to High", "High to Low"],
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label="Sort",
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value="Low to High"
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)
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with gr.Column(scale=4):
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sum_callout = gr.HTML()
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sum_table = gr.HTML()
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init_callout, init_table = update_summarization("Low to High")
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sum_callout.value = init_callout
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# --- Automatic Speech Recognition Tab ---
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with gr.TabItem("Automatic Speech Recognition π¬"):
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with gr.Row():
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with gr.Column(scale=8):
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sort_dropdown_asr = gr.Dropdown(
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choices=["Low to High", "High to Low"],
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label="Sort",
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value="Low to High"
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)
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with gr.Column(scale=4):
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asr_callout = gr.HTML()
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asr_table = gr.HTML()
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init_callout, init_table = update_asr("Low to High")
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asr_callout.value = init_callout
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# --- Object Detection Tab ---
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with gr.TabItem("Object Detection π"):
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with gr.Row():
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with gr.Column(scale=8):
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sort_dropdown_od = gr.Dropdown(
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choices=["Low to High", "High to Low"],
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label="Sort",
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value="Low to High"
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)
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with gr.Column(scale=4):
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od_callout = gr.HTML()
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od_table = gr.HTML()
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init_callout, init_table = update_object_detection("Low to High")
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od_callout.value = init_callout
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# --- Sentence Similarity Tab ---
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with gr.TabItem("Sentence Similarity π"):
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with gr.Row():
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with gr.Column(scale=8):
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sort_dropdown_ss = gr.Dropdown(
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choices=["Low to High", "High to Low"],
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label="Sort",
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value="Low to High"
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)
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with gr.Column(scale=4):
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ss_callout = gr.HTML()
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ss_table = gr.HTML()
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init_callout, init_table = update_sentence_similarity("Low to High")
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ss_callout.value = init_callout
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# --- Extractive QA Tab ---
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with gr.TabItem("Extractive QA β"):
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with gr.Row():
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with gr.Column(scale=8):
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sort_dropdown_qa = gr.Dropdown(
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choices=["Low to High", "High to Low"],
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label="Sort",
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value="Low to High"
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)
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with gr.Column(scale=4):
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qa_callout = gr.HTML()
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qa_table = gr.HTML()
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init_callout, init_table = update_extractive_qa("Low to High")
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qa_callout.value = init_callout
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# --- All Tasks Tab ---
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with gr.TabItem("All Tasks π‘"):
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with gr.Row():
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with gr.Column(scale=8):
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sort_dropdown_all = gr.Dropdown(
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choices=["Low to High", "High to Low"],
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label="Sort",
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value="Low to High"
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)
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with gr.Column(scale=4):
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all_callout = gr.HTML()
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all_table = gr.HTML()
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init_callout, init_table = update_all_tasks("Low to High")
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all_callout.value = init_callout
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