Spaces:
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Sleeping
yay it works! thanks Pete <3
Browse files
app.py
CHANGED
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@@ -63,61 +63,61 @@ with demo:
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with gr.Column():
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plot = gr.Plot(get_plots('image_generation.csv'))
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with gr.Column():
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table = gr.Dataframe(get_model_names('image_generation.csv'))
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with gr.TabItem("Text Classification 🎭"):
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with gr.Row():
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with gr.Column():
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plot = gr.Plot(get_plots('text_classification.csv'))
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with gr.Column():
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table = gr.Dataframe(get_model_names('text_classification.csv'))
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with gr.TabItem("Image Classification 🖼️"):
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with gr.Row():
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with gr.Column():
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plot = gr.Plot(get_plots('image_classification.csv'))
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with gr.Column():
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table = gr.Dataframe(get_model_names('image_classification.csv'))
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with gr.TabItem("Image Captioning 📝"):
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with gr.Row():
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with gr.Column():
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plot = gr.Plot(get_plots('question_answering.csv'))
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with gr.Column():
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table = gr.Dataframe(get_model_names('question_answering.csv'))
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with gr.TabItem("Summarization 📃"):
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with gr.Row():
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with gr.Column():
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plot = gr.Plot(get_plots('summarization.csv'))
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with gr.Column():
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table = gr.Dataframe(get_model_names('summarization.csv'))
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with gr.TabItem("Automatic Speech Recognition 💬 "):
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with gr.Row():
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with gr.Column():
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plot = gr.Plot(get_plots('asr.csv'))
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with gr.Column():
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table = gr.Dataframe(get_model_names('asr.csv'))
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with gr.TabItem("Object Detection 🚘"):
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with gr.Row():
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with gr.Column():
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plot = gr.Plot(get_plots('object_detection.csv'))
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with gr.Column():
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table = gr.Dataframe(get_model_names('object_detection.csv'))
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with gr.TabItem("Sentence Similarity 📚"):
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with gr.Row():
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with gr.Column():
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plot = gr.Plot(get_plots('sentence_similarity.csv'))
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with gr.Column():
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table = gr.Dataframe(get_model_names('sentence_similarity.csv'))
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with gr.TabItem("Extractive QA ❔"):
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with gr.Row():
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with gr.Column():
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plot = gr.Plot(get_plots('question_answering.csv'))
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with gr.Column():
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table = gr.Dataframe(get_model_names('question_answering.csv'))
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demo.launch()
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with gr.Column():
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plot = gr.Plot(get_plots('image_generation.csv'))
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with gr.Column():
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table = gr.Dataframe(get_model_names('image_generation.csv'), datatype="markdown")
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with gr.TabItem("Text Classification 🎭"):
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with gr.Row():
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with gr.Column():
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plot = gr.Plot(get_plots('text_classification.csv'))
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with gr.Column():
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table = gr.Dataframe(get_model_names('text_classification.csv'), datatype="markdown")
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with gr.TabItem("Image Classification 🖼️"):
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with gr.Row():
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with gr.Column():
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plot = gr.Plot(get_plots('image_classification.csv'), datatype="markdown")
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with gr.Column():
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table = gr.Dataframe(get_model_names('image_classification.csv'), datatype="markdown")
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with gr.TabItem("Image Captioning 📝"):
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with gr.Row():
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with gr.Column():
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plot = gr.Plot(get_plots('question_answering.csv'))
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with gr.Column():
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table = gr.Dataframe(get_model_names('question_answering.csv'), datatype="markdown")
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with gr.TabItem("Summarization 📃"):
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with gr.Row():
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with gr.Column():
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plot = gr.Plot(get_plots('summarization.csv'))
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with gr.Column():
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table = gr.Dataframe(get_model_names('summarization.csv'), datatype="markdown")
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with gr.TabItem("Automatic Speech Recognition 💬 "):
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with gr.Row():
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with gr.Column():
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plot = gr.Plot(get_plots('asr.csv'))
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with gr.Column():
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table = gr.Dataframe(get_model_names('asr.csv'), datatype="markdown")
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with gr.TabItem("Object Detection 🚘"):
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with gr.Row():
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with gr.Column():
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plot = gr.Plot(get_plots('object_detection.csv'))
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with gr.Column():
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table = gr.Dataframe(get_model_names('object_detection.csv'), datatype="markdown")
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with gr.TabItem("Sentence Similarity 📚"):
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with gr.Row():
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with gr.Column():
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plot = gr.Plot(get_plots('sentence_similarity.csv'))
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with gr.Column():
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table = gr.Dataframe(get_model_names('sentence_similarity.csv'), datatype="markdown")
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with gr.TabItem("Extractive QA ❔"):
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with gr.Row():
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with gr.Column():
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plot = gr.Plot(get_plots('question_answering.csv'))
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with gr.Column():
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table = gr.Dataframe(get_model_names('question_answering.csv'), datatype="markdown")
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demo.launch()
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