Update app.py
Browse files
app.py
CHANGED
@@ -6,6 +6,12 @@ from numpy import mean
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import pandas as pd
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import matplotlib.pyplot as plt
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# Load tokenizers and models
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tokenizer = AutoTokenizer.from_pretrained("suriya7/bart-finetuned-text-summarization")
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model = AutoModelForSeq2SeqLM.from_pretrained("suriya7/bart-finetuned-text-summarization")
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@@ -143,7 +149,7 @@ def plot_sentiments(sentiments):
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return 'sentiments_distribution.png'
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# Gradio interface
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with gr.Blocks() as demo:
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with gr.Tabs():
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with gr.TabItem("Upload and Filter"):
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with gr.Row():
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@@ -189,4 +195,4 @@ with gr.Blocks() as demo:
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clear_button_upload.click(lambda: (""), outputs=[keywords_input])
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clear_button_review.click(lambda: ("", "", "", "", ""), outputs=[review_input, review_rating, review_summary, review_keywords, review_sentiment])
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demo.launch(share=True)
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import pandas as pd
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import matplotlib.pyplot as plt
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theme = gr.themes.Soft(
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primary_hue="amber",
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secondary_hue="amber",
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neutral_hue="stone",
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)
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# Load tokenizers and models
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tokenizer = AutoTokenizer.from_pretrained("suriya7/bart-finetuned-text-summarization")
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model = AutoModelForSeq2SeqLM.from_pretrained("suriya7/bart-finetuned-text-summarization")
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return 'sentiments_distribution.png'
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# Gradio interface
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with gr.Blocks(theme=theme) as demo:
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with gr.Tabs():
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with gr.TabItem("Upload and Filter"):
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with gr.Row():
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clear_button_upload.click(lambda: (""), outputs=[keywords_input])
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clear_button_review.click(lambda: ("", "", "", "", ""), outputs=[review_input, review_rating, review_summary, review_keywords, review_sentiment])
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demo.launch(share=True)
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