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Update app.py
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app.py
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@@ -96,6 +96,11 @@ def translate_en_to_uk(text):
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# Return processing error as string
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return f"Processing Error: {str(e)[:100]}"
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# Create Gradio blocks interface with a soft theme
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with gr.Blocks(title="NLP Toolkit", theme=gr.themes.Soft()) as demo:
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# Add main header
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@@ -108,63 +113,68 @@ with gr.Blocks(title="NLP Toolkit", theme=gr.themes.Soft()) as demo:
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with gr.Tabs():
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# Create Sentiment Analysis tab
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with gr.Tab("Sentiment Analysis"):
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# Create Summarization tab
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with gr.Tab("Summarization"):
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# Create Translation tab
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with gr.Tab("Translation (EN -> UK)"):
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if __name__ == "__main__":
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# Launch application with active debug mode
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# Return processing error as string
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return f"Processing Error: {str(e)[:100]}"
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# Define long text samples for the summarization tab
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ai_sample = "Artificial intelligence (AI) has become a transformative force in modern society, influencing everything from healthcare to transportation. In the medical field, AI algorithms can analyze complex data to assist doctors in diagnosing diseases more accurately and quickly. For instance, machine learning models are trained on thousands of medical images to detect early signs of conditions like cancer. Meanwhile, in transportation, autonomous vehicles use AI to navigate roads, avoid obstacles, and reduce the likelihood of accidents caused by human error."
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space_sample = "The James Webb Space Telescope (JWST) is the largest and most powerful space science telescope ever built. Launched on December 25, 2021, it represents a major leap forward in our quest to understand the universe. Unlike its predecessor, the Hubble Space Telescope, which primarily observes visible light, the JWST is designed to detect infrared radiation. This capability allows it to peer through dense clouds of cosmic dust and observe the very first galaxies that formed after the Big Bang."
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climate_sample = "Climate change is a long-term shift in global or regional climate patterns. Often climate change refers specifically to the rise in global temperatures from the mid-20th century to present. It is primarily caused by human activities, especially the burning of fossil fuels, which increases levels of heat-trapping greenhouse gases in Earth's atmosphere. The impacts are already being felt globally, including more frequent and severe weather events, rising sea levels, and shifts in wildlife populations."
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# Create Gradio blocks interface with a soft theme
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with gr.Blocks(title="NLP Toolkit", theme=gr.themes.Soft()) as demo:
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# Add main header
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with gr.Tabs():
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# Create Sentiment Analysis tab
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with gr.Tab("Sentiment Analysis"):
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with gr.Column():
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input_text = gr.Textbox(label="Input Text", lines=3, placeholder="Type something in English... (e.g., I absolutely love this product!)")
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output_label = gr.Label(label="Analysis Result")
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btn_sentiment = gr.Button("Analyze Sentiment", variant='primary')
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# Link button click to sentiment analysis function
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btn_sentiment.click(fn=analyze_sentiment, inputs=input_text, outputs=output_label)
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# Configure native examples for short texts
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gr.Examples(
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examples=[
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["I absolutely love this new update! It's fantastic."],
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["I'm very disappointed with the service, it was terrible."],
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["The weather today is completely ordinary."]
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],
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inputs=input_text,
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cache_examples=False
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)
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# Create Summarization tab
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with gr.Tab("Summarization"):
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with gr.Column():
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input_long = gr.Textbox(label="Long Text (EN)", lines=6, placeholder="Paste a long English article to summarize here...")
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output_summary = gr.Textbox(label="Short Summary", lines=3)
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btn_summarize = gr.Button("Generate Summary", variant="primary")
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# Link button click to summarization function
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btn_summarize.click(fn=summarize_text, inputs=input_long, outputs=output_summary)
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# Add examples section header
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gr.Markdown("### π Click an example button below to load text:")
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with gr.Row():
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sum_ex1 = gr.Button("π‘ AI Force")
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sum_ex2 = gr.Button("π Space Telescope")
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sum_ex3 = gr.Button("π Climate Change")
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# Link custom buttons to load the long texts into the input field
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sum_ex1.click(fn=lambda: ai_sample, outputs=input_long)
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sum_ex2.click(fn=lambda: space_sample, outputs=input_long)
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sum_ex3.click(fn=lambda: climate_sample, outputs=input_long)
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# Create Translation tab
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with gr.Tab("Translation (EN -> UK)"):
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with gr.Column():
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input_trans = gr.Textbox(label="English Text", lines=4, placeholder="Enter text in English to translate into Ukrainian...")
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output_trans = gr.Textbox(label="Ukrainian Translation", lines=4)
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btn_translate = gr.Button("Translate to Ukrainian", variant="primary")
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# Link button click to translation function
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btn_translate.click(fn=translate_en_to_uk, inputs=input_trans, outputs=output_trans)
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# Add examples section header
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gr.Markdown("### π Click an example button below to load text:")
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with gr.Row():
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trans_ex1 = gr.Button("π€ AI Future")
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trans_ex2 = gr.Button("β Coffee Order")
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trans_ex3 = gr.Button("π Testing Phase")
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# Link custom buttons to load sentences into the correct translation field
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trans_ex1.click(fn=lambda: "Artificial intelligence is rapidly changing the world.", outputs=input_trans)
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trans_ex2.click(fn=lambda: "I would like to order a cup of coffee, please.", outputs=input_trans)
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trans_ex3.click(fn=lambda: "The results of the recent testing phase exceeded all our initial expectations.", outputs=input_trans)
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if __name__ == "__main__":
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# Launch application with active debug mode
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