leadingbridge commited on
Commit
1ff1946
·
1 Parent(s): 11504db

Update app.py

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Files changed (1) hide show
  1. app.py +3 -3
app.py CHANGED
@@ -96,21 +96,21 @@ with gr.Blocks() as demo:
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  submit = gr.Button("Send")
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  submit.click(chatgpt_clone, inputs=[message, state], outputs=[chatbot, state])
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  with gr.Tab("🤗Sentiment Analysis"):
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- gr.Markdown("""<h3><center>🤗Sentiment Analysis</center></h3>""")
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  gr.Markdown("This is a self-trained fine-tuned model using Chinese BERT for sentiment analysis. Enter a sentence in Chinese in the input box and click the 'proceed' button to get the sentiment analysis result.")
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  inputs = gr.Textbox(placeholder="Type a Chinese sentence here, either positive or negative in sentiment.")
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  outputs = gr.Textbox(label="Sentiment Analysis")
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  proceed_button = gr.Button("Proceed")
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  proceed_button.click(fn=sentiment_analysis, inputs=inputs, outputs=outputs)
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  with gr.Tab("🀄Chinese Translation"):
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- gr.Markdown("""<h3><center>🀄Chinese Translation</center></h3>""")
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  gr.Markdown("🀄This model translate an English sentence to Chinese using the OpenAI engine. Enter an English short sentence in the input box and click the 'Translate' button to get the translation result in Chinese.")
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  inputs = gr.Textbox(placeholder="Enter a short English sentence to translate to Chinese here.")
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  outputs = gr.Textbox(label="Translation Result")
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  proceed_button = gr.Button("Translate")
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  proceed_button.click(fn=openai_translation_ec, inputs=inputs, outputs=outputs)
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  with gr.Tab("🔤English Translation"):
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- gr.Markdown("""<h3><center>🔤English Translation</center></h3>""")
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  gr.Markdown("🔤This model translate a Chinese sentence to English using the OpenAI engine. Enter a Chinese short sentence in the input box and click the 'Translate' button to get the translation result in English.")
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  inputs = gr.Textbox(placeholder="Enter a short Chinese sentence to translate to English here.")
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  outputs = gr.Textbox(label="Translation Result")
 
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  submit = gr.Button("Send")
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  submit.click(chatgpt_clone, inputs=[message, state], outputs=[chatbot, state])
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  with gr.Tab("🤗Sentiment Analysis"):
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+ gr.Markdown("""<h4><center>🤗Sentiment Analysis</center></h4>""")
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  gr.Markdown("This is a self-trained fine-tuned model using Chinese BERT for sentiment analysis. Enter a sentence in Chinese in the input box and click the 'proceed' button to get the sentiment analysis result.")
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  inputs = gr.Textbox(placeholder="Type a Chinese sentence here, either positive or negative in sentiment.")
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  outputs = gr.Textbox(label="Sentiment Analysis")
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  proceed_button = gr.Button("Proceed")
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  proceed_button.click(fn=sentiment_analysis, inputs=inputs, outputs=outputs)
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  with gr.Tab("🀄Chinese Translation"):
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+ gr.Markdown("""<h4><center>🀄Chinese Translation</center></h4>""")
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  gr.Markdown("🀄This model translate an English sentence to Chinese using the OpenAI engine. Enter an English short sentence in the input box and click the 'Translate' button to get the translation result in Chinese.")
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  inputs = gr.Textbox(placeholder="Enter a short English sentence to translate to Chinese here.")
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  outputs = gr.Textbox(label="Translation Result")
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  proceed_button = gr.Button("Translate")
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  proceed_button.click(fn=openai_translation_ec, inputs=inputs, outputs=outputs)
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  with gr.Tab("🔤English Translation"):
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+ gr.Markdown("""<h4><center>🔤English Translation</center></h4>""")
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  gr.Markdown("🔤This model translate a Chinese sentence to English using the OpenAI engine. Enter a Chinese short sentence in the input box and click the 'Translate' button to get the translation result in English.")
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  inputs = gr.Textbox(placeholder="Enter a short Chinese sentence to translate to English here.")
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  outputs = gr.Textbox(label="Translation Result")