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8151f8b
1
Parent(s):
c14ef23
Update app.py
Browse files
app.py
CHANGED
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@@ -49,7 +49,7 @@ def chatgpt_clone(input, history):
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return history, history
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# Open AI Translation Model
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def translate_to_chinese(text_to_translate):
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response = openai.Completion.create(
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model="text-davinci-003",
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@@ -62,6 +62,20 @@ def translate_to_chinese(text_to_translate):
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)
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return response.choices[0].text.strip()
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# Gradio Output Model
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with gr.Blocks() as demo:
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@@ -72,17 +86,21 @@ with gr.Blocks() as demo:
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state = gr.State()
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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("Translation to Chinese"):
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inputs = gr.Textbox(placeholder="Enter an 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=translate_to_chinese, inputs=inputs, outputs=outputs)
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with gr.Tab("Sentiment Analysis"):
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inputs = gr.Textbox(placeholder="Enter a Chinese positive or negative sentence here")
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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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return history, history
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# Open AI Chinese Translation Model
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def translate_to_chinese(text_to_translate):
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response = openai.Completion.create(
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model="text-davinci-003",
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)
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return response.choices[0].text.strip()
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# Open AI English Translation Model
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def translate_to_english(text_to_translate):
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response = openai.Completion.create(
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model="text-davinci-003",
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prompt=f"Translate this short sentence into English:\n\n{text_to_translate}\n\n1.",
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temperature=0.3,
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max_tokens=1024,
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top_p=1.0,
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frequency_penalty=0.0,
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presence_penalty=0.0
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)
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return response.choices[0].text.strip()
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# Gradio Output Model
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with gr.Blocks() as demo:
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state = gr.State()
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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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inputs = gr.Textbox(placeholder="Enter a Chinese positive or negative sentence here")
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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("Translation to 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=translate_to_chinese, inputs=inputs, outputs=outputs)
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with gr.Tab("Translation to English"):
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inputs = gr.Textbox(placeholder="Enter a Short sentence to translate to English 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=translate_to_chinese, inputs=inputs, outputs=outputs)
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