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Update app.py
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app.py
CHANGED
@@ -215,9 +215,9 @@ interface2 = gr.Interface(fn=create_response_untethered,
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description="untethered fine tuning",
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examples=[
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["What is death?",5,0.2,1.5,0.9,True], # The first example
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["One of the best teachers in all of life turns out to be what?",5,0.2,1.5,0.9,True], # The second example
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["what is your most meaningful relationship?",5,0.2,1.5,0.9,True], # The third example
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["What actually gives life meaning?",5,0.2,1.5,0.9,True]
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],
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inputs=[
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gr.Textbox(label="input text here", lines=3),
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@@ -248,7 +248,7 @@ interface2 = gr.Interface(fn=create_response_untethered,
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"If is set to True, the generate function will use stochastic sampling, which means that it will randomly" +
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" select a word from the probability distribution at each step. This results in a more diverse and creative" +
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" output, but it might also introduce errors and inconsistencies ", value=True),
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gr.Textbox(label="model", lines=3, value="untethered_model_name")
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#,visible=False
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], outputs=[gr.Textbox(label="output response", lines=30)])
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description="untethered fine tuning",
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examples=[
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["What is death?",5,0.2,1.5,0.9,True], # The first example
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["One of the best teachers in all of life turns out to be what?",5,0.2,1.5,0.9,True,"untethered_model_name"], # The second example
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["what is your most meaningful relationship?",5,0.2,1.5,0.9,True,"untethered_model_name"], # The third example
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["What actually gives life meaning?",5,0.2,1.5,0.9,True,"untethered_model_name"]
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],
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inputs=[
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gr.Textbox(label="input text here", lines=3),
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"If is set to True, the generate function will use stochastic sampling, which means that it will randomly" +
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" select a word from the probability distribution at each step. This results in a more diverse and creative" +
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" output, but it might also introduce errors and inconsistencies ", value=True),
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gr.Textbox(label="model", lines=3, value="untethered_model_name",visible=False)
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#,visible=False
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], outputs=[gr.Textbox(label="output response", lines=30)])
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