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Update app.py
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app.py
CHANGED
@@ -71,7 +71,7 @@ def create_response_untethered(input_str,
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do_sample,
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model_name):
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print("input_str="+input_str)
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-
print("model_name="+model_name)
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# num_beams = int(num_beams)
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# print("num_beams=" + str(num_beams))
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num_return_sequences=int(num_return_sequences)
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@@ -248,7 +248,8 @@ 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(value="untethered_model_name"
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], outputs=[gr.Textbox(label="output response", lines=30)])
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interface3 = gr.Interface(fn=create_response_untethered_paraphrased,
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do_sample,
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model_name):
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print("input_str="+input_str)
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+
print("model_name="+str(model_name))
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# num_beams = int(num_beams)
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# print("num_beams=" + str(num_beams))
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num_return_sequences=int(num_return_sequences)
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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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interface3 = gr.Interface(fn=create_response_untethered_paraphrased,
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