Jipski commited on
Commit
f63d876
1 Parent(s): a848d64

Update app.py

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Files changed (1) hide show
  1. app.py +3 -3
app.py CHANGED
@@ -29,7 +29,7 @@ default_value = "Jetzt tippen!"
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  #prompts
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  st.title("Flos gpt-2")
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  #st.write("The almighty king of text generation, GPT-2 comes in four available sizes, only three of which have been publicly made available. Feared for its fake news generation capabilities, it currently stands as the most syntactically coherent model. A direct successor to the original GPT, it reinforces the already established pre-training/fine-tuning killer duo. From the paper: Language Models are Unsupervised Multitask Learners by Alec Radford, Jeffrey Wu, Rewon Child, David Luan, Dario Amodei and Ilya Sutskever.")
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- sent = st.text_area("Text", key='showing', height = 275)
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  max_length = st.sidebar.slider("Max Length", min_value = 10, max_value=30)
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  temperature = st.sidebar.slider("Temperature", value = 1.0, min_value = 0.0, max_value=1.0, step=0.05)
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  top_k = st.sidebar.slider("Top-k", min_value = 0, max_value=5, value = 0)
@@ -58,8 +58,8 @@ for generated_sequence_idx, generated_sequence in enumerate(output_sequences):
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  print(total_sequence)
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-
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- st.text_area("Output", generated_sequences[-1], key='gen', height=275, on_change=update_showing)
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  #st.session_state.catch_rand = generated_sequences[-1]
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  #st.write(st.session_state.catch_rand)
 
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  #prompts
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  st.title("Flos gpt-2")
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  #st.write("The almighty king of text generation, GPT-2 comes in four available sizes, only three of which have been publicly made available. Feared for its fake news generation capabilities, it currently stands as the most syntactically coherent model. A direct successor to the original GPT, it reinforces the already established pre-training/fine-tuning killer duo. From the paper: Language Models are Unsupervised Multitask Learners by Alec Radford, Jeffrey Wu, Rewon Child, David Luan, Dario Amodei and Ilya Sutskever.")
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+ sent = st.text_area("Text", default_value, key='showing', height = 275)
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  max_length = st.sidebar.slider("Max Length", min_value = 10, max_value=30)
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  temperature = st.sidebar.slider("Temperature", value = 1.0, min_value = 0.0, max_value=1.0, step=0.05)
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  top_k = st.sidebar.slider("Top-k", min_value = 0, max_value=5, value = 0)
 
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  print(total_sequence)
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+ st.write(generated_sequences[-1]
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+ #st.text_area("Output", generated_sequences[-1], key='gen', height=275, on_change=update_showing)
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  #st.session_state.catch_rand = generated_sequences[-1]
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  #st.write(st.session_state.catch_rand)