PeterBrendan commited on
Commit
a6ca9f1
·
1 Parent(s): fb664e1

Update app.py

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Files changed (1) hide show
  1. app.py +2 -2
app.py CHANGED
@@ -11,7 +11,7 @@ def main():
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  st.session_state["generated_widget_id"] = None
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  st.title("Prebid Config Generator")
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- st.write("Enter a Prebid config setting, such as 'bidderTimeout', and get a generated Prebid config output starting from that setting onward. Using '{' will generate a Prebid config from the beginning. The model currently has a capped output of 760 characters.")
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  st.subheader("Intended Uses")
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  st.write("This model is designed to assist publishers in understanding and exploring how most and advanced publishers configure their Prebid settings. It can serve as a valuable reference to gain insights into common configurations, best practices, and different approaches used by publishers across various domains. The model should be seen as a helpful tool to gain inspiration and understanding of common Prebid settings but not as a substitute for thorough testing and manual review of the final configurations.")
@@ -48,7 +48,7 @@ def main():
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  st.write("Generating Output...")
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  # Generate text based on user input
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- generated_text = generator(user_input, max_length=760, num_return_sequences=1)[0]["generated_text"]
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  # Clear 'Generating Output' message and display the generated text
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  output_placeholder.empty()
 
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  st.session_state["generated_widget_id"] = None
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  st.title("Prebid Config Generator")
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+ st.write("Enter a Prebid config setting, such as 'bidderTimeout', and get a generated Prebid config output starting from that setting onward. Using '{' will generate a Prebid config from the beginning. The model currently has a capped output of 1000 characters.")
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  st.subheader("Intended Uses")
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  st.write("This model is designed to assist publishers in understanding and exploring how most and advanced publishers configure their Prebid settings. It can serve as a valuable reference to gain insights into common configurations, best practices, and different approaches used by publishers across various domains. The model should be seen as a helpful tool to gain inspiration and understanding of common Prebid settings but not as a substitute for thorough testing and manual review of the final configurations.")
 
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  st.write("Generating Output...")
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  # Generate text based on user input
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+ generated_text = generator(user_input, max_length=1000, num_return_sequences=1)[0]["generated_text"]
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  # Clear 'Generating Output' message and display the generated text
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  output_placeholder.empty()