jaifar530 commited on
Commit
d7b6034
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unverified ·
1 Parent(s): a7072d3

Update app.py

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Files changed (1) hide show
  1. app.py +6 -3
app.py CHANGED
@@ -94,7 +94,7 @@ if not os.path.exists('my_authorship_model'):
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  st.write(f"Failed to download or extract the model: {e}")
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  exit(1)
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  else:
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- st.write("Version: 0.99")
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  # Download the required files
@@ -386,7 +386,8 @@ st.subheader("Frequently Asked Questions (FAQ)")
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  with st.expander("What is this project about?"):
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  st.write("""
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  This project is part of an MSc in Data Analytics at the University of Portsmouth.
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- Developed by Jaifar Al Shizawi, it aims to identify whether a text is written by a human or a specific Large Language Model (LLM) like ChatGPT-3, ChatGPT-4, Google Bard, or HuggingChat.
 
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  For inquiries, contact [[email protected]](mailto:[email protected]).
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  Supervised by Dr. Mohamed Bader.
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  """)
@@ -394,7 +395,9 @@ with st.expander("What is this project about?"):
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  # Aim and Objectives
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  with st.expander("Aim and Objectives"):
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  st.write("""
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- The project aims to help staff at the University of Portsmouth distinguish between student-written artifacts and those generated by LLMs. It focuses on text feature extraction, model testing, and implementing a user-friendly dashboard among other objectives.
 
 
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  """)
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  # System Details
 
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  st.write(f"Failed to download or extract the model: {e}")
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  exit(1)
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  else:
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+ st.write("Version: 1.0")
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  # Download the required files
 
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  with st.expander("What is this project about?"):
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  st.write("""
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  This project is part of an MSc in Data Analytics at the University of Portsmouth.
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+ Developed by Jaifar Al Shizawi, it aims to identify whether a text is written by
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+ a human or a specific Large Language Model (LLM) like ChatGPT-3, ChatGPT-4, Google Bard, or HuggingChat.
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  For inquiries, contact [[email protected]](mailto:[email protected]).
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  Supervised by Dr. Mohamed Bader.
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  """)
 
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  # Aim and Objectives
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  with st.expander("Aim and Objectives"):
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  st.write("""
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+ The project aims to help staff at the University of Portsmouth distinguish between
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+ student-written artifacts and those generated by LLMs. It focuses on text feature extraction, model testing,
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+ and implementing a user-friendly dashboard among other objectives.
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  """)
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  # System Details