broadfield-dev commited on
Commit
3ee1061
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1 Parent(s): f5b74a2

Update app.py

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Files changed (1) hide show
  1. app.py +21 -14
app.py CHANGED
@@ -3,6 +3,7 @@ from transformers import pipeline
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  import requests
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  from bs4 import BeautifulSoup
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  import re
 
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  # Initialize NLP model for understanding and generating text
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  nlp = pipeline("question-answering")
@@ -20,20 +21,16 @@ def check_and_update_wikipedia(title, new_content):
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  # Check if the page exists
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  page = wikipedia.page(title)
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  # Here, you would compare new_content with existing content
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- # and decide if an update is necessary. For simplicity, we'll just print.
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- print(f"Content for {title} exists. Comparing:\n{new_content[:100]}...")
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  except wikipedia.exceptions.PageError:
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- # If the page doesn't exist, create it
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- wikipedia.create(title, new_content)
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- print(f"Created new page for {title}.")
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  except wikipedia.exceptions.DisambiguationError as e:
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- # If there's ambiguity, handle it (for simplicity, we just print)
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- print(f"Disambiguation needed: {e.options}")
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- def main():
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- # Example topic to contribute to
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- topic = "Quantum Entanglement"
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-
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  # Fetch and summarize content from an external source (e.g., arxiv.org)
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  external_content = fetch_and_summarize(f"https://arxiv.org/search/?query={topic}&searchtype=all")
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@@ -41,7 +38,17 @@ def main():
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  enhanced_content = f"Enhanced content on {topic}: {external_content}"
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  # Check if Wikipedia needs updating or if we're creating a new entry
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- check_and_update_wikipedia(topic, enhanced_content)
 
 
 
 
 
 
 
 
 
 
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- if __name__ == "__main__":
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- main()
 
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  import requests
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  from bs4 import BeautifulSoup
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  import re
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+ import gradio as gr
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  # Initialize NLP model for understanding and generating text
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  nlp = pipeline("question-answering")
 
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  # Check if the page exists
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  page = wikipedia.page(title)
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  # Here, you would compare new_content with existing content
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+ # and decide if an update is necessary. For simplicity, we'll just return feedback.
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+ return f"Content for {title} exists. Comparison:\n{new_content[:100]}..."
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  except wikipedia.exceptions.PageError:
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+ # If the page doesn't exist, you could create it, but here we'll just inform
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+ return f"No page exists for {title}. New content could be:\n{new_content[:100]}..."
 
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  except wikipedia.exceptions.DisambiguationError as e:
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+ # If there's ambiguity, handle it (for simplicity, we just return feedback)
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+ return f"Disambiguation needed for {title}. Options: {e.options}"
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+ def wiki_contributor(topic):
 
 
 
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  # Fetch and summarize content from an external source (e.g., arxiv.org)
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  external_content = fetch_and_summarize(f"https://arxiv.org/search/?query={topic}&searchtype=all")
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  enhanced_content = f"Enhanced content on {topic}: {external_content}"
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  # Check if Wikipedia needs updating or if we're creating a new entry
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+ feedback = check_and_update_wikipedia(topic, enhanced_content)
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+ return feedback
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+
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+ # Gradio Interface
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+ iface = gr.Interface(
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+ fn=wiki_contributor,
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+ inputs=gr.Textbox(lines=1, placeholder="Enter topic here..."),
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+ outputs="text",
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+ title="AI Wikipedia Contributor",
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+ description="Enter a topic to get feedback on how an AI could contribute to Wikipedia.",
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+ )
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+ # Launch the interface
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+ iface.launch()