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Update app.py
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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")
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@@ -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
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except wikipedia.exceptions.PageError:
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# If the page doesn't exist, create it
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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
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def
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# Example topic to contribute to
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topic = "Quantum Entanglement"
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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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-
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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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# 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()
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