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Update app.py
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app.py
CHANGED
@@ -21,7 +21,7 @@ ARTICLE_LIMIT = 5 # Limit to the last 5 articles
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# News sources
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NEWS_SOURCES = {
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-
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"TheNewYorkTimes": "https://rss.nytimes.com/services/xml/rss/nyt/Technology.xml",
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"reutersagency": "https://www.reutersagency.com/feed/?best-topics=tech&post_type=best"
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},
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@@ -118,8 +118,8 @@ def summarize_text(text):
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logging.error(f"Summarization failed: {e}")
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return "Summary unavailable."
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def summarize_articles(articles):
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"""Summarize the last 5 fetched articles."""
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summaries = []
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for article in articles:
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try:
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@@ -134,37 +134,42 @@ def summarize_articles(articles):
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summary = summarize_text(content)
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if summary:
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except Exception as e:
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logging.error(f"Error summarizing article: {e}")
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continue
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return summaries
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def
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"""Generate a
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try:
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with open(f"user_preferences/preferences_{name}.json") as f:
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preferences = json.load(f)
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except FileNotFoundError:
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return "Preferences not found. Please set your preferences first."
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except Exception as e:
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logging.error(f"Error loading preferences: {e}")
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return "Failed to load preferences."
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categories = preferences.get("interests", [])
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if not categories:
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return "No categories selected. Please update your preferences."
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@@ -174,7 +179,7 @@ def generate_user_summary(name):
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return "No recent news found in your selected categories."
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# Summarize all articles
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summaries = summarize_articles(articles)
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# Combine and return summaries
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return "\n\n".join(summaries) if summaries else "No summaries available."
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@@ -185,36 +190,21 @@ demo = gr.Blocks()
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with demo:
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gr.Markdown("# π° AI News Summarizer")
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with gr.
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name_input = gr.Textbox(label="Your Name")
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interests = gr.CheckboxGroup(
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choices=list(NEWS_SOURCES.keys()),
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label="Select Your Interests"
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)
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json.dump(preferences, f)
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return "Preferences saved successfully!"
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except Exception as e:
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logging.error(f"Failed to save preferences: {e}")
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return "Failed to save preferences."
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save_button.click(save_preferences, inputs=[name_input, interests], outputs=save_status)
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with gr.Tab("Get News Summary"):
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name_input_summary = gr.Textbox(label="Your Name")
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fetch_button = gr.Button("Get Summary")
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summary_output = gr.Textbox(label="News Summary", lines=20)
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fetch_button.click(generate_user_summary, inputs=[name_input_summary], outputs=summary_output)
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if __name__ == "__main__":
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demo.launch()
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# News sources
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NEWS_SOURCES = {
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"Technology": {
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"TheNewYorkTimes": "https://rss.nytimes.com/services/xml/rss/nyt/Technology.xml",
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"reutersagency": "https://www.reutersagency.com/feed/?best-topics=tech&post_type=best"
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},
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logging.error(f"Summarization failed: {e}")
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return "Summary unavailable."
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def summarize_articles(articles, template_choice):
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"""Summarize the last 5 fetched articles using the selected template."""
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summaries = []
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for article in articles:
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try:
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summary = summarize_text(content)
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if summary:
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if template_choice == "Default":
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summaries.append(f"""
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π° {title}
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- π Category: {category}
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- π‘ Source: {source}
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- β° Published: {published}
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π Summary:
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{summary}
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π Read the full article here ({link})
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---
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""")
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elif template_choice == "Free":
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summaries.append(f"""
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**{title}**
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*Category:* {category}
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*Source:* {source}
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*Published:* {published}
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*Summary:*
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{summary}
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*Link:* [{link}]({link})
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---
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""")
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except Exception as e:
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logging.error(f"Error summarizing article: {e}")
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continue
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return summaries
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def generate_summary(selected_interests, template_choice):
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"""Generate a news summary based on user preferences."""
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categories = selected_interests
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if not categories:
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return "No categories selected. Please update your preferences."
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return "No recent news found in your selected categories."
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# Summarize all articles
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summaries = summarize_articles(articles, template_choice)
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# Combine and return summaries
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return "\n\n".join(summaries) if summaries else "No summaries available."
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with demo:
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gr.Markdown("# π° AI News Summarizer")
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with gr.Row():
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interests = gr.CheckboxGroup(
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choices=list(NEWS_SOURCES.keys()),
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label="Select Your Interests"
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)
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template_choice = gr.Radio(
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choices=["Default", "Free"],
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label="Choose Summary Template",
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value="Default"
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)
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fetch_button = gr.Button("Get Summary")
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summary_output = gr.Textbox(label="News Summary", lines=20)
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fetch_button.click(generate_summary, inputs=[interests, template_choice], outputs=summary_output)
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if __name__ == "__main__":
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demo.launch()
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