Scrape & Summarize Webpage using Gemini AI

What are some potential business applications for this Webpage Summarizer template?

The Webpage Summarizer template has several valuable business applications: - Content curation: Quickly summarize articles or blog posts for content marketers. - Competitive analysis: Summarize competitors' web pages to extract key information efficiently. - Research and development: Quickly digest technical papers or industry reports. - Customer support: Summarize product documentation or FAQs to assist support teams in providing quick answers. - Sales and marketing: Create concise overviews of lengthy product descriptions or case studies.

How can this template improve productivity in a business setting?

The Webpage Summarizer template can significantly boost productivity by: - Saving time: Users can quickly grasp the main points of a webpage without reading the entire content. - Enhancing decision-making: Executives can get summaries of multiple reports or articles to make informed decisions faster. - Streamlining research: Teams can efficiently process large amounts of web content for market research or competitive analysis. - Improving information retention: Concise summaries are easier to remember and share with colleagues. - Facilitating multilingual understanding: When combined with translation services, it can help international teams quickly understand content in foreign languages.

What industries could benefit most from implementing this Webpage Summarizer?

Several industries could greatly benefit from the Webpage Summarizer template: - Media and journalism: Quickly summarize news articles and press releases. - Legal: Summarize case law, regulations, and lengthy legal documents. - Education: Help students and researchers quickly grasp key concepts from academic papers. - Finance: Summarize market reports, financial statements, and economic analyses. - Healthcare: Digest medical research papers and clinical trial results efficiently. - Technology: Keep up with rapidly changing tech news and product announcements.

How can I modify the Webpage Summarizer template to handle longer texts or multiple URLs?

To handle longer texts or multiple URLs, you can modify the summarize function in the routes.py file. Here's an example of how you might adapt it:

```python @routes.route('/summarize', methods=['POST']) def summarize(): urls = request.form.getlist("urls[]") # Accept multiple URLs selenium_util = SeleniumUtility() summaries = []

   for url in urls:
       page_text = selenium_util.get_page_text(url)
       logging.info(f"Page text retrieved for {url}")

       # Split long text into chunks if necessary
       chunks = [page_text[i:i+4000] for i in range(0, len(page_text), 4000)]

       chunk_summaries = []
       for chunk in chunks:
           prompt = f"Summarize the following webpage content in a concise paragraph:\n\n{chunk}"
           response = llm(prompt=prompt, response_schema={"type": "object", "properties": {"summary": {"type": "string"}}}, model="gemini-1.5-pro", temperature=0.7)
           chunk_summaries.append(response['summary'])

       full_summary = " ".join(chunk_summaries)
       summaries.append({"url": url, "summary": full_summary})

   return jsonify({"summaries": summaries})

```

This modification allows the Webpage Summarizer to accept multiple URLs and handle longer texts by chunking them if necessary.

Can the Webpage Summarizer template be integrated with a database to store summaries for future reference?

Yes, the Webpage Summarizer template can be easily integrated with a database to store summaries. You can modify the summarize function in routes.py and add a new model in database.py. Here's an example:

In database.py, add a new model:

python class Summary(db.Model): id = db.Column(db.Integer, primary_key=True) url = db.Column(db.String(255), unique=True, nullable=False) summary = db.Column(db.Text, nullable=False) created_at = db.Column(db.DateTime, default=db.func.current_timestamp())

Then in routes.py, modify the summarize function:

```python from database import db, Summary

@routes.route('/summarize', methods=['POST']) def summarize(): url = request.form.get("url")

   # Check if summary already exists in database
   existing_summary = Summary.query.filter_by(url=url).first()
   if existing_summary:
       return jsonify({"summary": existing_summary.summary})

   selenium_util = SeleniumUtility()
   page_text = selenium_util.get_page_text(url)
   logging.info(f"Page text retrieved for {url}")
   prompt = f"Summarize the following webpage content in a concise paragraph:\n\n{page_text}"
   logging.info("Sending prompt to LLM for summarization")
   response = llm(prompt=prompt, response_schema={"type": "object", "properties": {"summary": {"type": "string"}}}, model="gemini-1.5-pro", temperature=0.7)

   # Store the new summary in the database
   new_summary = Summary(url=url, summary=response['summary'])
   db.session.add(new_summary)
   db.session.commit()

   return jsonify(response)

```

This modification allows the Webpage Summarizer to store summaries in the database and retrieve them if the same URL is requested again, improving efficiency and reducing API calls to the LLM.