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PDF Summarizer
This video demonstrates how to use the PDF Summarizer template.
from app_init import app
from routes import *
from gunicorn.app.base import BaseApplication
class StandaloneApplication(BaseApplication):
def __init__(self, app, options=None):
self.application = app
self.options = options or {}
super().__init__()
def load_config(self):
for key, value in self.options.items():
if key in self.cfg.settings and value is not None:
self.cfg.set(key.lower(), value)
def load(self):
return self.application
if __name__ == "__main__":
options = {
"bind": "0.0.0.0:8080",
"workers": 4,
"loglevel": "info",
"accesslog": "-",Frequently Asked Questions
Custom deployment with additional features for specific industries Q4: How can I modify the PDF analysis response schema to include custom fields?
You can customize the analysis output by modifying the response schema in the /analyze_pdf route. Here's an example:
python
response_schema = {
"type": "object",
"properties": {
"summary": {"type": "string"},
"key_insights": {
"type": "array",
"items": {
"type": "object",
"properties": {
"title": {"type": "string"},
"description": {"type": "string"},
"confidence_score": {"type": "number"}, # New field
"category": {"type": "string"} # New field
}
}
},
"recommendations": {"type": "array"}, # New field
"scientific_relevance": {"type": "string"}
}
}
Q5: How can I implement caching for frequently accessed PDF summaries? A: You can add caching to the PDF Summarizer template using Flask-Caching. Here's an implementation example:
```python from flask_caching import Cache
cache = Cache(app, config={'CACHE_TYPE': 'simple'})
@app.route("/analyze_pdf", methods=["POST"]) @cache.memoize(timeout=3600) # Cache for 1 hour def analyze_pdf(): file_id = request.json.get('file_id') cache_key = f"pdf_analysis_{file_id}"
# Check cache first
cached_result = cache.get(cache_key)
if cached_result:
return jsonify(cached_result)
# Proceed with analysis if not cached
result = perform_pdf_analysis(file_id)
cache.set(cache_key, result)
return jsonify(result)
```
This implementation will significantly improve performance for frequently accessed documents in the PDF Summarizer system.
Created: | Last Updated:
Here's a step-by-step guide for using the PDF Summarizer template:
Introduction
The PDF Summarizer template creates a web application that analyzes and summarizes PDF documents. It features a claymorphic design interface with PDF upload capabilities, text-to-speech functionality, and comprehensive document analysis including key insights, scientific relevance, and potential applications.
Getting Started
- Click "Start with this Template" to begin using the PDF Summarizer template
Test the Application
- Click the "Test" button to deploy the application
- Lazy will provide you with a server link to access the web interface
Using the Application
Home Page
- Navigate to the provided server link
- The home page introduces MTBI's diagnostic solutions and services
- Use the navigation menu to access different sections:
- Home
- Education
- AI Assistant
PDF Analysis Features
- Upload PDFs for analysis through either:
- The Education page
- The AI Assistant chat interface
- The application will provide:
- Document summary
- Key insights
- Scientific relevance
- Potential applications
- Text-to-speech functionality is available for all analysis sections
Chat Interface
- Access the AI Assistant through the navigation menu
- Ask questions about MTBI's diagnostic solutions
- Upload and analyze PDFs directly in the chat
- Receive real-time responses with text-to-speech capability
The application is ready to use immediately after deployment, with no additional setup or integration steps required. The interface is intuitive and designed for easy navigation and PDF analysis.
Template Benefits
- Enhanced Document Processing Efficiency
- Automatically analyzes and summarizes lengthy PDF documents
- Saves significant time for professionals who need to review multiple documents
-
Extracts key insights without manual reading of entire documents
-
Improved Knowledge Management
- Converts complex scientific/technical PDFs into structured, digestible summaries
- Maintains organized records of document analyses with key insights
-
Facilitates better information sharing across teams and departments
-
AI-Powered Scientific Analysis
- Provides intelligent analysis of scientific content and research papers
- Identifies potential applications and relevance to business operations
-
Offers scientific context and connections to existing knowledge
-
Accessible Information Sharing
- Features text-to-speech functionality for improved accessibility
- Presents information in a clear, structured format with visual hierarchy
-
Enables easy sharing of document insights across different platforms
-
Professional Documentation Interface
- Implements a modern, professional design system (Claymorphic)
- Offers responsive layout for various devices and screen sizes
- Includes interactive features for better user engagement and understanding
Technologies
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Optimize PDF Workflows with Lazy AI: Automate Document Creation, Editing, Extraction and More
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