Discord
Account
Edit Profile
My Plan
Logoutby we
SummarizeXpress: FastAPI LLM Text Summarization Endpoint
This video demonstrates how to use the SummarizeXpress: FastAPI LLM Text Summarization Endpoint template.
import logging
from fastapi import FastAPI, Request
from fastapi.responses import RedirectResponse, HTMLResponse
from fastapi.staticfiles import StaticFiles
from fastapi.templating import Jinja2Templates
from pydantic import BaseModel
from abilities import llm_prompt
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)
app = FastAPI()
app.mount("/static", StaticFiles(directory="static"), name="static")
templates = Jinja2Templates(directory="templates")
class SummarizeRequest(BaseModel):
text: str
@app.get("/", response_class=HTMLResponse)
async def root(request: Request):
return templates.TemplateResponse("index.html", {"request": request})
@app.post("/summarize")Frequently Asked Questions
How can SummarizeXpress benefit my business?
SummarizeXpress can significantly enhance your business's productivity by automating the process of text summarization. This tool is particularly useful for businesses that deal with large volumes of textual data, such as news agencies, research firms, or content marketing companies. By quickly generating concise summaries, SummarizeXpress helps your team save time, improve information processing, and make faster decisions based on key points from lengthy documents.
What industries can benefit most from implementing SummarizeXpress?
SummarizeXpress is versatile and can be valuable across various industries. Some key sectors that can benefit include: - Media and journalism: Quickly summarizing news articles or press releases - Legal: Condensing lengthy legal documents or case studies - Education: Summarizing research papers or textbook chapters - Marketing: Creating concise versions of market reports or customer feedback - Finance: Summarizing financial reports or analyst predictions
How customizable is SummarizeXpress for specific business needs?
SummarizeXpress is highly customizable to suit your specific business requirements. The core functionality is built using FastAPI, which allows for easy integration and modification. You can adjust the summarization parameters, such as the maximum word count or the focus of the summary, by modifying the prompt in the summarize function. Additionally, you can extend the functionality to include features like multi-language support or integration with your existing systems.
How can I modify SummarizeXpress to use a different LLM model?
To use a different LLM model with SummarizeXpress, you'll need to modify the llm_prompt function in the abilities.py file. Here's an example of how you might change it to use a different model:
```python from transformers import pipeline
def llm_prompt(prompt, image_url=None, response_type="text", model="facebook/bart-large-cnn", temperature=0.7): summarizer = pipeline("summarization", model=model) summary = summarizer(prompt, max_length=200, min_length=50, do_sample=False) return summary[0]['summary_text'] ```
In this example, we're using the Hugging Face Transformers library to load a BART model for summarization. Remember to add the necessary dependencies to your requirements.txt file.
Can I extend SummarizeXpress to handle batch processing of multiple documents?
Absolutely! You can extend SummarizeXpress to handle batch processing by modifying the FastAPI endpoint and the frontend. Here's an example of how you might modify the /summarize endpoint to accept multiple texts:
```python from typing import List
class BatchSummarizeRequest(BaseModel): texts: List[str]
@app.post("/batch-summarize") async def batch_summarize(request: BatchSummarizeRequest): summaries = [] for text in request.texts: prompt = f"Summarize the following text in under 200 words:\n\n{text}" summary = llm_prompt(prompt=prompt, image_url=None, response_type="text", model="gpt-4o", temperature=0.7) summaries.append(summary) return {"summaries": summaries} ```
You would also need to update the frontend to allow users to input multiple texts and display multiple summaries. This enhancement can significantly boost the efficiency of SummarizeXpress for businesses dealing with large volumes of documents.
To learn more about SummarizeXpress and its pricing, please contact <@1205039741754671147>.
Created: | Last Updated:
Here's a step-by-step guide for using the SummarizeXpress FastAPI LLM Text Summarization Endpoint template:
Introduction
The SummarizeXpress template provides a FastAPI endpoint for text summarization using an LLM prompt, integrated with a user-friendly web interface. This template allows you to quickly set up a text summarization service that can be accessed through a web browser or API calls.
Getting Started
- Click "Start with this Template" to begin using the SummarizeXpress template in the Lazy Builder interface.
Test the Application
-
Press the "Test" button in the Lazy Builder interface to deploy and launch the application.
-
Once the deployment is complete, you will be provided with two important links through the Lazy CLI:
- A server link to access the web interface
- A docs link to access the FastAPI documentation (typically
<server-link>/docs)
Using the Web Interface
-
Open the provided server link in your web browser to access the text summarization interface.
-
You'll see a simple web page with the following elements:
- A text area to input the text you want to summarize
- A "Summarize" button to initiate the summarization process
-
A section to display the generated summary
-
To use the summarizer:
- Paste or type the text you want to summarize into the text area
- Click the "Summarize" button
- Wait for the summary to appear in the designated area below the button
Using the API
If you prefer to integrate the summarization functionality into your own application, you can use the API directly:
-
Access the FastAPI documentation by opening the docs link provided (typically
<server-link>/docs). -
In the documentation, you'll find the
/summarizeendpoint, which accepts POST requests. -
To use the API programmatically, send a POST request to the
/summarizeendpoint with the following structure:
json
{
"text": "Your long text to be summarized goes here..."
}
- The API will respond with a JSON object containing the summary:
json
{
"summary": "The generated summary of your text will appear here..."
}
Integrating the App
To integrate this summarization service into your own application or website, you can use the provided API endpoint. Here's a simple example using JavaScript fetch:
```javascript
async function summarizeText(text) {
const response = await fetch('
const data = await response.json(); return data.summary; }
// Usage const longText = "Your long text here..."; summarizeText(longText) .then(summary => console.log(summary)) .catch(error => console.error('Error:', error)); ```
Replace <your-server-link> with the actual server link provided by the Lazy CLI.
By following these steps, you can easily set up and use the SummarizeXpress template for text summarization in your projects.
Template Benefits
-
Rapid Prototyping: This template provides a ready-to-use solution for text summarization, allowing businesses to quickly prototype and deploy an AI-powered summarization service without extensive development time.
-
Improved Productivity: By offering automatic text summarization, this tool can help employees quickly digest large volumes of text, saving time and increasing productivity across various departments such as research, content creation, and customer support.
-
Enhanced Customer Experience: Businesses can integrate this summarization feature into their products or services, providing customers with quick, concise summaries of lengthy documents, articles, or reports, thus improving user engagement and satisfaction.
-
Scalable Architecture: Built on FastAPI, this template offers a high-performance, easily scalable solution that can handle increasing loads as the business grows, ensuring long-term viability and cost-effectiveness.
-
Customizable AI Integration: The template demonstrates how to integrate advanced AI capabilities (like GPT-4) into a web application, serving as a foundation for businesses to build more complex AI-driven solutions tailored to their specific needs.
<@1205039741754671147>
Technologies
Streamline CSS Development with Lazy AI: Automate Styling, Optimize Workflows and More
Enhance HTML Development with Lazy AI: Automate Templates, Optimize Workflows and More
