Falconsai-medical Summarization-new - AI Productivity Tool

Overview

Falconsai-medical Summarization-new is a Hugging Face Space demo created by kiranbeethoju that provides a web-based medical text summarization utility. The demo is intended to automatically produce concise summaries from medical documents or free-form clinical text, helping users extract key findings from notes, literature excerpts, discharge summaries, and other healthcare-related content. As a Space (interactive demo) it is primarily useful for prototyping, evaluation, and lightweight day-to-day summarization tasks rather than as a production-grade clinical system. The Space page for this project lists the demo and description but does not publish model architecture, training data, or quantitative evaluation metrics on the page. According to the Space listing, the project is publicly accessible for interactive use and testing on Hugging Face (kiranbeethoju/Falconsai-medical_summarization-new) and appears to be a community demo rather than a commercial product (Hugging Face Space page). Users should treat outputs as assistive and validate clinically sensitive content before use in decision making.

Model Statistics

• Likes: 1

Model Details

This Hugging Face Space is a demo interface; the underlying model architecture, exact weights, training dataset, and parameter count are not published on the Space page. The author name on the Space is kiranbeethoju and the project name suggests use of a "Falcon"-family model for summarization, but the Space does not explicitly disclose which model variant, tokenizer, or fine-tuning procedure is used. The Space is delivered as an interactive web app (typical Spaces use Gradio or Streamlit). Functionally it accepts medical text input and returns a concise textual summary. Because implementation details are not provided on the Space listing, users who require detailed technical specifications, provenance of training data, or evaluation against medical summarization benchmarks (ROUGE, BLEU, clinical QA) will need to contact the author or inspect the Space repo files directly. The demo appears suitable for prototyping workflows such as triage of clinical notes, literature summarization, or extracting discharge-relevant information, but it does not include published model-level safety filters, audit logs, or clinical validation data on the Space page.

Key Features

• Web-based Hugging Face Space demo for medical text summarization
• Accepts free-form clinical or medical text and returns concise summaries
• Designed for prototyping workflows like notes triage and literature review
• Public interactive demo by kiranbeethoju; suitable for quick manual testing
• Underlying model architecture and training data are not published on the Space

Example Usage

Example (python):

from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.common.keys import Keys
import time

# Example: automate the Hugging Face Space web UI to submit text and read the summary.
# Note: element ids/classes on the Space page may change; inspect the page and update selectors.

SPACE_URL = "https://huggingface.co/spaces/kiranbeethoju/Falconsai-medical_summarization-new"

# Start a browser (requires chromedriver/geckodriver installed and on PATH)
driver = webdriver.Chrome()
try:
    driver.get(SPACE_URL)
    time.sleep(2)  # wait for the page/app to load; increase if needed

    # Locate the main text input area. Replace the selector with the actual one from the page.
    # Common Gradio textarea selector pattern: textarea or div[role='textbox']
    input_el = driver.find_element(By.CSS_SELECTOR, "textarea")

    # Example medical text to summarize
    medical_text = (
        "Patient is a 62-year-old male with history of hypertension and COPD presenting with"
        " acute shortness of breath. Vitals stable. Chest x-ray shows right lower lobe consolidation."
        " Started on IV antibiotics and supplemental oxygen. Recommend pulmonology follow-up and"
        " repeat imaging in 48 hours."
    )

    # Enter the text
    input_el.clear()
    input_el.send_keys(medical_text)

    # Find and click the Summarize/Submit button; update selector to match the page
    submit_btn = driver.find_element(By.XPATH, "//button[contains(., 'Summarize') or contains(., 'Run')]")
    submit_btn.click()

    # Wait for results to appear; adjust timeout as needed
    time.sleep(5)

    # Locate the output element (may be a div or pre element)
    output_el = driver.find_element(By.CSS_SELECTOR, "div[class*='output'] , pre, .result")
    summary = output_el.text
    print("Summary:\n", summary)

finally:
    driver.quit()

Benchmarks

Hugging Face Space likes: 1 (Source: https://huggingface.co/spaces/kiranbeethoju/Falconsai-medical_summarization-new)

Hugging Face Space downloads: 0 (Source: https://huggingface.co/spaces/kiranbeethoju/Falconsai-medical_summarization-new)

Key Information

• Category: Productivity
• Type: AI Productivity Tool