| from transformers import pipeline | |
| summarizer = pipeline("summarization", model="facebook/bart-large-cnn") | |
| ARTICLE = """Parkinson’s disease (PD) is one of the long-term regressive disorders of the central nervous | |
| system that mainly affects the nervous system in humans due to which there is the recurrent | |
| occurrence of falls which might even lead to death or put them in a serious situation. For | |
| solving this issue, we have proposed an idea that detects patient fall and reports to the | |
| caretaker or family member utilizing message/call/Alarm thereby avoiding deaths. Our | |
| work focuses on developing and apply the wearable fall -detection system for Parkinson’s | |
| disease long -suffers formed on a Wi -Fi module. Patient falls were precisely traced on the | |
| outcome of an accelerometer, oximeter, and pressure sensors which were sent to the cloud | |
| via NodeMCU -ESP32. Furthermore, Node MCU ESP32 is planned for attaining smooth | |
| communicat ion between the fall detection device and the system for obtaining and | |
| processing the data anytime and anywhere until we have a Wi -Fi connection. In | |
| consequence, the cloud will perform the calculations based on SVM which is the Support | |
| Vector Machine. In t urn, it sends the fall detection outcomes to the MIT application. This | |
| WFDS turns out to be the best among the existing models in terms of fall detection | |
| sensitivity, specificity, and accuracy. The fall of direction in PD can be performed | |
| accurately based on the fall detection algorithm at the receiver end. The preliminary | |
| outcomes show that the wearable fall -detection system attains eighty -. eight percent | |
| accuracy in identifying the patient’s fall.""" | |
| def Summerized_Text(text): | |
| text = text.strip() | |
| a = summarizer(text, max_length=130, min_length=30, do_sample=False) | |
| return a[0]['summary_text'] | |