jharrison27's picture
Upload 3 files
history blame contribute delete
No virus
4.23 kB
from transformers import pipeline
import gradio as gr
asr = pipeline("automatic-speech-recognition", "facebook/wav2vec2-base-960h")
classifier = pipeline("text-classification", "michellejieli/emotion_text_classifier")
def transcribe(speech, state=""):
text = asr(speech)["text"]
state += text + " "
return text, state
def speech_to_text(speech):
text = asr(speech)["text"]
return text
def text_to_sentiment(text):
return classifier(text)[0]["label"]
demo = gr.Blocks()
with demo:
microphone = gr.Audio(source="microphone", type="filepath")
audio_file = gr.Audio(type="filepath")
text = gr.Textbox()
label = gr.Label()
b0 = gr.Button("Speech From Microphone")
b1 = gr.Button("Recognize Speech")
b2 = gr.Button("Classify Sentiment")
#b0.click(transcribe, inputs=[microphone, "state"], outputs=[text, "state"], live=True)
b0.click(transcribe, inputs=[microphone], outputs=[text])
b1.click(speech_to_text, inputs=audio_file, outputs=text)
b2.click(text_to_sentiment, inputs=text, outputs=label)
## Building an Asynchronous Real-Time Live Telemedicine System Using AI Pipelines for Smart Communities
1. **Designing the Telemedicine System**
- Identify the needs and challenges of smart communities and design a telemedicine system that addresses these challenges.
- Choose a platform that allows for asynchronous real-time communication, such as video conferencing or chat-based messaging, to facilitate remote consultations with healthcare providers.
- Design the system to incorporate AI pipelines that can analyze patient data and provide decision support for healthcare providers.
2. **Implementing the AI Pipelines**
- Identify the relevant AI algorithms and techniques that can be used to analyze patient data, such as machine learning or natural language processing.
- Integrate these AI pipelines into the telemedicine system to provide decision support for healthcare providers during consultations.
- Ensure that the AI algorithms are accurate and reliable by testing them on a large and diverse set of patient data.
3. **Deploying the Telemedicine System**
- Deploy the telemedicine system in smart communities, ensuring that it is easily accessible and user-friendly for patients and healthcare providers.
- Train healthcare providers on how to use the system effectively and provide ongoing support and feedback to optimize its use.
- Continuously monitor and evaluate the system's performance, making improvements and updates as needed to ensure that it remains effective and efficient in meeting the needs of smart communities.
**__Asynchronous Telemedicine:__ A Solution to Address Provider Shortages by Offering Remote Care Services.**
# 2023's Top 7 Breakthroughs in Medical Technology
1. __Asynchronous Telemedicine:__ A Solution to Address Provider Shortages by Offering Remote Care Services. ([Wikipedia](https://en.wikipedia.org/wiki/Telemedicine))
2. __Ambient and Emotion AI:__ Empowering Patients with Artificial Intelligence That Shows Empathy and Compassion. ([Wikipedia](https://en.wikipedia.org/wiki/Ambient_intelligence))
3. __Skin Patch Technology:__ A Convenient Way to Measure Vital Signals such as Blood Pressure and Glucose Levels. ([Wikipedia](https://en.wikipedia.org/wiki/Skin_patch))
4. __Affordable Vein Scanner:__ A Revolutionary Tool to View Veins Through the Skin. ([Wikipedia](https://en.wikipedia.org/wiki/Vein_matching))
5. __Synthetic Medical Records:__ Creating Reliable Medical Records Using Generative Adversarial Networks. ([Wikipedia](https://en.wikipedia.org/wiki/Synthetic_data))
6. __Blood Draw Devices for Clinical Trials:__ Facilitating Remote Participation in Trials with Innovative Technology. ([Wikipedia](https://en.wikipedia.org/wiki/Blood_sampling))
7. __Smart TVs for Remote Care:__ Enhancing Remote Care Consultations with Video Chat and Recordings. ([Wikipedia](https://en.wikipedia.org/wiki/Smart_television))
Reference: [The Medical Futurist](https://www.youtube.com/watch?v=_9DpLD4S2AY&list=PLHgX2IExbFotoMt32SrT3Xynt5BXTGnEP&index=2)