Update app.py

app.py

@@ -35,11 +35,39 @@ with demo:
     b2.click(text_to_sentiment, inputs=text, outputs=label)
 
     gr.Markdown("""References:
-    1. ASR Model: https://huggingface.co/facebook/wav2vec2-base-960h
-    2. Sentiment: https://huggingface.co/michellejieli/emotion_text_classifier
-    3. ASR Lesson: https://gradio.app/real-time-speech-recognition/
-    4. State: https://gradio.app/interface-state/
-    5. Deepspeech: https://deepspeech.readthedocs.io/en/r0.9/
+
+## 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.**
+([Wikipedia](https://en.wikipedia.org/wiki/Telemedicine))
+
+
+# 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)
+
     """)
 
 demo.launch()