Duplicate from awacke1/GradioVoicetoTexttoSentiment

Co-authored-by: Aaron C Wacker <[email protected]>

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README.md

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+---
+title: GradioVoicetoTexttoSentiment
+emoji: 🌍
+colorFrom: green
+colorTo: red
+sdk: gradio
+sdk_version: 3.18.0
+app_file: app.py
+pinned: false
+license: mit
+duplicated_from: awacke1/GradioVoicetoTexttoSentiment
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

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+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)
+
+    gr.Markdown("""References:
+
+## 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()

requirements.txt

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+transformers
+torch