| import gradio as gr
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| import matplotlib.pyplot as plt
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| import numpy as np
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| from PIL import Image
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| import soundfile as sf
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| import io
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| def process_image(img):
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| if img is None:
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| return "No image uploaded", None
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| plt.figure(figsize=(4, 4))
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| plt.imshow(np.random.rand(100, 100), cmap="jet")
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| plt.title("AI Heatmap (Placeholder)")
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| plt.axis("off")
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| buf = io.BytesIO()
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| plt.savefig(buf, format="png")
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| buf.seek(0)
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| return "Image processed (placeholder inference).", buf
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| def process_audio(audio_file):
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| if audio_file is None:
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| return "No audio uploaded."
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| data, sample_rate = sf.read(audio_file)
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| duration = len(data) / sample_rate
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| return f"Cough audio received — Duration: {duration:.2f} sec (placeholder inference)"
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| def process_tabular(symptoms, age, smoker):
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| if age is None:
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| return "Please enter an age."
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| risk = 0
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| if symptoms:
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| if "Persistent Cough" in symptoms:
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| risk += 20
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| if "Breathlessness" in symptoms:
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| risk += 20
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| if "Fever" in symptoms:
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| risk += 15
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| if "Fatigue" in symptoms:
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| risk += 10
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| if smoker:
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| risk += 30
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| risk += int(age) * 0.4
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| return f"Estimated Risk Score: {risk:.1f} (placeholder ML logic)"
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| image_interface = gr.Interface(
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| fn=process_image,
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| inputs=gr.Image(label="Upload Chest X-ray"),
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| outputs=[
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| gr.Textbox(label="Status"),
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| gr.Image(label="AI Heatmap Output")
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| ],
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| title="ContinuumDx — Imaging Module",
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| description="Upload a chest X-ray to view placeholder AI inference."
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| )
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| audio_interface = gr.Interface(
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| fn=process_audio,
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| inputs=gr.Audio(
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| sources=["upload"],
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| type="filepath",
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| label="Upload Cough / Respiratory Audio"
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| ),
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| outputs=gr.Textbox(label="Audio Analysis Result"),
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| title="Cough Sound Analysis",
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| description="Upload cough audio to simulate AI cough analysis."
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| )
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| symptom_interface = gr.Interface(
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| fn=process_tabular,
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| inputs=[
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| gr.CheckboxGroup(
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| ["Persistent Cough", "Breathlessness", "Fever", "Fatigue"],
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| label="Symptoms"
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| ),
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| gr.Number(label="Age"),
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| gr.Checkbox(label="Smoker?")
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| ],
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| outputs=gr.Textbox(label="Risk Score"),
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| title="Symptoms + Risk Assessment",
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| description="Enter symptoms and risk factors for structured health screening."
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| )
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| app = gr.TabbedInterface(
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| [image_interface, audio_interface, symptom_interface],
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| ["Imaging", "Cough Audio", "Symptoms"]
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| )
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| if __name__ == "__main__":
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| app.launch(share=True)
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|
