Upload continuumdx_mvp.py

continuumdx_mvp.py

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