Update app.py

app.py

@@ -1,64 +1,134 @@
 import gradio as gr
-from huggingface_hub import InferenceClient
 
-"""
-For more information on `huggingface_hub` Inference API support, please check the docs: https://huggingface.co/docs/huggingface_hub/v0.22.2/en/guides/inference
-"""
-client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
+def health_monitoring(bp_sys, bp_dia, temp, heart_rate, spo2):
+    messages = []
+    
+    if bp_sys > 140 or bp_dia > 90:
+        messages.append("⚠️ Umuvuduko w’amaraso uri hejuru cyane.")
+    elif bp_sys < 90 or bp_dia < 60:
+        messages.append("⚠️ Umuvuduko w’amaraso uri hasi cyane.")
+    else:
+        messages.append("✅ Umuvuduko w’amaraso uri mu rugero rwiza.")
+    
+    if temp > 38:
+        messages.append("⚠️ Ubushyuhe bw’umubiri buri hejuru, hashobora kuba indwara.")
+    elif temp < 36:
+        messages.append("⚠️ Ubushyuhe bw’umubiri buri hasi cyane.")
+    else:
+        messages.append("✅ Ubushyuhe bw’umubiri buri mu rugero.")
+    
+    if heart_rate > 100:
+        messages.append("⚠️ Umuvuduko w’imitima uri hejuru.")
+    elif heart_rate < 60:
+        messages.append("⚠️ Umuvuduko w’imitima uri hasi.")
+    else:
+        messages.append("✅ Umuvuduko w’imitima uri mu rugero rwiza.")
+    
+    if spo2 < 95:
+        messages.append("⚠️ Oxygen saturation iri hasi, bishobora kuba ikibazo.")
+    else:
+        messages.append("✅ Oxygen saturation iri mu rugero rwiza.")
+    
+    alerts = [m for m in messages if m.startswith("⚠️")]
+    if alerts:
+        messages.append("\n⚠️ Inama: Gana muganga vuba.")
+    else:
+        messages.append("\n✅ Uruhare rwawe ni rwiza, komereza aho.")
+    
+    return "\n".join(messages)
 
+def adjust_value(value, delta, min_val, max_val):
+    new_val = value + delta
+    if new_val < min_val:
+        new_val = min_val
+    if new_val > max_val:
+        new_val = max_val
+    return new_val
 
-def respond(
-    message,
-    history: list[tuple[str, str]],
-    system_message,
-    max_tokens,
-    temperature,
-    top_p,
-):
-    messages = [{"role": "system", "content": system_message}]
+with gr.Blocks() as demo:
+    gr.Markdown("## Healthcare Monitoring System with Adjustment Buttons")
+    
+    bp_sys = gr.Slider(50, 200, step=1, label="Umuvuduko w'amaraso (Systolic)", value=120)
+    bp_dia = gr.Slider(30, 130, step=1, label="Umuvuduko w'amaraso (Diastolic)", value=80)
+    temp = gr.Slider(30.0, 42.0, step=0.1, label="Ubushyuhe bw'umubiri (°C)", value=36.5)
+    heart_rate = gr.Slider(30, 150, step=1, label="Umuvuduko w'imitima (bpm)", value=75)
+    spo2 = gr.Slider(70, 100, step=1, label="Oxygen Saturation (%)", value=98)
+    
+    output = gr.Textbox(label="Ibisubizo bya System", lines=12)
+    
+    # Function to update all values and output after adjustments
+    def update_all(bp_sys_val, bp_dia_val, temp_val, heart_rate_val, spo2_val):
+        return health_monitoring(bp_sys_val, bp_dia_val, temp_val, heart_rate_val, spo2_val)
+    
+    # Buttons for bp_sys
+    bp_sys_inc = gr.Button("+")
+    bp_sys_dec = gr.Button("-")
+    # Buttons for bp_dia
+    bp_dia_inc = gr.Button("+")
+    bp_dia_dec = gr.Button("-")
+    # Buttons for temp
+    temp_inc = gr.Button("+")
+    temp_dec = gr.Button("-")
+    # Buttons for heart_rate
+    heart_rate_inc = gr.Button("+")
+    heart_rate_dec = gr.Button("-")
+    # Buttons for spo2
+    spo2_inc = gr.Button("+")
+    spo2_dec = gr.Button("-")
+    
+    # Layout
+    with gr.Row():
+        gr.Column([bp_sys, bp_sys_dec, bp_sys_inc])
+        gr.Column([bp_dia, bp_dia_dec, bp_dia_inc])
+    with gr.Row():
+        gr.Column([temp, temp_dec, temp_inc])
+        gr.Column([heart_rate, heart_rate_dec, heart_rate_inc])
+        gr.Column([spo2, spo2_dec, spo2_inc])
+    
+    # Connect buttons to update sliders and output
+    bp_sys_inc.click(
+        lambda val: adjust_value(val, 1, 50, 200), bp_sys, bp_sys)
+    bp_sys_dec.click(
+        lambda val: adjust_value(val, -1, 50, 200), bp_sys, bp_sys)
+    
+    bp_dia_inc.click(
+        lambda val: adjust_value(val, 1, 30, 130), bp_dia, bp_dia)
+    bp_dia_dec.click(
+        lambda val: adjust_value(val, -1, 30, 130), bp_dia, bp_dia)
+    
+    temp_inc.click(
+        lambda val: adjust_value(val, 0.1, 30.0, 42.0), temp, temp)
+    temp_dec.click(
+        lambda val: adjust_value(val, -0.1, 30.0, 42.0), temp, temp)
+    
+    heart_rate_inc.click(
+        lambda val: adjust_value(val, 1, 30, 150), heart_rate, heart_rate)
+    heart_rate_dec.click(
+        lambda val: adjust_value(val, -1, 30, 150), heart_rate, heart_rate)
+    
+    spo2_inc.click(
+        lambda val: adjust_value(val, 1, 70, 100), spo2, spo2)
+    spo2_dec.click(
+        lambda val: adjust_value(val, -1, 70, 100), spo2, spo2)
+    
+    # When any slider changes, update output
+    for slider in [bp_sys, bp_dia, temp, heart_rate, spo2]:
+        slider.change(
+            fn=update_all,
+            inputs=[bp_sys, bp_dia, temp, heart_rate, spo2],
+            outputs=output
+        )
+    
+    # Also update output when buttons clicked by triggering slider change
+    for slider in [bp_sys, bp_dia, temp, heart_rate, spo2]:
+        slider.change(
+            fn=update_all,
+            inputs=[bp_sys, bp_dia, temp, heart_rate, spo2],
+            outputs=output
+        )
+    
+    # Show initial values result
+    output.value = health_monitoring(120, 80, 36.5, 75, 98)
 
-    for val in history:
-        if val[0]:
-            messages.append({"role": "user", "content": val[0]})
-        if val[1]:
-            messages.append({"role": "assistant", "content": val[1]})
+demo.launch()
 
-    messages.append({"role": "user", "content": message})
-
-    response = ""
-
-    for message in client.chat_completion(
-        messages,
-        max_tokens=max_tokens,
-        stream=True,
-        temperature=temperature,
-        top_p=top_p,
-    ):
-        token = message.choices[0].delta.content
-
-        response += token
-        yield response
-
-
-"""
-For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
-"""
-demo = gr.ChatInterface(
-    respond,
-    additional_inputs=[
-        gr.Textbox(value="You are a friendly Chatbot.", label="System message"),
-        gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
-        gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
-        gr.Slider(
-            minimum=0.1,
-            maximum=1.0,
-            value=0.95,
-            step=0.05,
-            label="Top-p (nucleus sampling)",
-        ),
-    ],
-)
-
-
-if __name__ == "__main__":
-    demo.launch()