Update app.py

app.py

@@ -21,9 +21,11 @@ DEVICE_PARAMS = {
 # -----------------------------
 # HRV ANALYSIS FUNCTION
 # -----------------------------
-def analyze_hrv(device, **kwargs):
+def analyze_hrv(device, param_values):
+    params = DEVICE_PARAMS.get(device, DEVICE_PARAMS["Other / Custom"])
     payload = {"device": device}
-    payload.update(kwargs)
+    for k, v in zip(params, param_values):
+        payload[k] = v
 
     thresholds = """
     Use these physiological ranges:
@@ -41,7 +43,7 @@ def analyze_hrv(device, **kwargs):
 
     prompt = f"""
     You are a Welltory-style health assistant. Speak directly to the user in a warm, human tone.
-    If any parameter has a value of 0 or missing, skip analyzing or mentioning it entirely.
+    Skip parameters with missing or zero values.
 
     Here is the HRV dataset:
     {json.dumps(payload, indent=2)}
@@ -49,16 +51,13 @@ def analyze_hrv(device, **kwargs):
     {thresholds}
 
     Instructions:
-    1. Evaluate each parameter relative to its range.
-    2. Explain what it means for stress, recovery, and adaptability.
-    3. If baseline > 0, describe it as a long-term recovery trend.
-    4. Maintain a calm, motivating tone like a professional wellness coach.
-    5. Address the user directly (use “you”, “your”).
-    6. Don’t mention numerical thresholds.
-    7. Output your answer in Markdown with:
-       **Parameter Insights**
-       **Overall Interpretation**
-       **Actionable Suggestions**
+    - Evaluate each parameter relative to its range.
+    - Explain its meaning for stress, recovery, and adaptability.
+    - If baseline > 0, describe it as a long-term recovery trend.
+    - Use a calm, encouraging tone.
+    - Do NOT mention numerical thresholds.
+    - Output in Markdown with:
+      **Parameter Insights**, **Overall Interpretation**, **Actionable Suggestions**
     """
 
     response = requests.post(
@@ -80,50 +79,50 @@ def analyze_hrv(device, **kwargs):
         return f"⚠️ Error: {e}\n\nRaw response: {response.text}"
 
 # -----------------------------
-# DYNAMIC UI BUILDER
+# BUILD UI
 # -----------------------------
 def get_param_inputs(device):
+    """Return input components based on device."""
     params = DEVICE_PARAMS.get(device, DEVICE_PARAMS["Other / Custom"])
-    components = [gr.Number(label=p) for p in params]
-    return components
+    return [gr.Number(label=p, value=0) for p in params]
 
-def update_param_fields(device):
+def update_fields(device):
+    """Dynamically rebuild parameter input fields when device changes."""
     components = get_param_inputs(device)
-    return gr.update(visible=True), components
+    return gr.Group(components), gr.State(device), gr.State(components)
 
-# -----------------------------
-# BUILD INTERFACE
-# -----------------------------
 with gr.Blocks(title="💓 HRV Wellness Insight (Groq + Welltory Style)") as demo:
-    gr.Markdown("### 💓 HRV Wellness Insight\nSelect your wearable device and enter your HRV metrics below to get a detailed interpretation.")
+    gr.Markdown("## 💓 HRV Wellness Insight\nSelect your wearable device and enter your HRV metrics to get a detailed interpretation.")
 
     device_dropdown = gr.Dropdown(
-        label="Select Your Device",
+        label="Select Device",
         choices=list(DEVICE_PARAMS.keys()),
         value="Apple Watch"
     )
 
-    param_inputs = gr.Group(visible=True)
-    dynamic_params = gr.Column(get_param_inputs("Apple Watch"))
+    # Dynamic area for parameters
+    param_group = gr.Group(get_param_inputs("Apple Watch"))
+    device_state = gr.State("Apple Watch")
+    params_state = gr.State(get_param_inputs("Apple Watch"))
 
     output = gr.Markdown()
 
+    analyze_btn = gr.Button("🔍 Analyze HRV")
+
     def forward_call(device, *args):
-        # Prepare kwargs for parameters dynamically
-        params = DEVICE_PARAMS.get(device, [])
-        values = dict(zip(params, args))
-        return analyze_hrv(device, **values)
+        return analyze_hrv(device, args)
 
+    # Update parameter fields when device changes
     device_dropdown.change(
-        fn=lambda d: gr.Column(get_param_inputs(d)),
+        fn=lambda d: (gr.Group(get_param_inputs(d)), d, get_param_inputs(d)),
         inputs=device_dropdown,
-        outputs=dynamic_params
+        outputs=[param_group, device_state, params_state]
     )
 
-    analyze_btn = gr.Button("🔍 Analyze HRV")
+    # Trigger analysis
     analyze_btn.click(
         fn=forward_call,
-        inputs=[device_dropdown] + get_param_inputs("Apple Watch"),
+        inputs=[device_state, *params_state],
         outputs=output
     )