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app.py

@@ -13,13 +13,22 @@ KNOWHOW = ('SJSU CardioLab: '
     'Equipment: Heska HT5 hematology analyzer time-resolved PIV Tygon tubing Arduino Uno.')
 
 CSS = (
-    '.gradio-container { background: #0a0f1e !important; color: white !important; max-width: 100% !important; }'
-    'body { background: #0a0f1e !important; }'
-    '.gr-button-primary { background: linear-gradient(135deg, #e63946, #c1121f) !important; border: none !important; color: white !important; border-radius: 8px !important; }'
-    '.gr-button-secondary { background: #1d3461 !important; border: 1px solid #4361ee !important; color: white !important; border-radius: 8px !important; }'
-    'textarea, input { background: #1a2744 !important; color: white !important; border: 1px solid #2d4a8a !important; border-radius: 8px !important; }'
-    '.gr-box { background: #0d1b3e !important; border: 1px solid #2d4a8a !important; border-radius: 12px !important; }'
-    'h1 { color: #e63946 !important; font-size: 2.5em !important; font-weight: 900 !important; text-align: center !important; padding: 20px !important; }'
+    'body, .gradio-container { background: #0a0f1e !important; }'
+    '.tabs { background: #0d1b3e !important; border-bottom: 2px solid #e63946 !important; }'
+    '.tab-nav button { color: #a8b2d8 !important; background: transparent !important; font-size: 1em !important; font-weight: 600 !important; padding: 10px 20px !important; border: none !important; border-bottom: 3px solid transparent !important; }'
+    '.tab-nav button.selected { color: #e63946 !important; border-bottom: 3px solid #e63946 !important; background: transparent !important; }'
+    '.tab-nav button:hover { color: #ffffff !important; background: #1a2744 !important; }'
+    'h1, h2, h3, h4, label, p, span { color: #e2e8f0 !important; }'
+    'h1 { color: #e63946 !important; font-size: 2.8em !important; font-weight: 900 !important; text-align: center !important; padding: 25px 0 !important; letter-spacing: 2px !important; }'
+    'textarea, input[type=number], input[type=text] { background: #1a2744 !important; color: #e2e8f0 !important; border: 1px solid #4361ee !important; border-radius: 8px !important; }'
+    'textarea::placeholder { color: #6b7db3 !important; }'
+    '.gr-button { border-radius: 8px !important; font-weight: 700 !important; padding: 10px 20px !important; }'
+    'button.primary { background: linear-gradient(135deg, #e63946 0%, #c1121f 100%) !important; color: white !important; border: none !important; }'
+    'button.secondary { background: #1d3461 !important; color: #a8b2d8 !important; border: 1px solid #4361ee !important; }'
+    '.message.bot { background: #1a2744 !important; border: 1px solid #2d4a8a !important; color: #e2e8f0 !important; border-radius: 12px !important; }'
+    '.message.user { background: linear-gradient(135deg, #e63946, #c1121f) !important; color: white !important; border-radius: 12px !important; }'
+    '.block { background: #0d1b3e !important; border: 1px solid #1e3a6e !important; border-radius: 12px !important; }'
+    '.chatbot { background: #0d1b3e !important; border: 1px solid #2d4a8a !important; border-radius: 12px !important; }'
 )
 
 def get_pubmed(query, n=5):
@@ -53,7 +62,7 @@ def quick_search(query):
     pubmed = get_pubmed(query, n=8)
     scholar = get_scholar(query, n=5)
     result = 'PAPERS FOR: ' + query + chr(10)+chr(10)
-    result += 'PUBMED (click links to open):'+chr(10)+pubmed+chr(10)+chr(10)
+    result += 'PUBMED (verified links):'+chr(10)+pubmed+chr(10)+chr(10)
     result += 'SEMANTIC SCHOLAR:'+chr(10)+scholar
     return result
 
@@ -91,7 +100,12 @@ def piv_tool(velocity, shear, hr):
 def tgt_tool(tat,pf12,hemo,platelets,time):
     risk=sum([float(tat)>15,float(pf12)>2.0,float(hemo)>50,float(platelets)<150])
     r='HIGH THROMBOGENIC RISK' if risk>=3 else 'MODERATE RISK' if risk>=2 else 'LOW RISK'
-    return 'TIME: '+str(time)+' min'+chr(10)+'TAT: '+str(tat)+(' - HIGH' if float(tat)>15 else ' - NORMAL')+chr(10)+'PF1.2: '+str(pf12)+(' - HIGH' if float(pf12)>2.0 else ' - NORMAL')+chr(10)+'HEMOGLOBIN: '+str(hemo)+(' - HIGH' if float(hemo)>50 else ' - NORMAL')+chr(10)+'PLATELETS: '+str(platelets)+(' - LOW' if float(platelets)<150 else ' - NORMAL')+chr(10)+chr(10)+'OVERALL: '+r
+    return ('TIME: '+str(time)+' min'+chr(10)+
+        'TAT: '+str(tat)+(' - HIGH' if float(tat)>15 else ' - NORMAL')+chr(10)+
+        'PF1.2: '+str(pf12)+(' - HIGH' if float(pf12)>2.0 else ' - NORMAL')+chr(10)+
+        'HEMOGLOBIN: '+str(hemo)+(' - HIGH' if float(hemo)>50 else ' - NORMAL')+chr(10)+
+        'PLATELETS: '+str(platelets)+(' - LOW' if float(platelets)<150 else ' - NORMAL')+chr(10)+chr(10)+
+        'OVERALL: '+r)
 
 def upad_tool(r,g,b):
     c=max(0,round(0.02*(float(r)-float(b))-0.5,2))
@@ -106,7 +120,7 @@ with gr.Blocks(title='CardioLab AI', css=CSS) as demo:
     gr.Markdown('# CardioLab AI')
 
     with gr.Tabs():
-        with gr.Tab('Chat'):
+        with gr.Tab('💬 Chat'):
             chatbot = gr.Chatbot(label='', height=500)
             with gr.Row():
                 msg_box = gr.Textbox(placeholder='Ask anything about CardioLab research...', label='', lines=2, scale=4)
@@ -117,14 +131,14 @@ with gr.Blocks(title='CardioLab AI', css=CSS) as demo:
             msg_box.submit(research_chat, inputs=[msg_box, chatbot], outputs=[msg_box, chatbot])
             clear_btn.click(lambda: ([], ''), outputs=[chatbot, msg_box])
 
-        with gr.Tab('Paper Search'):
+        with gr.Tab('🔍 Paper Search'):
             search_input = gr.Textbox(placeholder='e.g. mechanical heart valve thrombogenicity', label='Research topic')
             search_btn = gr.Button('Search Papers', variant='primary')
             search_output = gr.Textbox(label='Results', lines=20)
             search_btn.click(quick_search, inputs=search_input, outputs=search_output)
             search_input.submit(quick_search, inputs=search_input, outputs=search_output)
 
-        with gr.Tab('PIV Analysis'):
+        with gr.Tab('📊 PIV Analysis'):
             with gr.Row():
                 with gr.Column():
                     v=gr.Number(label='Max Velocity m/s', value=1.8)
@@ -133,7 +147,7 @@ with gr.Blocks(title='CardioLab AI', css=CSS) as demo:
                     piv_out=gr.Textbox(label='Result', lines=5)
                     gr.Button('Analyze PIV', variant='primary').click(piv_tool,inputs=[v,s,h],outputs=piv_out)
 
-        with gr.Tab('TGT Results'):
+        with gr.Tab('🩸 TGT Results'):
             t1=gr.Number(label='TAT ng/mL', value=18)
             t2=gr.Number(label='PF1.2 nmol/L', value=2.5)
             t3=gr.Number(label='Free Hemoglobin mg/L', value=60)
@@ -142,7 +156,7 @@ with gr.Blocks(title='CardioLab AI', css=CSS) as demo:
             out2=gr.Textbox(label='Result', lines=8)
             gr.Button('Analyze TGT', variant='primary').click(tgt_tool,inputs=[t1,t2,t3,t4,t5],outputs=out2)
 
-        with gr.Tab('uPAD CKD'):
+        with gr.Tab('🧪 uPAD CKD'):
             r=gr.Number(label='R value', value=210)
             g=gr.Number(label='G value', value=140)
             b=gr.Number(label='B value', value=80)