Update app.py

app.py

@@ -19,50 +19,29 @@ if not GROQ_API_KEY:
 
 st.set_page_config(page_title="IntelliCare Portal | Hassan Naseer", layout="wide", page_icon="🏥")
 
-# --- 2. PREMIUM CSS (CARD NAVIGATION & STICKY UI) ---
+# --- 2. PREMIUM CSS ---
 st.markdown("""
 <style>
-    /* SOLID BLUE SIDEBAR */
     [data-testid="stSidebar"] { background: #1e3a8a !important; }
     [data-testid="stSidebar"] * { color: #ffffff !important; }
-    
-    /* REMOVE DEFAULT RADIO CIRCLES */
     [data-testid="stSidebar"] .stRadio > div { display: none; }
-
-    /* PREMIUM CARD-STYLE NAVIGATION BUTTONS */
+    
     div.stButton > button, div.stDownloadButton > button {
-        background-color: #2563eb !important; 
-        color: white !important;
-        border: 2px solid #3b82f6 !important;
-        border-radius: 12px !important;
-        transition: all 0.3s ease-in-out !important;
-        font-weight: bold !important;
-        width: 100% !important;
+        background-color: #2563eb !important; color: white !important;
+        border: 2px solid #3b82f6 !important; border-radius: 12px !important;
+        transition: 0.3s; font-weight: bold !important; width: 100% !important;
         margin-bottom: 10px !important;
     }
-    div.stButton > button:hover {
-        background-color: #1e40af !important; 
-        border-color: #60a5fa !important;
-        box-shadow: 0 0 10px #3b82f6 !important;
-    }
+    div.stButton > button:hover { background-color: #1e40af !important; border-color: #60a5fa !important; box-shadow: 0 0 10px #3b82f6 !important; }
     
-    /* STICKY INPUT PADDING FIX */
     .main .block-container { padding-bottom: 180px; }
-
-    /* ANALYTICS CARDS */
-    .metric-card {
-        background: white; border-radius: 12px; padding: 20px;
-        border-left: 5px solid #2563eb; box-shadow: 0 4px 15px rgba(0,0,0,0.05);
-        color: #1e293b; margin-bottom: 15px;
-    }
-
-    /* CHAT BUBBLES */
+    .metric-card { background: white; border-radius: 12px; padding: 20px; border-left: 5px solid #2563eb; box-shadow: 0 4px 15px rgba(0,0,0,0.05); color: #1e293b; margin-bottom: 15px; }
     .user-msg { background: #3b82f6; color: white; padding: 15px; border-radius: 15px 15px 2px 15px; margin-bottom: 10px; margin-left: 15%; }
     .ai-msg { background: #f1f5f9; color: #1e293b; padding: 15px; border-radius: 15px 15px 15px 2px; margin-bottom: 10px; margin-right: 15%; border: 1px solid #e2e8f0; }
 </style>
 """, unsafe_allow_html=True)
 
-# --- 3. DATABASE UTILS ---
+# --- 3. DATABASE HANDLERS ---
 USER_DB, CALL_LOG_DB, CALL_SIGNAL_DB, FEEDBACK_DB, RX_DB = "users_secure.csv", "call_history.csv", "active_calls.csv", "feedback.csv", "prescriptions.csv"
 
 def hash_pass(pwd): return hashlib.sha256(str.encode(pwd)).hexdigest()
@@ -77,7 +56,7 @@ if "active_doc" not in st.session_state: st.session_state.active_doc = ""
 if "audio_key" not in st.session_state: st.session_state.audio_key = 0
 if "nav" not in st.session_state: st.session_state.nav = "Home"
 
-# --- 4. AUTHENTICATION (RESTORING ALL TABS) ---
+# --- 4. AUTHENTICATION ---
 if not st.session_state.logged_in:
     st.markdown("<h1 style='text-align: center; color: #1e3a8a;'>🏥 IntelliCare Portal</h1>", unsafe_allow_html=True)
     c2 = st.columns([1, 2, 1])[1]
@@ -97,18 +76,15 @@ if not st.session_state.logged_in:
             nr = st.selectbox("Role", ["Patient", "Doctor"])
             if st.button("Register Account"):
                 df = load_db(USER_DB, ["username", "password", "role"])
-                if not df[df['username'] == nu].empty: st.error("User already exists!")
-                else:
-                    pd.concat([df, pd.DataFrame([{"username": nu, "password": hash_pass(np), "role": nr}])]).to_csv(USER_DB, index=False)
-                    st.success("Registration Successful! Please Login.")
+                pd.concat([df, pd.DataFrame([{"username": nu, "password": hash_pass(np), "role": nr}])]).to_csv(USER_DB, index=False)
+                st.success("Registration Successful!")
     st.stop()
 
-# --- 5. SIDEBAR (MODERN CARD NAVIGATION & CLEAR CHAT) ---
+# --- 5. SIDEBAR ---
 with st.sidebar:
     st.markdown(f"### 👤 {st.session_state.username} ({st.session_state.role})")
-    lang = st.radio("🌐 Language", ["English", "Urdu"], label_visibility="collapsed")
+    lang = st.radio("Language", ["English", "Urdu"], label_visibility="collapsed")
     st.divider()
-    
     if st.session_state.role == "Patient":
         if st.button("💬 AI Chat"): st.session_state.nav = "💬 AI Chat"
         if st.button("💊 My Prescriptions"): st.session_state.nav = "💊 Prescriptions"
@@ -121,48 +97,62 @@ with st.sidebar:
         if st.button("🖥️ Consultation Desk"): st.session_state.nav = "🖥️ Desk"
         if st.button("✍️ Issue Prescription"): st.session_state.nav = "✍️ Prescription"
         if st.button("📂 AI Summarizer"): st.session_state.nav = "📂 Summarizer"
-
+    
     st.divider()
     if st.button("🗑️ Clear Chat"): 
         st.session_state.msgs, st.session_state.active_doc = [], ""
         st.rerun()
     if st.button("🚪 Logout"): st.session_state.logged_in = False; st.rerun()
 
-# --- 6. DOCTOR CONTENT ---
+# --- 6. DOCTOR PORTAL (LIVE ANALYTICS) ---
 if st.session_state.nav == "📊 Analytics":
-    st.markdown("### 📊 Physician Practice Insights")
-    c1, c2, c3 = st.columns(3)
-    with c1: st.markdown('<div class="metric-card"><b>Registered Patients</b><br><h2>84</h2></div>', unsafe_allow_html=True)
-    with c2: st.markdown('<div class="metric-card"><b>Avg. Rating</b><br><h2>4.9/5</h2></div>', unsafe_allow_html=True)
-    with c3: st.markdown('<div class="metric-card"><b>Pending Reports</b><br><h2>12</h2></div>', unsafe_allow_html=True)
-    st.plotly_chart(go.Figure(go.Indicator(mode="gauge+number", value=75, title={'text': "Consultation Capacity"})))
+    st.markdown("### 📊 Live Physician Practice Analytics")
+    u_db = load_db(USER_DB, ["username", "role"])
+    f_db = load_db(FEEDBACK_DB, ["Doctor", "Rating"])
+    total_patients = len(u_db[u_db['role'] == 'Patient'])
+    my_rating = f_db[f_db['Doctor'] == st.session_state.username]['Rating'].mean() if not f_db.empty else 5.0
 
-elif st.session_state.nav == "✍️ Prescription":
-    st.markdown("### ✍️ Draft Digital Prescription")
-    user_db = load_db(USER_DB, ["username", "role"])
-    patients = user_db[user_db['role'] == "Patient"]['username'].tolist()
-    with st.form("rx"):
-        target = st.selectbox("Select Patient", patients)
-        meds = st.text_area("Instructions")
-        if st.form_submit_button("Issue Prescription"):
-            pd.concat([load_db(RX_DB, ["Date", "Doctor", "Patient", "Notes"]), pd.DataFrame([{"Date": datetime.now().strftime("%Y-%m-%d"), "Doctor": st.session_state.username, "Patient": target, "Notes": meds}])]).to_csv(RX_DB, index=False)
-            st.success(f"Prescription sent to {target}!")
-
-# --- 7. PATIENT CONTENT (FIXED STICKY CHAT & VOICE) ---
+    c1, c2, c3 = st.columns(3)
+    with c1: st.markdown(f'<div class="metric-card"><b>Registered Patients</b><br><h2>{total_patients}</h2></div>', unsafe_allow_html=True)
+    with c2: st.markdown(f'<div class="metric-card"><b>Average Rating</b><br><h2>{my_rating:.1f}/5</h2></div>', unsafe_allow_html=True)
+    with c3: st.markdown('<div class="metric-card"><b>Server Status</b><br><h2>Online</h2></div>', unsafe_allow_html=True)
+
+    g1, g2 = st.columns(2)
+    with g1:
+        st.plotly_chart(go.Figure(go.Indicator(mode="gauge+number", value=total_patients, gauge={'axis': {'range': [0, 100]}, 'bar': {'color': "#1e3a8a"}}, title={'text': "Total Patient Registry"})), use_container_width=True)
+    with g2:
+        st.plotly_chart(go.Figure(data=[go.Pie(labels=['Patients', 'Doctors'], values=[total_patients, len(u_db[u_db['role'] == 'Doctor'])], hole=.4)]), use_container_width=True)
+
+elif st.session_state.nav == "🖥️ Desk":
+    st.markdown("### 🖥️ Consultation Desk")
+    sig = load_db(CALL_SIGNAL_DB, ["Caller", "Receiver", "RoomID", "Status"])
+    active = sig[(sig['Receiver'] == st.session_state.username) & (sig['Status'] == 'Active')]
+    if not active.empty:
+        st.info(f"🔔 Incoming Request: **{active.iloc[0]['Caller']}**")
+        if st.button("✅ Join Consultation"): st.session_state.d_room = active.iloc[0]['RoomID']
+    if "d_room" in st.session_state:
+        st.components.v1.html(f'<iframe src="https://meet.jit.si/{st.session_state.d_room}" width="100%" height="650px" allow="camera; microphone; fullscreen; display-capture"></iframe>', height=700)
+
+elif st.session_state.nav == "📂 Summarizer":
+    st.markdown("### 📂 AI Clinical Summarizer")
+    up_s = st.file_uploader("Upload Report (PDF)", type=['pdf'])
+    if up_s:
+        with pdfplumber.open(up_s) as f:
+            text_s = " ".join([p.extract_text() for p in f.pages if p.extract_text()])
+            if st.button("🚀 Process Clinical Summary"):
+                res = Groq(api_key=GROQ_API_KEY).chat.completions.create(model="llama-3.3-70b-versatile", messages=[{"role": "system", "content": "You are a physician. Summarize this report for a doctor's review."}, {"role": "user", "content": text_s}])
+                st.info(res.choices[0].message.content)
+
+# --- 7. PATIENT CONTENT & TOOLS ---
 elif st.session_state.nav == "💬 AI Chat":
-    st.markdown("### 💬 Clinical AI Assistant")
-    up = st.file_uploader("Upload PDF Report", type=['pdf'])
-    if up:
-        with pdfplumber.open(up) as f:
+    up_p = st.file_uploader("Upload Report", type=['pdf'])
+    if up_p:
+        with pdfplumber.open(up_p) as f:
             st.session_state.active_doc = " ".join([p.extract_text() for p in f.pages if p.extract_text()])
-
     for m in st.session_state.msgs:
         st.markdown(f'<div class="{"user-msg" if m["role"]=="user" else "ai-msg"}">{m["content"]}</div>', unsafe_allow_html=True)
-    
-    st.write("---")
-    v = st.audio_input("🎤 Voice Query", key=f"v_{st.session_state.audio_key}")
-    q = st.chat_input("Ask health query...") # Sticky input box
-
+    v = st.audio_input("🎤", key=f"v_{st.session_state.audio_key}")
+    q = st.chat_input("Ask health query...")
     if q or v:
         final_q = q if q else Groq(api_key=GROQ_API_KEY).audio.transcriptions.create(file=("a.wav", v.getvalue()), model="whisper-large-v3", response_format="text")
         st.session_state.msgs.append({"role": "user", "content": final_q})
@@ -171,41 +161,32 @@ elif st.session_state.nav == "💬 AI Chat":
         st.session_state.audio_key += 1
         st.rerun()
 
-elif st.session_state.nav == "💊 Prescriptions":
-    rx = load_db(RX_DB, ["Date", "Doctor", "Patient", "Notes"])
-    st.dataframe(rx[rx['Patient'] == st.session_state.username], use_container_width=True)
-
 elif st.session_state.nav == "🧪 Health Lab":
+    st.markdown("### 🧪 Personal Health Lab")
     tool = st.selectbox("Tool", ["⚖️ BMI Analyzer", "🩸 Glucose Tracker"])
     if tool == "⚖️ BMI Analyzer":
         
-        w, h = st.number_input("Weight", 70), st.number_input("Height", 175)
+        w, h = st.number_input("Weight (kg)", 70), st.number_input("Height (cm)", 175)
         bmi = round(w / ((h/100)**2), 1)
-        st.metric("BMI", bmi)
-        st.plotly_chart(go.Figure(go.Indicator(mode="gauge+number", value=bmi)))
-
-# --- 8. SHARED TOOLS ---
-elif st.session_state.nav == "📍 Clinics":
-    loc = streamlit_geolocation()
-    if loc.get("latitude"):
-        st_folium(folium.Map(location=[loc["latitude"], loc["longitude"]], zoom_start=14), width="100%")
+        st.plotly_chart(go.Figure(go.Indicator(mode="gauge+number", value=bmi, title={'text': "Current BMI"})), use_container_width=True)
 
 elif st.session_state.nav == "📞 Video":
-    docs = load_db(USER_DB, ["username", "role"])[load_db(USER_DB, ["username", "role"])['role'] == "Doctor"]['username'].tolist()
+    u_db = load_db(USER_DB, ["username", "role"])
+    docs = u_db[u_db['role'] == "Doctor"]['username'].tolist()
     target = st.selectbox("Select Specialist", docs)
     if st.button("Start Call"):
         room = f"IntelliCare-{st.session_state.username}-{target}"
         pd.DataFrame([{"Caller": st.session_state.username, "Receiver": target, "RoomID": room, "Status": "Active"}]).to_csv(CALL_SIGNAL_DB, index=False)
         st.session_state.p_room = room
     if "p_room" in st.session_state:
-        st.components.v1.html(f'<iframe src="https://meet.jit.si/{st.session_state.p_room}" width="100%" height="650px"></iframe>', height=650)
-
-elif st.session_state.nav == "⭐ Feedback":
-    docs = load_db(USER_DB, ["username", "role"])[load_db(USER_DB, ["username", "role"])['role'] == "Doctor"]['username'].tolist()
-    with st.form("fb"):
-        target = st.selectbox("Doctor", docs)
-        r = st.slider("Rating", 1, 5, 5)
-        c = st.text_area("Comment")
-        if st.form_submit_button("Submit"):
-            pd.concat([load_db(FEEDBACK_DB, ["Time", "Patient", "Doctor", "Rating", "Comment"]), pd.DataFrame([{"Time": datetime.now().strftime("%Y-%m-%d"), "Patient": st.session_state.username, "Doctor": target, "Rating": r, "Comment": c}])]).to_csv(FEEDBACK_DB, index=False)
-            st.success("Feedback Sent!")
+        st.components.v1.html(f'<iframe src="https://meet.jit.si/{st.session_state.p_room}" width="100%" height="650px" allow="camera; microphone; fullscreen; display-capture"></iframe>', height=700)
+
+elif st.session_state.nav == "✍️ Prescription":
+    u_db = load_db(USER_DB, ["username", "role"])
+    patients = u_db[u_db['role'] == "Patient"]['username'].tolist()
+    with st.form("rx"):
+        target = st.selectbox("Select Patient", patients)
+        meds = st.text_area("Prescription Notes")
+        if st.form_submit_button("Send"):
+            pd.concat([load_db(RX_DB, ["Date", "Doctor", "Patient", "Notes"]), pd.DataFrame([{"Date": datetime.now().strftime("%Y-%m-%d"), "Doctor": st.session_state.username, "Patient": target, "Notes": meds}])]).to_csv(RX_DB, index=False)
+            st.success("Sent!")