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import streamlit as st
def triage_checkin():
st.write("### Triage and Check-in Expert 🚑")
for i in range(1, 11):
st.text_input(f"Question {i} for Triage")
def lab_analyst():
st.write("### Lab Analyst 🧪")
for i in range(1, 11):
st.text_input(f"Question {i} for Lab Analysis")
def medicine_specialist():
st.write("### Medicine Specialist 💊")
for i in range(1, 11):
st.text_input(f"Question {i} for Medicine")
def service_expert():
st.write("### Service Expert 💲")
for i in range(1, 11):
st.text_input(f"Question {i} for Service")
def care_expert():
st.write("### Level of Care Expert 🏥")
for i in range(1, 11):
st.text_input(f"Question {i} for Level of Care")
def terminology_expert():
st.write("### Terminology Expert 📚")
for i in range(1, 11):
st.text_input(f"Question {i} for Terminology")
def cmo():
st.write("### Chief Medical Officer 🩺")
for i in range(1, 11):
st.text_input(f"Question {i} for CMO")
def medical_director():
st.write("### Medical Director Team 🏢")
for i in range(1, 11):
st.text_input(f"Question {i} for Medical Director")
def main():
st.title("Mixture of Medical Experts Model")
st.write("Harness the power of AI with this specialized healthcare framework! 🎉")
role = st.selectbox("Select AI Role:", [
"Triage and Check-in Expert",
"Lab Analyst",
"Medicine Specialist",
"Service Expert",
"Level of Care Expert",
"Terminology Expert",
"Chief Medical Officer",
"Medical Director Team"
])
if role == "Triage and Check-in Expert":
triage_checkin()
elif role == "Lab Analyst":
lab_analyst()
elif role == "Medicine Specialist":
medicine_specialist()
elif role == "Service Expert":
service_expert()
elif role == "Level of Care Expert":
care_expert()
elif role == "Terminology Expert":
terminology_expert()
elif role == "Chief Medical Officer":
cmo()
elif role == "Medical Director Team":
medical_director()
if __name__ == "__main__":
main()
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