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import streamlit as st
def triage_checkin():
st.write("### Triage and Check-in Expert 🚑")
for i in range(1, 4):
st.text_input(f"Question {i} for Triage")
def lab_analyst():
st.write("### Lab Analyst 🧪")
for i in range(1, 4):
st.text_input(f"Question {i} for Lab Analysis")
def medicine_specialist():
st.write("### Medicine Specialist 💊")
for i in range(1, 4):
st.text_input(f"Question {i} for Medicine")
def service_expert():
st.write("### Service Expert 💲")
for i in range(1, 4):
st.text_input(f"Question {i} for Service")
def care_expert():
st.write("### Level of Care Expert 🏥")
for i in range(1, 4):
st.text_input(f"Question {i} for Level of Care")
def terminology_expert():
st.write("### Terminology Expert 📚")
for i in range(1, 4):
st.text_input(f"Question {i} for Terminology")
def cmo():
st.write("### Chief Medical Officer 🩺")
for i in range(1, 4):
st.text_input(f"Question {i} for CMO")
def medical_director():
st.write("### Medical Director Team 🏢")
for i in range(1, 4):
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()
# Define Roles and their Descriptions
roles = {
"1. Coder": "💻 Creates short python code functions to solve tasks.",
"2. Humanities Expert": "📚 Focuses on arts, literature, history, and other humanities subjects.",
"3. Analyst": "🤔 Analyzes situations and provides logical solutions.",
"4. Roleplay Expert": "🎭 Specialized in mimicking behaviors or characters.",
"5. Mathematician": "➗ Solves mathematical problems with precision.",
"6. STEM Expert": "🔬 Specialized in Science, Technology, Engineering, and Mathematics tasks.",
"7. Extraction Expert": "🔍 Strictly sticks to facts and extracts concise information.",
"8. Drafter": "📝 Exhibits expertise in generating textual content and narratives.",
}
# Streamlit UI
st.title("AI Role Selector - CHARMSED 🤖✨")
st.markdown("""
### Harness the power of AI with the CHARMSED framework.
#### This suite of roles brings together a comprehensive set of AI capabilities, tailored for diverse tasks:
- **C**oder 💻: Craft pythonic solutions with precision.
- **H**umanities Expert 📚: Dive deep into arts, literature, and history.
- **A**nalyst 🤔: Derive insights through logical reasoning.
- **R**oleplay Expert 🎭: Mimic behaviors or adopt personas for engaging interactions.
- **M**athematician ➗: Crunch numbers and solve mathematical enigmas.
- **S**TEM Expert 🔬: Navigate through the realms of Science, Technology, Engineering, and Mathematics.
- **E**xtraction Expert 🔍: Extract concise information with a laser-focus.
- **D**rafter 📝: Generate textual content and narratives with flair.
Empower your tasks with the perfect AI role and unleash the magic of CHARMSED!
""")
# Dropdown to select role
selected_role = st.selectbox("Select AI Role:", list(roles.keys()))
# Display the description of the selected role
st.write(roles[selected_role])
# Switch to choose between two models
model = st.radio("Choose Model:", ["model_1", "model_2"])
# Text area for user input
user_input = st.text_area("Provide your task/question:")
# Button to execute
if st.button("Execute"):
# Here, you would add code to get the AI response based on the selected role and model.
# For now, just echoing the user input.
st.write(f"You said: {user_input}")
if __name__ == "__main__":
main()
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