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import streamlit as st
from huggingface_hub import InferenceClient
client = InferenceClient("mistralai/Mistral-7B-Instruct-v0.1")
class GroupTherapyAgent:
def __init__(self, client):
self.client = client
self.max_length = 64
def get_response(self, user_question):
response = self.client(text=user_question, max_length=self.max_length, num_beams=4)
return response[0]['generated_text']
class GroupTherapyApplication:
def __init__(self, client):
self.agents = [GroupTherapyAgent(client) for _ in range(4)]
def get_advice(self, user_question):
advice = []
for agent in self.agents:
response = agent.get_response(user_question)
advice.append(response)
return advice
app = GroupTherapyApplication(client)
advice = app.get_advice("I feel anxious when I have to speak in front of a group of people.")
print(f"Advice from Agents:\n{advice}")
# Streamlit App Layout
st.title("Group Therapy Session App")
# User question input
user_question = st.text_area("Enter your question or share your experience:", height=150)
# Button to submit question
if st.button("Get Advice"):
if user_question:
# Call to the GroupTherapyApplication to get real responses
responses = app.get_advice(user_question)
for idx, response in enumerate(responses, start=1):
st.markdown(f"**Agent {idx}:** {response}")
else:
st.warning("Please enter a question or experience to share.")
# Footer
st.markdown("---")
st.caption("Disclaimer: The responses are simulated and for demonstration purposes only.")
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