Update app.py
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app.py
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# app.py
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!pip install transformers
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import streamlit as st
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from transformers import pipeline
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# Function to load Hugging Face models
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def load_model():
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return pipeline("conversational", model="alpindale/goliath-120b")
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# Page 1: Welcome and Chatbot
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def page_welcome():
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st.title("Welcome to Your Virtual Therapist")
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st.write("Feel free to chat with our virtual therapist!")
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# Load the provided Hugging Face chatbot model
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chatbot_model = load_model()
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st.text_area("Therapist:", response, height=100)
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# Page
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def
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st.title("
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st.write("
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# Add your journaling questions here
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journaling_question = st.text_area("Question:", "How was your day?")
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# Process the user's response as needed
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#
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st.write("Start your meditation with the breathing exercise timer:")
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#
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#
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def
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st.
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page_breathing_exercises()
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if __name__ == "__main__":
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main()
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import streamlit as st
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# Function to generate a message
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def generate_message():
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return "Hello, this is a generated message!"
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# Main Page
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def main():
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st.title("Main Page")
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st.write("Welcome to the Main Page! Click the buttons below.")
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# Button to open a new page
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if st.button("Open New Page"):
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open_new_page()
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# Button to generate and show a message
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if st.button("Generate Message"):
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generate_and_show_message()
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# Function to open a new page
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def open_new_page():
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st.title("New Page")
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st.write("This is the New Page!")
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# Function to generate and show a message
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def generate_and_show_message():
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message = generate_message()
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st.title("Generated Message")
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st.write(f"This message was generated: {message}")
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if __name__ == "__main__":
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main()
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