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Update app.py
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app.py
CHANGED
@@ -22,99 +22,95 @@ def get_personalized_advice(user_data):
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st.error(f"Error fetching advice from Groq: {str(e)}")
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return None
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"""Convert numerical stress level (0, 1, 2) to a string representation."""
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if stress_level == 0:
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return "Low"
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elif stress_level == 1:
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return "Moderate"
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else:
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return "High"
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# Chatbot interface for conversation-like experience
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def chatbot_interface():
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st.title("π Student Well-being Chatbot")
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st.write("Hello! Iβm here to assist you with well-being advice based on your responses.")
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# Initialize session state
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if 'messages' not in st.session_state:
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st.session_state.messages = [
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{"role": "bot", "content": "Hi there! I'm here to help with your well-being. Let's start! π"}
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]
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try:
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anxiety_level = int(
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if anxiety_level < 1 or anxiety_level > 10:
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raise ValueError
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st.session_state.user_data
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except ValueError:
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try:
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self_esteem = int(
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if self_esteem < 1 or self_esteem > 10:
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raise ValueError
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st.session_state.user_data['self_esteem'] = self_esteem
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except ValueError:
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st.session_state.user_data['stress_level'] = stress_level
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st.session_state.messages.append({"role": "bot", "content": "Thank you for providing the information! Let me get your personalized advice..."})
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# Get the advice from Groq API
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advice = get_personalized_advice(st.session_state.user_data)
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st.session_state.messages.append({"role": "bot", "content": advice or "I couldn't retrieve specific advice right now, but please check back later."})
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except ValueError:
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st.error("Please enter a valid number between 0 and 2 for stress level.")
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elif len(st.session_state.messages) == 6:
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st.session_state.messages.append({"role": "bot", "content": "Would you like to start over?"})
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# Display conversation history
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for message in st.session_state.messages:
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if message['role'] == 'bot':
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st.markdown(f"**Bot**: {message['content']}")
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else:
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st.markdown(f"**You**: {message['content']}")
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# User input field for chat interaction
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user_input = ""
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if len(st.session_state.messages) == 3:
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# Mental health history (checkbox options)
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mental_health_options = ["None", "Minor Issues", "Moderate Issues", "Severe Issues"]
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mental_health_history = st.multiselect("Select your mental health history:", mental_health_options)
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if mental_health_history:
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if len(st.session_state.messages) >= 6:
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restart_button = st.button("Start Over")
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if restart_button:
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st.session_state.
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# Main function to run the chatbot
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def main():
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st.error(f"Error fetching advice from Groq: {str(e)}")
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return None
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# Function for chatbot interaction
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def chatbot_interface():
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st.title("π Student Well-being Chatbot")
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st.write("Hello! Iβm here to assist you with well-being advice based on your responses.")
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# Initialize session state
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if 'step' not in st.session_state:
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st.session_state.step = 0
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st.session_state.user_data = {}
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def next_step():
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st.session_state.step += 1
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def show_input_error(message="Please provide a valid input."):
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st.error(message)
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return False
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# Step 0: Welcome message and initial question
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if st.session_state.step == 0:
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st.write("Bot: Hi there! I'm here to help with your well-being. Let's start! π")
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next_step_button = st.button("Start Chat")
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if next_step_button:
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next_step()
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# Step 1: Ask for anxiety level
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elif st.session_state.step == 1:
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st.write("Bot: On a scale of 1 to 10, how would you rate your anxiety level?")
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anxiety_level = st.text_input("Your Anxiety Level:", "")
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if anxiety_level:
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try:
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anxiety_level = int(anxiety_level)
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if anxiety_level < 1 or anxiety_level > 10:
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raise ValueError
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st.session_state.user_data['anxiety_level'] = anxiety_level
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next_step()
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except ValueError:
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show_input_error("Please enter a number between 1 and 10 for anxiety level.")
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# Step 2: Ask for self-esteem
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elif st.session_state.step == 2:
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st.write("Bot: On a scale of 1 to 10, how would you rate your self-esteem?")
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self_esteem = st.text_input("Your Self-Esteem Level:", "")
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if self_esteem:
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try:
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self_esteem = int(self_esteem)
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if self_esteem < 1 or self_esteem > 10:
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raise ValueError
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st.session_state.user_data['self_esteem'] = self_esteem
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next_step()
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except ValueError:
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show_input_error("Please enter a number between 1 and 10 for self-esteem.")
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# Step 3: Ask for mental health history
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elif st.session_state.step == 3:
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st.write("Bot: How would you describe your mental health history?")
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mental_health_history = st.multiselect(
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"Select your mental health history:",
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["None", "Minor Issues", "Moderate Issues", "Severe Issues"]
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)
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if mental_health_history:
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st.session_state.user_data['mental_health_history'] = ", ".join(mental_health_history)
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next_step()
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# Step 4: Ask for stress level
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elif st.session_state.step == 4:
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st.write("Bot: On a scale of 0 to 2, how would you rate your stress level?")
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stress_level = st.radio("Your Stress Level:", [0, 1, 2])
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st.session_state.user_data['stress_level'] = stress_level
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next_step()
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# Step 5: Show advice based on user input
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elif st.session_state.step == 5:
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st.write("Bot: Thank you for providing the information! Hereβs your personalized advice:")
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user_data = st.session_state.user_data
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st.write(f"Your data: {user_data}")
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# Fetch personalized advice from Groq
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st.subheader("π Here's Your Personalized Well-being Advice:")
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advice = get_personalized_advice(user_data)
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if advice:
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st.write(advice)
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else:
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st.write("I couldn't retrieve specific advice right now, but please check back later.")
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# Option to restart the chat
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restart_button = st.button("Start Over")
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if restart_button:
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st.session_state.step = 0
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st.session_state.user_data = {}
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# Main function to run the chatbot
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def main():
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