Create app.py
Browse files
app.py
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import streamlit as st
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from transformers import AutoModelForCausalLM, AutoTokenizer
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from google.cloud import dialogflow
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import kaleido
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import cohere
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import openai
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import tiktoken
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import tensorflow_probability as tfp
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# Define model paths
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dialogflow_agent_path = "path/to/dialogflow_agent.json"
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journaling_model_path = "path/to/journaling_model.pt"
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llm_model_name = "gpt-j-6B"
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# Load models
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dialogflow_agent = dialogflow.Agent.from_json(dialogflow_agent_path)
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tokenizer = AutoTokenizer.from_pretrained(llm_model_name)
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llm_model = AutoModelForCausalLM.from_pretrained(llm_model_name)
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# Define emotion and topic choices
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emotions = ["Grateful", "Happy", "Sad", "Angry", "Anxious"]
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topics = ["Relationships", "Work", "Personal Growth", "Overall Wellbeing"]
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# Define breathing exercises
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breathing_exercises = {
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"4-7-8 Breathing": [4, 7, 8],
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"Box Breathing": [4, 4, 4, 4],
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}
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# Function to generate text with LLM
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def generate_text(prompt, num_beams=5):
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input_ids = tokenizer(prompt, return_tensors="pt").input_ids
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output_ids = llm_model.generate(input_ids, num_beams=num_beams)
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return tokenizer.decode(output_ids[0])
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# Define individual page functions
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def welcome_page():
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user_input = st.text_input("Talk to the Therapist", placeholder="Start your conversation")
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if user_input:
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response = dialogflow_agent.text_query(user_input)
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st.write(f"{welcome_message}\n\n{note}\n\n{response.query_result.fulfillment_text}")
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def journaling_page():
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emotion = st.radio("Choose your emotion", options=emotions)
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topic = st.radio("Choose your topic", options=topics)
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if emotion and topic:
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prompt = f"Write about a time when you felt {emotion} about {topic}."
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generated_text = generate_text(prompt)
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st.write("Here are some personalized journaling prompts for you:")
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for line in generated_text.split('\n'):
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st.write(f"- {line}")
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def breathing_page():
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exercise_name = st.radio("Choose your breathing exercise", options=list(breathing_exercises.keys()))
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if exercise_name:
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exercise = breathing_exercises[exercise_name]
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st.write(f"You selected the {exercise_name} exercise.")
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for duration in exercise:
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st.write(f"{duration} seconds...")
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time.sleep(duration)
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st.write("Breathing exercise complete!")
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# Streamlit app layout
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st.title("Flow: Self-Healing, Wellness, and Goal-Setting")
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st.write("Welcome to your journey towards self-healing, wellness, and goal achievement.")
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page_selection = st.sidebar.selectbox("Choose your page", options=["Welcome", "Journaling", "Breathing Exercises"])
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if page_selection == "Welcome":
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welcome_page()
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elif page_selection == "Journaling":
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journaling_page()
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elif page_selection == "Breathing Exercises":
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breathing_page()
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