Update app.py

app.py

@@ -1,74 +1,53 @@
+# app.py
+
 import streamlit as st
-from transformers import AutoModelForCausalLM, AutoTokenizer
-from google.cloud import dialogflow
-import kaleido
-import cohere
-import openai
-import tiktoken
-import tensorflow_probability as tfp
+from transformers import pipeline
+
+# Function to load Hugging Face models
+def load_model(model_name):
+    return pipeline("text-generation", model=model_name, device=0)  # Adjust the model type accordingly
 
-# Define model paths
-dialogflow_agent_path = "path/to/dialogflow_agent.json"
-journaling_model_path = "path/to/journaling_model.pt"
-llm_model_name = "gpt-j-6B"
+# Page 1: Welcome and Chatbot
+def page_welcome():
+    st.title("Welcome to Your Virtual Therapist")
+    st.write("Feel free to chat with our virtual therapist!")
 
-# Load models
-dialogflow_agent = dialogflow.Agent.from_json(dialogflow_agent_path)
-tokenizer = AutoTokenizer.from_pretrained(llm_model_name)
-llm_model = AutoModelForCausalLM.from_pretrained(llm_model_name)
+    # Load your preferred Hugging Face chatbot model
+    chatbot_model = load_model("your-chatbot-model-name")
 
-# Define emotion and topic choices
-emotions = ["Grateful", "Happy", "Sad", "Angry", "Anxious"]
-topics = ["Relationships", "Work", "Personal Growth", "Overall Wellbeing"]
+    user_input = st.text_input("You: ")
+    if user_input:
+        response = chatbot_model(user_input, max_length=50, num_return_sequences=1)[0]['generated_text']
+        st.text_area("Therapist:", response, height=100)
 
-# Define breathing exercises
-breathing_exercises = {
-    "4-7-8 Breathing": [4, 7, 8],
-    "Box Breathing": [4, 4, 4, 4],
-}
+# Page 2: Journaling
+def page_journaling():
+    st.title("Journaling Session")
+    st.write("Answer the following questions based on your preferences:")
 
-# Function to generate text with LLM
-def generate_text(prompt, num_beams=5):
-    input_ids = tokenizer(prompt, return_tensors="pt").input_ids
-    output_ids = llm_model.generate(input_ids, num_beams=num_beams)
-    return tokenizer.decode(output_ids[0])
+    # Add your journaling questions here
+    journaling_question = st.text_area("Question:", "How was your day?")
 
-# Define individual page functions
-def welcome_page():
-    user_input = st.text_input("Talk to the Therapist", placeholder="Start your conversation")
-    if user_input:
-        response = dialogflow_agent.text_query(user_input)
-        st.write(f"{welcome_message}\n\n{note}\n\n{response.query_result.fulfillment_text}")
+    # Process the user's response as needed
 
-def journaling_page():
-    emotion = st.radio("Choose your emotion", options=emotions)
-    topic = st.radio("Choose your topic", options=topics)
-    if emotion and topic:
-        prompt = f"Write about a time when you felt {emotion} about {topic}."
-        generated_text = generate_text(prompt)
-        st.write("Here are some personalized journaling prompts for you:")
-        for line in generated_text.split('\n'):
-            st.write(f"- {line}")
+# Page 3: Breathing Exercises
+def page_breathing_exercises():
+    st.title("Breathing Exercises")
+    st.write("Start your meditation with the breathing exercise timer:")
 
-def breathing_page():
-    exercise_name = st.radio("Choose your breathing exercise", options=list(breathing_exercises.keys()))
-    if exercise_name:
-        exercise = breathing_exercises[exercise_name]
-        st.write(f"You selected the {exercise_name} exercise.")
-        for duration in exercise:
-            st.write(f"{duration} seconds...")
-            time.sleep(duration)
-        st.write("Breathing exercise complete!")
+    # Add a timer or interactive element for breathing exercises
 
-# Streamlit app layout
-st.title("Flow: Self-Healing, Wellness, and Goal-Setting")
-st.write("Welcome to your journey towards self-healing, wellness, and goal achievement.")
+# Main App
+def main():
+    st.sidebar.title("Navigation")
+    selection = st.sidebar.radio("Go to", ["Welcome & Chatbot", "Journaling", "Breathing Exercises"])
 
-page_selection = st.sidebar.selectbox("Choose your page", options=["Welcome", "Journaling", "Breathing Exercises"])
+    if selection == "Welcome & Chatbot":
+        page_welcome()
+    elif selection == "Journaling":
+        page_journaling()
+    elif selection == "Breathing Exercises":
+        page_breathing_exercises()
 
-if page_selection == "Welcome":
-    welcome_page()
-elif page_selection == "Journaling":
-    journaling_page()
-elif page_selection == "Breathing Exercises":
-    breathing_page()
+if __name__ == "__main__":
+    main()