Update app.py

app.py

@@ -1,4 +1,8 @@
 import streamlit as st
+from transformers import AutoTokenizer
+from peft import PeftModel, PeftConfig
+from transformers import AutoModelForCausalLM
+from datasets import load_dataset
 
 # Replace with the direct image URL
 flower_image_url = "https://i.postimg.cc/hG2FG85D/2.png"
@@ -39,18 +43,55 @@ st.markdown(
 # Add the blurred background div
 st.markdown('<div class="blurred-background"></div>', unsafe_allow_html=True)
 
-# Streamlit UI elements
-st.title("Word Cloud Application")
-st.markdown("Welcome to the Word Cloud Application with a blurred, centered flower background!")
+# Load the fine-tuned model and tokenizer
+@st.cache_resource
+def load_model_and_tokenizer():
+    config = PeftConfig.from_pretrained("zementalist/llama-3-8B-chat-psychotherapist")
+    base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Meta-Llama-3-8B-Instruct")
+    model = PeftModel.from_pretrained(base_model, "zementalist/llama-3-8B-chat-psychotherapist")
+    tokenizer = AutoTokenizer.from_pretrained("meta-llama/Meta-Llama-3-8B-Instruct")
+    return model, tokenizer
 
-# Add some interactivity
-if st.button("Click Me"):
-    st.write("You clicked the button!")
+model, tokenizer = load_model_and_tokenizer()
 
-# Add a select box
-option = st.selectbox(
-    "Choose an option:",
-    ["Option 1", "Option 2", "Option 3"]
-)
+# Load dataset for reference (optional)
+@st.cache_resource
+def load_dataset_reference():
+    return load_dataset("Amod/mental_health_counseling_conversations")
+
+dataset = load_dataset_reference()
+
+# Streamlit App Configuration
+st.title("Mental Well-Being Support Application")
+st.markdown("""
+Welcome to the Mental Well-Being Support Application. This platform is designed to provide positive, supportive, and encouraging responses to your mental health concerns. Our responses are powered by a fine-tuned AI model based on expert psychologists' answers.
+""")
+
+# User Input Section
+st.header("Your Mental Health Journey")
+user_query = st.text_area("Please share your thoughts or questions:", placeholder="Write here...")
+
+# Generate AI Response
+if st.button("Get Supportive Response"):
+    if user_query.strip():
+        # Generate response
+        inputs = tokenizer(f"User: {user_query}\nAI:", return_tensors="pt")
+        outputs = model.generate(inputs.input_ids, max_length=200, temperature=0.7, num_return_sequences=1)
+        ai_response = tokenizer.decode(outputs[0], skip_special_tokens=True).split("AI:")[-1].strip()
+
+        # Display the response
+        st.subheader("Your Supportive Response:")
+        st.write(ai_response)
+    else:
+        st.error("Please enter a question or concern to get a response.")
+
+# Additional Resources Section
+st.sidebar.header("Resources")
+st.sidebar.markdown("""
+- [Mental Health Foundation](https://www.mentalhealth.org)
+- [Mind](https://www.mind.org.uk)
+- [National Suicide Prevention Lifeline](https://suicidepreventionlifeline.org)
+""")
 
-st.write(f"You selected: {option}")
+# Footer
+st.sidebar.info("This application is not a replacement for professional help. If you're in crisis, please contact a mental health professional.")