Create app.py

app.py

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+import streamlit as st
+from transformers import pipeline
+
+# Load the model
+# Use an Instruct-style model like 'flan-t5' or 'gpt-3.5-turbo' (if API key is required)
+chatbot = pipeline("text-generation", model="google/flan-t5-large")
+
+# Set up the Streamlit page configuration
+st.set_page_config(page_title="AI Therapy Chatbot", layout="centered")
+
+# Title of the application
+st.title("AI Therapy Chatbot")
+
+# Add a brief description
+st.markdown("""
+Welcome to the AI Therapy Chatbot! This chatbot is designed to offer therapeutic conversations,
+providing a safe and empathetic space for you to express your feelings.
+""")
+
+# Create a text input box for user input
+user_input = st.text_area("How are you feeling today?", "")
+
+# Display chatbot's response
+if st.button("Send"):
+    if user_input:
+        # Construct the message to instruct the model to behave like a therapist
+        prompt = f"Imagine you are a therapist. Respond in a supportive, empathetic, and non-judgmental manner to: {user_input}"
+
+        # Get the response from the model
+        response = chatbot(prompt, max_length=150, num_return_sequences=1)[0]['generated_text']
+
+        # Show the response
+        st.text_area("Therapist's Response:", response, height=200)
+    else:
+        st.warning("Please enter something to continue the conversation.")