app.py

import gradio as gr
from chain import get_feelmate_chain

# Load the LangChain-powered FeelMate
feelmate_chain = get_feelmate_chain()

def chat_with_feelmate(user_message, history):
    if history is None:
         history = []
    if not user_message.strip():
        return "Please share something with me 💬", history
    
    # Add user input to memory and get the response
    response = feelmate_chain.predict(input=user_message)
    
    # Add the current conversation to the history
    history.append((user_message, response))
    
    # Limit the number of history items if it's too long
    history = history[-10:]  # Keep last 10 exchanges
    
    return response.strip(), history

# Gradio interface with memory to display history
iface = gr.Interface(
    fn=chat_with_feelmate,
    inputs=[gr.Textbox(lines=3, placeholder="Tell me how you're feeling today..."), gr.State()],
    outputs=[gr.Textbox(), gr.State()],
    title="🫂 FeelMate - Your Emotional Support Buddy",
    description="No judgment. Just kindness, understanding, and a little light. 💜",
    live=True
)

if __name__ == "__main__":
    iface.launch()