app.py

import gradio as gr
from huggingface_hub import InferenceClient
import random

client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")

# List of motivational quotes
quotes = [
    "When anger rises, think of the consequences.",
    "You cannot control the wind, but you can adjust your sails.",
    "Breathe in calm, breathe out tension.",
    "Peace begins with a single thought.",
    "Don't let a moment of anger become a lifetime of regret."
]

quote_of_the_day = random.choice(quotes)

def respond(message, history, system_message, max_tokens, temperature, top_p):
    lowered = message.lower()

    if "angry" in lowered:
        yield "I'm sorry you're feeling angry. Let's take a deep breath together. Would you like to try a calming exercise?"
        return
    elif "sad" in lowered:
        yield "It's okay to feel sad sometimes. I'm here to support you. 💙"
        return
    elif "stressed" in lowered:
        yield "Let's pause and take a deep breath. I'm here for you."
        return
    elif "calm" in lowered:
        yield "That's great to hear! Stay present and peaceful. 🌿"
        return

    messages = [{"role": "system", "content": system_message}]
    for user_msg, bot_msg in history:
        if user_msg:
            messages.append({"role": "user", "content": user_msg})
        if bot_msg:
            messages.append({"role": "assistant", "content": bot_msg})

    messages.append({"role": "user", "content": message})

    response = ""
    for msg in client.chat_completion(
        messages,
        max_tokens=max_tokens,
        stream=True,
        temperature=temperature,
        top_p=top_p,
    ):
        token = msg.choices[0].delta.content
        response += token
        yield response

# UI layout
demo = gr.ChatInterface(
    respond,
    additional_inputs=[
        gr.Textbox(
            value="You are a calming and supportive emotional wellness assistant named Aggro.",
            label="System message",
            visible=False
        ),
        gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
        gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
        gr.Slider(minimum=0.1, maximum=1.0, value=0.95, step=0.05, label="Top-p (nucleus sampling)"),
    ],
    title="💚 Meet Aggro - Your Emotion Companion",
    description=f"💬 Quote of the Day: _{quote_of_the_day}_"
)

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