app.py

import os
import gradio as gr
from groq import Groq

client = Groq(api_key=os.environ.get("GROQ_API_KEY"))

SYSTEM_PROMPT = (
    "You are an expert in the UEFA Champions League. "
    "Provide structured and insightful responses about teams, players, coaches, tactics, "
    "group stages, knockout rounds, and match analysis."
)

def respond(message, history, model, temperature, max_tokens):

    messages = [{"role": "system", "content": SYSTEM_PROMPT}]

    for h in history:
        messages.append({"role": "user", "content": h[0]})
        if h[1]:
            messages.append({"role": "assistant", "content": h[1]})

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

    try:
        response = client.chat.completions.create(
            model=model,
            messages=messages,
            temperature=temperature,
            max_tokens=int(max_tokens),
        )
        return response.choices[0].message.content
    except Exception as e:
        return f"Error: {str(e)}"


demo = gr.ChatInterface(
    fn=respond,
    title="🏆 UEFA Champions League AI",
    description="Deep analysis, predictions, and insights for the Champions League.",
    additional_inputs=[
        gr.Dropdown(
            choices=[
                "llama-3.3-70b-versatile",
                "llama-3.1-8b-instant",
            ],
            value="llama-3.3-70b-versatile",
            label="Model",
            info="Select the AI model to use",
        ),
        gr.Slider(
            minimum=0.0,
            maximum=2.0,
            value=0.9,
            step=0.1,
            label="Temperature",
            info="Controls creativity vs accuracy",
        ),
        gr.Slider(
            minimum=256,
            maximum=8192,
            value=2048,
            step=256,
            label="Max Tokens",
            info="Maximum length of the response",
        ),
    ],
    examples=[
        ["Who are the favorites to win the Champions League this season?"],
        ["Analyze Real Madrid vs Bayern Munich tactically."],
        ["Which players are most decisive in knockout matches?"],
        ["Predict the outcome of the next Champions League final."],
    ],
)

if __name__ == "__main__":
    demo.launch(theme=gr.themes.Soft())