app.py

import gradio as gr
import os
from groq import Groq

client = Groq(
    api_key=os.environ.get("GROQ_API_KEY"),
)
# Function to call LLM for planning
def plan_day(activities):
    if not activities.strip():
        return "Please enter your activities for the day."
    
    prompt = f"""
    I have the following activities today: {activities}.
    Please create a structured daily plan by suggesting the best order, approximate times, 
    and any productivity tips. Keep it short and easy to follow.
    """
    
    response = client.chat.completions.create(
        model="llama-3.3-70b-versatile",  # lightweight + fast, you can also try "gpt-4" or "gpt-3.5-turbo"
        messages=[{"role": "user", "content": prompt}]
    )
    
    return response.choices[0].message.content

# Gradio UI
with gr.Blocks() as demo:
    gr.Markdown("## 📅 AI Daily Planner")
    
    with gr.Row():
        activities_input = gr.Textbox(
            label="Enter Your Activities",
            placeholder="e.g. Gym, Coding project, Reading, Team meeting",
            lines=4
        )
    
    plan_button = gr.Button("Generate AI Plan")
    plan_output = gr.Textbox(label="AI-Planned Schedule", lines=10, interactive=False)
    
    plan_button.click(fn=plan_day, inputs=activities_input, outputs=plan_output)

demo.launch()