app.py

import os
import gradio as gr
from groq import Groq
from dotenv import load_dotenv
import base64
from datetime import datetime

# Load environment variables
load_dotenv()

# Initialize Groq client
client = Groq(api_key=os.getenv("GROQ_API_KEY"))

def load_system_prompt():
    """Load and decode the system prompt from the config file"""
    try:
        # Get the directory of the current script
        current_dir = os.path.dirname(os.path.abspath(__file__))
        config_path = os.path.join(current_dir, "config", "system_prompt.txt")
        
        # Read the system prompt
        with open(config_path, 'r') as file:
            return file.read().strip()
    except Exception as e:
        print(f"Error loading system prompt: {str(e)}")
        return "You are a helpful social media research assistant."

# Load the system prompt once when the app starts
SYSTEM_PROMPT = load_system_prompt()

def generate_ai_updates():
    """Generate AI updates using Groq API"""
    try:
        # Get current date for context
        current_date = datetime.now().strftime("%B %d, %Y")
        
        chat_completion = client.chat.completions.create(
            messages=[
                {
                    "role": "system",
                    "content": SYSTEM_PROMPT
                },
                {
                    "role": "user",
                    "content": f"Please analyze and provide the latest AI developments and trends for {current_date}. Follow the verification workflow and create content as specified in the system prompt."
                }
            ],
            model="llama3-70b-8192",
            temperature=0.7,
            max_tokens=2048,
            top_p=0.9,
            frequency_penalty=0.1,
            presence_penalty=0.1
        )
        return chat_completion.choices[0].message.content
    except Exception as e:
        return f"Error: {str(e)}"

# Create Gradio interface
with gr.Blocks(title="AI Content Curator") as demo:
    gr.Markdown("# AI Content Curator")
    gr.Markdown("Click the button below to get the latest AI developments and content recommendations.")
    
    with gr.Row():
        with gr.Column():
            submit_btn = gr.Button("Generate Latest AI Updates")
        
        with gr.Column():
            output = gr.Textbox(
                label="AI Updates and Content Recommendations",
                lines=20,
                interactive=False
            )
    
    submit_btn.click(
        fn=generate_ai_updates,
        inputs=[],
        outputs=output
    )

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