app.py

import gradio as gr
from llama_cpp import Llama
from huggingface_hub import hf_hub_download
import os

# --- MODEL DOWNLOAD (Llama-3-8B) ---
repo_id = "bartowski/Meta-Llama-3-8B-Instruct-GGUF"
filename = "Meta-Llama-3-8B-Instruct-Q4_K_M.gguf"
model_path = "ai.gguf"

if not os.path.exists(model_path):
    print("Downloading International Llama-3 model...")
    downloaded_path = hf_hub_download(repo_id=repo_id, filename=filename)
    os.rename(downloaded_path, model_path)

# --- LOAD MODEL ---
llm = Llama(model_path=model_path, n_ctx=4096, n_threads=4, chat_format="llama-3")

def sam_chat(message, history):
    messages = [{"role": "system", "content": "You are SAM, a VIP International AI developed by Samahir Studio Production. Provide professional and sharp answers."}]
    for human, assistant in history:
        messages.append({"role": "user", "content": human})
        messages.append({"role": "assistant", "content": assistant})
    messages.append({"role": "user", "content": message})
    
    response = llm.create_chat_completion(messages=messages, max_tokens=1024, stream=False)
    return response['choices'][0]['message']['content']

# --- MODERN UI DESIGN (ChatGPT Style) ---
custom_css = """
.gradio-container { background-color: #ffffff !important; font-family: 'Inter', sans-serif !important; }
.message-row.user { background-color: #f7f7f8 !important; border-bottom: 1px solid #e5e5e5; }
.message-row.bot { background-color: #ffffff !important; border-bottom: 1px solid #e5e5e5; }
#title { text-align: center; margin-bottom: 20px; color: #333; }
.dark .gradio-container { background-color: #343541 !important; color: white; }
"""

with gr.Blocks(css=custom_css, theme=gr.themes.Default(spacing_size="sm", radius_size="lg")) as demo:
    gr.Markdown("# 💎 SAM INTERNATIONAL AI", elem_id="title")
    gr.Markdown("#### Developed by **Samahir Studio Production**", elem_id="title")
    
    # API access is enabled by default in Gradio ChatInterface
    chat = gr.ChatInterface(
        fn=sam_chat,
        type="messages",
        description="International Level AI ready for your commands.",
    )

if __name__ == "__main__":
    # api_name="chat" helps identify the endpoint for external apps
    demo.launch(server_name="0.0.0.0", server_port=7860, show_api=True)