app.py

import gradio as gr
from huggingface_hub import InferenceClient
import os

# ==============================================================================
# 🚀 NITHIN-1: SERVERLESS AGI (Fixed & Updated)
# ==============================================================================

# 1. SETUP CLIENTS
token = os.getenv("HF_TOKEN")

# TEXT BRAIN: Switched to Mistral-7B-Instruct-v0.3 (Latest & Best Free Model)
# This model supports the "Chat" format perfectly.
text_client = InferenceClient(
    "mistralai/Mistral-7B-Instruct-v0.3",
    token=token
)

# IMAGE EYES: Stable Diffusion XL
image_client = InferenceClient(
    "stabilityai/stable-diffusion-xl-base-1.0", 
    token=token
)

# 2. THE BRAIN LOGIC
def nithin_agi(message, history):
    # A. IMAGE DETECTION
    triggers = ["draw", "generate", "image", "photo", "paint", "picture"]
    if any(word in message.lower() for word in triggers):
        return "🎨 I am generating your image... Please check the 'Image Engine' tab!"
    
    # B. TEXT GENERATION (Conversational Mode)
    system_prompt = "You are Nithin-1, an advanced AI created by Nithin. Be helpful, smart, and concise."
    
    # New Logic: Using 'chat_completion' instead of 'text_generation'
    messages = [
        {"role": "system", "content": system_prompt},
        {"role": "user", "content": message}
    ]
    
    partial_message = ""
    try:
        # Streaming the response correctly
        stream = text_client.chat_completion(messages, max_tokens=512, stream=True)
        
        for chunk in stream:
            # Extracting content from the new format
            if chunk.choices and chunk.choices[0].delta.content:
                content = chunk.choices[0].delta.content
                partial_message += content
                yield partial_message
                
    except Exception as e:
        yield f"⚠️ Brain Error: {str(e)}\n\n(Tip: Check if your HF_TOKEN is valid in Settings)"

# 3. THE IMAGE LOGIC
def generate_image(prompt):
    if not token:
        return None
    try:
        image = image_client.text_to_image(prompt + ", high quality, 8k, masterpiece")
        return image
    except Exception as e:
        print(f"Error: {e}")
        return None

# ==============================================================================
# 🎨 THE UI
# ==============================================================================

with gr.Blocks(theme="soft") as demo:
    gr.Markdown("# ⚡ NITHIN-1 AGI")
    gr.Markdown("### Autonomous Super Intelligence | 24/7 Online")
    
    with gr.Tab("💬 Chat"):
        gr.ChatInterface(
            fn=nithin_agi,
            examples=["Who are you?", "Write Python code for a snake game", "Explain Black Holes"],
            cache_examples=False
        )
        
    with gr.Tab("🎨 Image Engine"):
        gr.Markdown("Enter a prompt to generate 8K Art.")
        with gr.Row():
            img_input = gr.Textbox(label="Prompt", placeholder="A futuristic cyberpunk city...")
            img_btn = gr.Button("Generate 🚀", variant="primary")
        
        img_output = gr.Image(label="Output")
        img_btn.click(generate_image, inputs=img_input, outputs=img_output)

# Launch
demo.queue().launch()