import gradio as gr from transformers import pipeline # 1. Model Logic - Mapping personas to specialized coding models MODELS = { "ZewAI 3 (Core)": "microsoft/phi-2", "ZewAI 3 (Python Pro)": "Salesforce/codet5p-220m", "ZewAI 3 (Web Master)": "bigcode/starcoder2-3b", "ZewAI 3 (The AI itself)": "Zakomako4567/ZewAI_3.9_Code" # FIXED Syntax Error here } def chat_engine(message, history, model_choice): # Added trust_remote_code=True for custom model compatibility pipe = pipeline("text-generation", model=MODELS[model_choice], trust_remote_code=True) prompt = f"System: You are {model_choice}, the flagship AI of Zakomako4567. Use clean code and detailed logic.\n" for turn in history: role = turn['role'] content = turn['content'] if role == 'user': prompt += f"User: {content}\n" else: prompt += f"AI: {content}\n" prompt += f"User: {message}\nAI:" res = pipe(prompt, max_new_tokens=512, do_sample=True, temperature=0.7)[0]['generated_text'] return res.split("AI:")[-1].strip() # Advanced CSS for the ZewAI "Premium" look custom_css = """ footer {visibility: hidden} .gradio-container { background: #050505 !important; color: white !important; } #title-header { text-align: center; padding: 20px; border-bottom: 2px solid #1e293b; } .app-card { background: #111827; padding: 15px; border-radius: 12px; text-align: center; border: 1px solid #374151; transition: 0.3s; } .app-card:hover { border-color: #3b82f6; transform: translateY(-3px); } """ # 2. Building the Workspace with gr.Blocks() as demo: with gr.Column(elem_id="title-header"): gr.Markdown(f"# 🚀 ZewAI 3 by @Zakomako4567") gr.Markdown("The flagship coding AI for the ZewpolOS ecosystem.") with gr.Row(): with gr.Column(scale=1, variant="panel"): gr.Markdown("### 👤 User Account") gr.LoginButton() gr.Markdown("---") gr.Markdown("### 🧠 Neural Presets") model_dropdown = gr.Dropdown( choices=list(MODELS.keys()), value="ZewAI 3 (Core)", label="Active Brain" ) gr.Markdown("---") gr.Markdown("### 🔗 Zewpol Ecosystem") with gr.Row(): gr.HTML('
') gr.HTML('') with gr.Column(scale=4): gr.ChatInterface( fn=chat_engine, additional_inputs=[model_dropdown], examples=[ ["Build a Python web scraper", "ZewAI 3 (Core)"], ["Explain ZewML logic", "ZewAI 3 (Core)"], ["Write a C kernel loop for ZewpolOS", "ZewAI 3 (Python Pro)"] ], ) if __name__ == "__main__": demo.launch( css=custom_css, theme=gr.themes.Default(primary_hue="blue", secondary_hue="slate") )