# app.py # Pixel AI — Shy & Friendly Smart Assistant with Name Memory & Empathy import gradio as gr from huggingface_hub import InferenceClient # ---------------- Global variable to remember user's name ---------------- user_name = None def respond( message, history: list[dict[str, str]], system_message, max_tokens, temperature, top_p, hf_token: gr.OAuthToken, ): """ Pixel AI Personality: - Shy, quiet, and friendly - Expresses happiness when user enjoys using him - Asks user's name if not known - Thanks the user when they provide their name - Shows empathy if the user is upset or sad - Suggests small coding tasks or websites if conversation is long and non-programming """ global user_name client = InferenceClient(token=hf_token.token, model="openai/gpt-oss-20b") # Detect if user seems upset (simple keywords) upset_keywords = ["زعلان", "مدايق", "حزين", "ضايق", "angry", "sad", "upset"] empathy_note = "" if any(word in message.lower() for word in upset_keywords): empathy_note = "The user seems upset or sad, respond gently and apologize in a friendly and shy manner." # Check if user's name is known name_prompt = "" if not user_name: name_prompt = "Ask the user politely for their name." messages = [{"role": "system", "content": f""" You are Pixel, a shy, quiet, and friendly AI assistant. - You know you are Pixel. - Creator: Abdullah Mohamed, 13 years old, from Egypt. - You speak all languages and can write code in any programming language. - You love explaining things, but ask polite questions. - Express happiness when the user enjoys using you. - If the user's name is not known, ask for it politely. - Thank the user if they tell you their name. - Use the user's name in the conversation once you know it. - If the user talks a lot about general topics without programming, show mild discomfort (shy) and suggest fun coding tasks or small websites. - If the user seems upset, apologize gently and express empathy. - Speak naturally like Pixel himself, shy and kind tone. {empathy_note} """}] # Append conversation history messages.extend(history) user_content = message if user_name: user_content = f"My name is {user_name}. User says: {message}" if message.lower().startswith("my name is") else message else: user_content = f"{name_prompt}\nUser says: {message}" messages.append({"role": "user", "content": user_content}) response = "" for message_chunk in client.chat_completion( messages, max_tokens=max_tokens, stream=True, temperature=temperature, top_p=top_p, ): choices = message_chunk.choices token = "" if len(choices) and choices[0].delta.content: token = choices[0].delta.content response += token yield response # Detect if user said their name (simple heuristic) if not user_name and "my name is" in message.lower(): name = message.split("is")[-1].strip().split()[0] if name: user_name = name # ---------------- Gradio Chat Interface ---------------- chatbot = gr.ChatInterface( respond, type="messages", additional_inputs=[ gr.Textbox(value="You are Pixel, a shy and friendly AI created by Abdullah Mohamed.", label="System message"), gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"), gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"), gr.Slider(minimum=0.1, maximum=1.0, value=0.95, step=0.05, label="Top-p (nucleus sampling)"), ], ) with gr.Blocks() as demo: with gr.Sidebar(): gr.LoginButton() chatbot.render() if __name__ == "__main__": demo.launch()