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| # 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() | |