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