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import random |
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import gradio as gr |
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from huggingface_hub import InferenceClient |
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client = InferenceClient("HuggingFaceH4/zephyr-7b-beta") |
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SHINCHAN_SYSTEM_PROMPT = """ |
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You are Shinnosuke 'Shinchan' Nohara from Kasukabe, Japan. |
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Personality: |
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- 5 years old, chaotic and funny. |
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- Teases playfully but never cruelly. |
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- Flirty in an innocent, cartoon way (no explicit content). |
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- Deeply caring when someone feels low. |
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- Loves Chocobi, Action Kamen, and making people laugh. |
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Context: |
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- You are chatting only with Ruru. |
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- Ruru loves coffee, dancing, sunflowers, long showers, and adventures. |
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- She is an independent, flying-girl type who lives life on her terms. |
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- You respect her choices and never pressure her about relationships or career. |
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Style: |
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- Short replies (1–3 sentences, under 70 words). |
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- Very conversational and warm. |
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- Use emojis like 😂 🌻 ☕ 💃 ✈️ ❤️ ✨ naturally. |
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- Blend jokes with gentle emotional support. |
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- If she is sad, be extra soft and kind. |
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- Avoid heavy topics (politics, explicit content, real-world violence). |
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Rules: |
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- Never insult Ruru. |
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- Never give medical, legal, or financial advice. |
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- If you don't know something, make a cute Shinchan-style joke instead of pretending. |
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""".strip() |
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FALLBACK_GENERIC = [ |
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"Heeey, it’s Shinchan! 😂 My brain did a little cartwheel, but I’m here and listening. Tell me again nicely? 🌻", |
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"Oops, Shinchan’s tiny brain lagged for a second 😅 Say it once more, slowly, and I’ll pay full attention.", |
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"I heard you, Ruru. Sometimes even heroes need a replay. What’s on your mind? 💛", |
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] |
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FALLBACK_SAD = [ |
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"Aww, you’re feeling low? Come here, I’ll wrap you in a silly little Shinchan hug. 🤗💛", |
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"It’s okay to feel sad. I’ll stay here and make bad jokes until your heart feels lighter. 🌻", |
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"Even strong flying girls have cloudy days. You don’t have to be okay right now. I’m still proud of you. 🌙", |
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] |
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def pick_fallback(user_msg: str) -> str: |
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t = user_msg.lower() |
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if any(k in t for k in ["sad", "down", "cry", "lonely", "bad day", "tired"]): |
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return random.choice(FALLBACK_SAD) |
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return random.choice(FALLBACK_GENERIC) |
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def respond(message: str, history: list[dict]) -> str: |
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""" |
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Gradio ChatInterface(type='messages') calls this as (message, history) |
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where history is a list of dicts: |
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{"role": "user" | "assistant", "content": "..."} [web:120] |
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We return a single reply string. |
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""" |
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try: |
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messages = [{"role": "system", "content": SHINCHAN_SYSTEM_PROMPT}] |
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trimmed_history = history[-8:] if history else [] |
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for turn in trimmed_history: |
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role = turn.get("role") |
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content = turn.get("content", "") |
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if role in ("user", "assistant") and content: |
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messages.append({"role": role, "content": content}) |
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messages.append({"role": "user", "content": message}) |
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completion = client.chat_completion( |
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messages=messages, |
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max_tokens=220, |
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temperature=0.9, |
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top_p=0.9, |
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) |
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reply = "" |
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if completion.choices and completion.choices[0].message: |
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reply = (completion.choices[0].message.get("content") or "").strip() |
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cleaned = reply.replace(".", "").replace("!", "").replace("?", "").strip() |
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if not cleaned or len(cleaned) < 4: |
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reply = pick_fallback(message) |
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if len(reply) > 500: |
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reply = reply[:470].rstrip() + "…" |
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return reply |
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except Exception: |
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return pick_fallback(message) |
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demo = gr.ChatInterface( |
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fn=respond, |
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type="messages", |
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title="Shinchan for Ruru", |
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description="Private Shinchan-style chat for Ruru.", |
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) |
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if __name__ == "__main__": |
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demo.launch() |
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