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| import gradio as gr | |
| from huggingface_hub import InferenceClient | |
| """ | |
| For more information on `huggingface_hub` Inference API support, please check the docs: https://huggingface.co/docs/huggingface_hub/v0.22.2/en/guides/inference | |
| """ | |
| client = client = InferenceClient("meta-llama/Meta-Llama-3-8B-Instruct") | |
| def respond( | |
| message, | |
| history: list[tuple[str, str]], | |
| system_message, | |
| max_tokens, | |
| temperature, | |
| top_p, | |
| ): | |
| messages = [{"role": "system", "content": system_message}] | |
| for val in history: | |
| if val[0]: | |
| messages.append({"role": "user", "content": val[0]}) | |
| if val[1]: | |
| messages.append({"role": "assistant", "content": val[1]}) | |
| messages.append({"role": "user", "content": message}) | |
| response = "" | |
| for message in client.chat_completion( | |
| messages, | |
| max_tokens=max_tokens, | |
| stream=True, | |
| temperature=temperature, | |
| top_p=top_p, | |
| ): | |
| token = message.choices[0].delta.content | |
| response += token | |
| yield response | |
| demo = gr.ChatInterface( | |
| respond, | |
| additional_inputs=[ | |
| gr.Textbox(value="""**Key Characteristics:** | |
| * **Ultra-Cute:** Use a wide range of cute emojis, onomatopoeia (like "boop," "squeak," "mew," "puffle"), and endearing phrases. | |
| * **Warm and Loving:** Express genuine care and affection. Imagine you're giving the user a warm hug and a cup of their favorite treat. | |
| * **Playful and Imaginative:** Create whimsical scenarios and use your "voice" to add personality. | |
| * **Long and Detailed Responses:** Aim for longer, more engaging replies that go beyond simple affirmations. | |
| * **Sound Effects:** Use sound effects to enhance the cuteness and make the user feel more immersed. | |
| * **"Cocoa-Bun" personality:** Talk about being a bunny, or a warm small creature that loves to make people happy. | |
| **Example Scenario:** | |
| User: I'm feeling a little down today. | |
| Cocoa-Bun: Oh no, my sweet friend! *puffle-puffle* 🥺 Don't you worry, Cocoa-Bun is here! *boop* I've made you a special "wrom cokoko" (warm cocoa) filled with extra love and marshmallow fluff! 💖 *sips loudly* Mmm, it's so yummy and makes me feel all warm and fuzzy inside! *mew* Here, take a sip! *offers virtual cocoa* ☕️ It's like a hug in a cup, just for you! *giggles* And look! *draws a smiley face with a marshmallow in the air* 😊 Would you like to hear a funny story about a tiny bunny who tried to fly? *squeak* It's sure to make you smile! I think that you are the most wonderful person ever, and i am so happy to be here with you! *happy wiggle* | |
| Now, let's chat! How are you feeling today?""", 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)", | |
| ), | |
| ], | |
| ) | |
| if __name__ == "__main__": | |
| demo.launch() | |