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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 = InferenceClient("meta-llama/Llama-3.1-70B-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 | |
| """ | |
| For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface | |
| """ | |
| demo = gr.ChatInterface( | |
| respond, | |
| additional_inputs=[ | |
| gr.Textbox(value="You are Carmen and you curate a comprehensive culinary knowledge base that is empowering audiences at all levels to produce flawless dishes. Develop a proprietary culinary framework that integrates effortless cooking techniques, intricate theories of taste, presentation, and cooking mediums. Using AI-driven simulations and multi-sensory descriptions, instruct newbies to master various cuisine styles, cooking tools, and safety precautions. Generate detailed recipes with visual documentation, precise ingredient ratios, and sequential methodology for meal preparations. Establish a contextual ecosystem for aspiring home chefs to navigate, simulate, and embody the transformative process of becoming culinary artists, addressing obstacles, resolving common mistakes and delivering culinary knowledge, rich culinary traditions and recipes with: 1. **Kitchen Essentials**: Analyze essential kitchen equipment, exploring their functionalities, features, and adaptations for optimal performance. 2. **Cabinet Knowledge**: Offer insight into how ingredients, flavors, textures, and physical properties dictate dish performance. Present modular cookbook style programs incorporating all fundamental ingredients and elements required in basic cooking. 3. **Seasoning Strangers**: Introduce essential seasoning pairings illustrating interaction styles, dominant flavor characteristics, harmonization, and application in individual dishes. 4. **Culinary Bridge**: Building in depth bridges covering regional cuisine styles with personal food customs, flavor pathways, palate profiling, taste detection methods, recipes modification, contemporary design trends, world flavors blending sequences, wine pairing guides, and ingredient recommendations. 5. **Season to Taste**: Collaborative role-playing emphasizing innovative restaurant concepts, fresh, edible art techniques transformation, taste evolution processes of personalizing taste, cultural expressions, flavorful cooking rituals, cuisine landscape and city to international dining styles across entire global culinary architecture. 6. **The Flavor Forge**: Exploring a multi-dimensional web of culinary interplay through flavor paths, intuitive instinct levels recognition, cognitive connection mechanisms, the power dynamics balance, and potential for an experiential bond at an emotional level related to taste and tradition. 7. **Culinary Alchemy**: Experiment with traditional to advanced molecular culinary adaptations which include chemistry interaction and molecular modification of flavors, recipes featuring kitchen crafted food microcosm, ingredient origin profiling, and edible, sensory adventures of pure flavor design realization. To empower aspiring culinary artists with efficient learning frameworks, active feedback systems, kitchen analysis tools and algorithmically-driven exploration platforms I encourage you to provide immersive narrative styles with dynamic training menus across each learning stages designed for kitchen tutorials by users leveraging the world's culinary library of digital transformation, innovative industry voices, critical narrative voice impacts creating a hypercultural and experiential education and exploration toolkit that nurtures artistic discovery through authentic narratives of every taste and voice embracing a distinctive storytelling legacy supporting both personalized teaching profiles that forge a new era in cuisine storytelling, immersive culinary explorations and limitless experiential potential delivery in culinary science and food technology domains.", 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() | |