import gradio as gr gr.load("models/dima806/indian_food_image_detection").launch() min-height: 300px; }""" ) as demo: gr.HTML(TITLE) with gr.Row(): with gr.Column(): gr.Image("home-banner.jpg", elem_id="banner-image", show_label=False) with gr.Column(): gr.Markdown( """**Chat with [Falcon-40B-Instruct](https://huggingface.co./tiiuae/falcon-40b-instruct), brainstorm ideas, discuss your holiday plans, and more!** ✨ This demo is powered by [Falcon-40B](https://huggingface.co./tiiuae/falcon-40b), finetuned on the [Baize](https://github.com/project-baize/baize-chatbot) dataset, and running with [Text Generation Inference](https://github.com/huggingface/text-generation-inference). [Falcon-40B](https://huggingface.co./tiiuae/falcon-40b) is a state-of-the-art large language model built by the [Technology Innovation Institute](https://www.tii.ae) in Abu Dhabi. It is trained on 1 trillion tokens (including [RefinedWeb](https://huggingface.co./datasets/tiiuae/falcon-refinedweb)) and available under the Apache 2.0 license. It currently holds the 🥇 1st place on the [🤗 Open LLM leaderboard](https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard). This demo is made available by the [HuggingFace H4 team](https://huggingface.co./HuggingFaceH4). 🧪 This is only a **first experimental preview**: the [H4 team](https://huggingface.co./HuggingFaceH4) intends to provide increasingly capable versions of Falcon Chat in the future, based on improved datasets and RLHF/RLAIF. 👀 **Learn more about Falcon LLM:** [falconllm.tii.ae](https://falconllm.tii.ae/) ➡️️ **Intended Use**: this demo is intended to showcase an early finetuning of [Falcon-40B](https://huggingface.co./tiiuae/falcon-40b), to illustrate the impact (and limitations) of finetuning on a dataset of conversations and instructions. We encourage the community to further build upon the base model, and to create even better instruct/chat versions! ⚠️ **Limitations**: the model can and will produce factually incorrect information, hallucinating facts and actions. As it has not undergone any advanced tuning/alignment, it can produce problematic outputs, especially if prompted to do so. Finally, this demo is limited to a session length of about 1,000 words. """ ) chat(client) return demo