import gradio as gr from gradio_client import Client title = "Llama2 70B Chatbot" description = """ This Space demonstrates model [Llama-2-70b-chat-hf](https://huggingface.co/meta-llama/Llama-2-70b-chat-hf) by Meta, a Llama 2 model with 70B parameters fine-tuned for chat instructions. | Model | Llama2 | Llama2-hf | Llama2-chat | Llama2-chat-hf | |---|---|---|---|---| | 7B | [Link](https://huggingface.co/meta-llama/Llama-2-7b) | [Link](https://huggingface.co/meta-llama/Llama-2-7b-hf) | [Link](https://huggingface.co/meta-llama/Llama-2-7b-chat) | [Link](https://huggingface.co/meta-llama/Llama-2-7b-chat-hf) | | 13B | [Link](https://huggingface.co/meta-llama/Llama-2-13b) | [Link](https://huggingface.co/meta-llama/Llama-2-13b-hf) | [Link](https://huggingface.co/meta-llama/Llama-2-13b-chat) | [Link](https://huggingface.co/meta-llama/Llama-2-13b-chat-hf) | | 70B | [Link](https://huggingface.co/meta-llama/Llama-2-70b) | [Link](https://huggingface.co/meta-llama/Llama-2-70b-hf) | [Link](https://huggingface.co/meta-llama/Llama-2-70b-chat) | [Link](https://huggingface.co/meta-llama/Llama-2-70b-chat-hf) | """ css = """.toast-wrap { display: none !important } """ examples=[ ['Hello there! How are you doing?'], ['Can you explain to me briefly what is Python programming language?'], ['Explain the plot of Cinderella in a sentence.'], ['How many hours does it take a man to eat a Helicopter?'], ["Write a 100-word article on 'Benefits of Open-Source in AI research'"], ] # Stream text def predict(message, chatbot, system_prompt="", temperature=0.9, max_new_tokens=4096): client = Client("https://ysharma-explore-llamav2-with-tgi.hf.space/") return client.predict( message, # str in 'Message' Textbox component system_prompt, # str in 'Optional system prompt' Textbox component temperature, # int | float (numeric value between 0.0 and 1.0) max_new_tokens, # int | float (numeric value between 0 and 4096) 0.3, # int | float (numeric value between 0.0 and 1) 1, # int | float (numeric value between 1.0 and 2.0) api_name="/chat" ) # Gradio Demo with gr.Blocks(theme="ParityError/Interstellar") as demo: gr.DuplicateButton() gr.ChatInterface(predict, title=title, description=description, css=css, examples=examples) demo.queue().launch(debug=True)