to ( 'cuda:0' ) class StopOnTokens (StoppingCriteria ) : def _call_ (self, input_ids : torch. from_pretrained ( "togethercomputer/RedPajama-INCITE-Chat-3B-v1", torch_dtype =torch. from_pretrained ( "togethercomputer/RedPajama-INCITE-Chat-3B-v1" ) Here’s the equivalent example using Together’s RedePajama model, from Hugging Face (this requires you to have a GPU with CUDA).įrom transformers import AutoModelForCausalLM, AutoTokenizer, StoppingCriteria, StoppingCriteriaList, TextIteratorStreamer ![]() Of course, in many cases you want to run a chatbot locally. launch ( ) Example using a local, open-source LLM with Hugging Face ![]() Partial_message = partial_message + chunk yield partial_message Partial_message = "" for chunk in response : if len (chunk ) != 0 : You can set the label of this accordion using the additional_inputs_accordion_name parameter.ĭef echo (message, history, system_prompt, tokens ) : If you pass in component instances, and they have not already been rendered, then the components will appear underneath the chatbot (and any examples) within a gr.Accordion(). You can pass the component instances directly, or use their string shortcuts (e.g. The additional_inputs parameters accepts a component or a list of components. The ChatInterface class supports an additional_inputs parameter which can be used to add additional input components. For example, suppose you want to add a textbox for a system prompt, or a slider that sets the number of tokens in the chatbot’s response. You may want to add additional parameters to your chatbot and expose them to your users through the Chatbot UI. Textbox (placeholder = "Ask me a yes or no question", container = False, scale = 7 ) ,ĭescription = "Ask Yes Man any question" ,Įxamples = ,Ĭlear_btn = "Clear", ). endswith ( "?" ) : return "Yes" else : return "Ask me anything!" Here’s an example of how we can use these parameters:ĭef yes_man (message, history ) : if message. If you want to customize the gr.Chatbot or gr.Textbox that compose the ChatInterface, then you can pass in your own chatbot or textbox as well. You can change the text or disable each of the buttons that appear in the chatbot interface: submit_btn, retry_btn, undo_btn, clear_btn.add examples and even enable cache_examples, which make it easier for users to try it out.add a theme or custom css using theme and css arguments respectively.add a title and description above your chatbot using title and description arguments.If you’re familiar with Gradio’s Interface class, the gr.ChatInterface includes many of the same arguments that you can use to customize the look and feel of your Chatbot. You can customize the appearance and behavior of the “Stop” button using the stop_btn parameter. While the response is streaming, the “Submit” button turns into a “Stop” button that can be used to stop the generator function. Notice that we’ve enabled queuing, which is required to use generator functions. ![]() sleep ( 0.3 ) yield "You typed: " + message Def slow_echo (message, history ) : for i in range ( len (message ) ) :
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