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| from huggingface_hub import InferenceClient | |
| import gradio as gr | |
| client = InferenceClient( | |
| "mistralai/Mixtral-8x7B-Instruct-v0.1" | |
| ) | |
| # Formats the prompt to hold all of the past messages | |
| def format_prompt(message, history): | |
| prompt = "<s>" | |
| # String to add before every prompt | |
| prompt_prefix = "Correct any grammatical errors in the following sentence and provide the corrected version:\n\nSentence: " | |
| prompt_template = "[INST] " + prompt_prefix + ' "{}" [/INST] Corrected Sentence:' | |
| myList = [["It is my friends house in England.", "It is my friend's house in England."], ["Every girl must bring their books to school.", "Every girl must bring her books to school."]] + history | |
| # Iterates through every past user input and response to be added to the prompt | |
| for user_prompt, bot_response in myList: | |
| prompt += prompt_template.format(user_prompt) | |
| prompt += f" {bot_response}</s> " | |
| prompt += prompt_template.format(message) | |
| print("PROMPT: \n\t{}\n".format(prompt)) | |
| return prompt | |
| def generate(prompt, history, system_prompt, temperature=0.9, max_new_tokens=256, top_p=0.95, repetition_penalty=1.0): | |
| print("\n\nSystem Prompt: '{}'".format(system_prompt)) | |
| temperature = float(temperature) | |
| if temperature < 1e-2: | |
| temperature = 1e-2 | |
| top_p = float(top_p) | |
| generate_kwargs = dict(temperature=temperature, max_new_tokens=max_new_tokens, top_p=top_p, repetition_penalty=repetition_penalty, do_sample=True, seed=42,) | |
| formatted_prompt = format_prompt(f"{system_prompt}, {prompt}", history) | |
| stream = client.text_generation(formatted_prompt, **generate_kwargs, stream=True, details=True, return_full_text=False) | |
| output = "" | |
| for response in stream: | |
| output += response.token.text | |
| yield output | |
| return output | |
| additional_inputs=[ | |
| gr.Textbox( label="System Prompt", value="Correct the following sentence to make it grammatically accurate while maintaining the original meaning. Output only the corrected sentence." , max_lines=1, interactive=True, ), | |
| gr.Slider( label="Temperature", value=0.9, minimum=0.0, maximum=1.0, step=0.05, interactive=True, info="Higher values produce more diverse outputs", ), | |
| gr.Slider( label="Max new tokens", value=256, minimum=0, maximum=1048, step=64, interactive=True, info="The maximum numbers of new tokens", ), | |
| gr.Slider( label="Top-p (nucleus sampling)", value=0.90, minimum=0.0, maximum=1, step=0.05, interactive=True, info="Higher values sample more low-probability tokens", ), | |
| gr.Slider( label="Repetition penalty", value=1.2, minimum=1.0, maximum=2.0, step=0.05, interactive=True, info="Penalize repeated tokens", ) | |
| ] | |
| examples=[['Give me the grammatically correct version of the sentence: "We shood buy an car"', None, None, None, None, None, ], | |
| ["Give me an example exam question testing students on square roots on basic integers", None, None, None, None, None,], | |
| ["Would this block of HTML code run?\n```\n\n```", None, None, None, None, None,], | |
| ["I have been to New York last summer.", None, None, None, None, None,], | |
| ["We shood buy an car.", None, None, None, None, None,], | |
| ["People is coming to my party.", None, None, None, None, None,], | |
| ["She is more taller.", None, None, None, None, None,], | |
| ["Their were lot of sheeps.", None, None, None, None, None,], | |
| ["I want to speak English good.", None, None, None, None, None,], | |
| ["I must to buy a new cartoon book.", None, None, None, None, None,], | |
| ] | |
| gr.ChatInterface( | |
| fn=generate, | |
| chatbot=gr.Chatbot(show_label=False, show_share_button=False, show_copy_button=True, likeable=True, layout="panel"), | |
| additional_inputs=additional_inputs, | |
| title="Mixtral 46.7B", | |
| examples=examples, | |
| concurrency_limit=20, | |
| ).launch(show_api=False) |