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| import os | |
| from typing import Iterator | |
| import gradio as gr | |
| from model import run | |
| HF_PUBLIC = os.environ.get("HF_PUBLIC", False) | |
| DEFAULT_SYSTEM_PROMPT = ''' | |
| You are a digital assistant for John "LJ" Strenio's Data science portfolio page. Here are some key details about John to keep in mind with your response. | |
| John's Resume: | |
| John Strenio | |
| (802)-734-6892 | |
| [email protected] | |
| JohnStrenio.com | GitHub | |
| WORK EXPERIENCE | |
| Scribd - Data Scientist (Jan 2022- Present) | |
| - Improved Scribd’s SEO ranking by reducing the index life of 12% of newly uploaded documents at a | |
| loss of only 1.2% of attributed signups solely utilizing document metadata collected upon upload | |
| - productionized document quality model to perform inference on all newly uploaded documents, | |
| processing ~500k docs a week | |
| - Modified interaction-based recommendation system training data pipeline, improving user | |
| recommendations in all recorded metrics with a projected CTR increase of 5.5% | |
| - Identified 200k malicious user-generated documents containing personally identifiable information | |
| (1% of corpus) and created a simple heuristic which removed 42k (21%) with a 70% precision rate | |
| NASA - Software Engineering Intern (Aug 2019 - Dec 2019) | |
| - Ported aircraft structural health monitoring system FOSS (Fiber Optic Sensor System) to cryogenic fuel | |
| application using a microcontroller, decreasing program execution time by ~50% using a | |
| multithreaded approach | |
| Professional Skier (Winter 2007 - Winter 2016) | |
| - Competed internationally in freestyle competitions winning an X-Games bronze medal and becoming a | |
| finalist in the 2014 Olympic Qualifiers | |
| - Coordinated and performed stunts for Vin Diesel in Paramount Pictures’ “The Return of Xander Cage” | |
| garnering praise for the stunt team by the New York Times | |
| SKILLS | |
| Languages: (proficient) Python, SQL/Pyspark (past experience using) C, C++, JavaScript/HTML/CSS | |
| Frameworks & Libraries: Pyspark, TensorFlow, Keras, PyTorch, Numpy, Matplotlib, Pandas, Scikit-learn, OpenCV, Huggingface, Verta, Airflow, MLflow | |
| Software & Tools: Linux, Databricks, Windows, Git, Jupyter Notebook, Unity, Excel | |
| EDUCATION | |
| Portland State University, Portland, OR (Graduated Aug 2021) | |
| (MS) Computer Science – AI/ML focus | |
| GPA: 4.0 | |
| Computer Science Grad Prep (Jun 2016 – Aug 2019) | |
| University of Utah, Salt Lake City, UT (Graduated Aug 2012) | |
| (BA) English Literature (BA) Film & Media Arts | |
| John was also a professional freestyle skier for 15 years here are some of his accomplishments: | |
| XGames bronze medalist (you can find his video on youtube) | |
| he was in a number of ski films including warren miller, level 1 and meatheadfilms | |
| he once stunt doubled for vin diesel in "the return of xander cage". | |
| Remember you are a professional assistant and you would like to only discuss John and be helpful in answering question about him. | |
| ''' | |
| MAX_MAX_NEW_TOKENS = 4096 | |
| DEFAULT_MAX_NEW_TOKENS = 256 | |
| MAX_INPUT_TOKEN_LENGTH = 4000 | |
| DESCRIPTION = """ | |
| # [Mistral-7B](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.1) | |
| """ | |
| def clear_and_save_textbox(message: str) -> tuple[str, str]: | |
| return '', message | |
| def display_input(message: str, | |
| history: list[tuple[str, str]]) -> list[tuple[str, str]]: | |
| history.append((message, '')) | |
| return history | |
| def delete_prev_fn( | |
| history: list[tuple[str, str]]) -> tuple[list[tuple[str, str]], str]: | |
| try: | |
| message, _ = history.pop() | |
| except IndexError: | |
| message = '' | |
| return history, message or '' | |
| def generate( | |
| message: str, | |
| history_with_input: list[tuple[str, str]], | |
| system_prompt: str, | |
| max_new_tokens: int, | |
| temperature: float, | |
| top_p: float, | |
| top_k: int, | |
| ) -> Iterator[list[tuple[str, str]]]: | |
| if max_new_tokens > MAX_MAX_NEW_TOKENS: | |
| raise ValueError | |
| history = history_with_input[:-1] | |
| generator = run(message, history, system_prompt, max_new_tokens, temperature, top_p, top_k) | |
| try: | |
| first_response = next(generator) | |
| yield history + [(message, first_response)] | |
| except StopIteration: | |
| yield history + [(message, '')] | |
| for response in generator: | |
| yield history + [(message, response)] | |
| def process_example(message: str) -> tuple[str, list[tuple[str, str]]]: | |
| generator = generate(message, [], DEFAULT_SYSTEM_PROMPT, 1024, 1, 0.95, 50) | |
| for x in generator: | |
| pass | |
| return '', x | |
| def check_input_token_length(message: str, chat_history: list[tuple[str, str]], system_prompt: str) -> None: | |
| input_token_length = len(message) + len(chat_history) | |
| if input_token_length > MAX_INPUT_TOKEN_LENGTH: | |
| raise gr.Error(f'The accumulated input is too long ({input_token_length} > {MAX_INPUT_TOKEN_LENGTH}). Clear your chat history and try again.') | |
| with gr.Blocks(css='style.css') as demo: | |
| gr.Markdown(DESCRIPTION) | |
| gr.DuplicateButton(value='Duplicate Space for private use', | |
| elem_id='duplicate-button') | |
| with gr.Group(): | |
| chatbot = gr.Chatbot(label='Playground') | |
| with gr.Row(): | |
| textbox = gr.Textbox( | |
| container=False, | |
| show_label=False, | |
| placeholder='Hi, Mistral!', | |
| scale=10, | |
| ) | |
| submit_button = gr.Button('Submit', | |
| variant='primary', | |
| scale=1, | |
| min_width=0) | |
| with gr.Row(): | |
| retry_button = gr.Button('🔄 Retry', variant='secondary') | |
| undo_button = gr.Button('↩️ Undo', variant='secondary') | |
| clear_button = gr.Button('🗑️ Clear', variant='secondary') | |
| saved_input = gr.State() | |
| with gr.Accordion(label='⚙️ Advanced options', open=False): | |
| system_prompt = gr.Textbox(label='System prompt', | |
| value=DEFAULT_SYSTEM_PROMPT, | |
| lines=5, | |
| interactive=False) | |
| max_new_tokens = gr.Slider( | |
| label='Max new tokens', | |
| minimum=1, | |
| maximum=MAX_MAX_NEW_TOKENS, | |
| step=1, | |
| value=DEFAULT_MAX_NEW_TOKENS, | |
| ) | |
| temperature = gr.Slider( | |
| label='Temperature', | |
| minimum=0.1, | |
| maximum=4.0, | |
| step=0.1, | |
| value=0.1, | |
| ) | |
| top_p = gr.Slider( | |
| label='Top-p (nucleus sampling)', | |
| minimum=0.05, | |
| maximum=1.0, | |
| step=0.05, | |
| value=0.9, | |
| ) | |
| top_k = gr.Slider( | |
| label='Top-k', | |
| minimum=1, | |
| maximum=1000, | |
| step=1, | |
| value=10, | |
| ) | |
| textbox.submit( | |
| fn=clear_and_save_textbox, | |
| inputs=textbox, | |
| outputs=[textbox, saved_input], | |
| api_name=False, | |
| queue=False, | |
| ).then( | |
| fn=display_input, | |
| inputs=[saved_input, chatbot], | |
| outputs=chatbot, | |
| api_name=False, | |
| queue=False, | |
| ).then( | |
| fn=check_input_token_length, | |
| inputs=[saved_input, chatbot, system_prompt], | |
| api_name=False, | |
| queue=False, | |
| ).success( | |
| fn=generate, | |
| inputs=[ | |
| saved_input, | |
| chatbot, | |
| system_prompt, | |
| max_new_tokens, | |
| temperature, | |
| top_p, | |
| top_k, | |
| ], | |
| outputs=chatbot, | |
| api_name=False, | |
| ) | |
| button_event_preprocess = submit_button.click( | |
| fn=clear_and_save_textbox, | |
| inputs=textbox, | |
| outputs=[textbox, saved_input], | |
| api_name=False, | |
| queue=False, | |
| ).then( | |
| fn=display_input, | |
| inputs=[saved_input, chatbot], | |
| outputs=chatbot, | |
| api_name=False, | |
| queue=False, | |
| ).then( | |
| fn=check_input_token_length, | |
| inputs=[saved_input, chatbot, system_prompt], | |
| api_name=False, | |
| queue=False, | |
| ).success( | |
| fn=generate, | |
| inputs=[ | |
| saved_input, | |
| chatbot, | |
| system_prompt, | |
| max_new_tokens, | |
| temperature, | |
| top_p, | |
| top_k, | |
| ], | |
| outputs=chatbot, | |
| api_name=False, | |
| ) | |
| retry_button.click( | |
| fn=delete_prev_fn, | |
| inputs=chatbot, | |
| outputs=[chatbot, saved_input], | |
| api_name=False, | |
| queue=False, | |
| ).then( | |
| fn=display_input, | |
| inputs=[saved_input, chatbot], | |
| outputs=chatbot, | |
| api_name=False, | |
| queue=False, | |
| ).then( | |
| fn=generate, | |
| inputs=[ | |
| saved_input, | |
| chatbot, | |
| system_prompt, | |
| max_new_tokens, | |
| temperature, | |
| top_p, | |
| top_k, | |
| ], | |
| outputs=chatbot, | |
| api_name=False, | |
| ) | |
| undo_button.click( | |
| fn=delete_prev_fn, | |
| inputs=chatbot, | |
| outputs=[chatbot, saved_input], | |
| api_name=False, | |
| queue=False, | |
| ).then( | |
| fn=lambda x: x, | |
| inputs=[saved_input], | |
| outputs=textbox, | |
| api_name=False, | |
| queue=False, | |
| ) | |
| clear_button.click( | |
| fn=lambda: ([], ''), | |
| outputs=[chatbot, saved_input], | |
| queue=False, | |
| api_name=False, | |
| ) | |
| demo.queue(max_size=32).launch(share=HF_PUBLIC, show_api=False) | |