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| import gradio as gr | |
| import os | |
| # PersistDataset ----- | |
| import os | |
| import csv | |
| import gradio as gr | |
| from gradio import inputs, outputs | |
| import huggingface_hub | |
| from huggingface_hub import Repository, hf_hub_download, upload_file | |
| from datetime import datetime | |
| # created new dataset as awacke1/MindfulStory.csv | |
| #DATASET_REPO_URL = "https://huggingface.co/datasets/awacke1/MindfulStory.csv" | |
| #DATASET_REPO_ID = "awacke1/MindfulStory.csv" | |
| #DATA_FILENAME = "MindfulStory.csv" | |
| #DATA_FILE = os.path.join("data", DATA_FILENAME) | |
| HF_TOKEN = os.environ.get("HF_TOKEN") | |
| # Download dataset repo using hub download | |
| #try: | |
| # hf_hub_download( | |
| # repo_id=DATASET_REPO_ID, | |
| # filename=DATA_FILENAME, | |
| # cache_dir=DATA_DIRNAME, | |
| # force_filename=DATA_FILENAME | |
| # ) | |
| #except: | |
| # print("file not found") | |
| #def AIMemory(title: str, story: str): | |
| # if title and story: | |
| # with open(DATA_FILE, "a") as csvfile: | |
| # writer = csv.DictWriter(csvfile, fieldnames=["title", "story", "time"]) | |
| # writer.writerow({"title": title, "story": story, "time": str(datetime.now())}) | |
| # uncomment line below to begin saving your changes | |
| #commit_url = repo.push_to_hub() | |
| # return "" | |
| # Set up cloned dataset from repo for operations | |
| #repo = Repository( | |
| # local_dir="data", clone_from=DATASET_REPO_URL, use_auth_token=HF_TOKEN | |
| #) | |
| #generator1 = gr.Interface.load("bigscience/bloom", api_key=HF_TOKEN) | |
| generator1 = gr.Interface.load("huggingface/gpt2-large", api_key=HF_TOKEN) | |
| generator2 = gr.Interface.load("huggingface/EleutherAI/gpt-neo-2.7B", api_key=HF_TOKEN) | |
| generator3 = gr.Interface.load("huggingface/EleutherAI/gpt-j-6B", api_key=HF_TOKEN) | |
| def calculator(intro, operator, outro): | |
| if operator == "add": | |
| output = generator2(intro) + generator3(outro) | |
| title = intro + " " + outro | |
| # saved = AIMemory(title, output) | |
| return output | |
| elif operator == "subtract": | |
| output = generator2(outro) + generator3(intro) | |
| title = outro + " " + intro | |
| # saved = AIMemory(title, output) | |
| output = output.replace(intro, "").replace(outro, "") | |
| return output | |
| elif operator == "multiply": | |
| output = generator1(intro) + generator2(outro) + generator3(intro) | |
| title = intro + " " + outro + " " + intro | |
| # saved = AIMemory(title, output) | |
| return output | |
| elif operator == "divide": | |
| output = generator1(outro) + generator2(intro) + generator3(outro) | |
| title = outro + " " + intro + " " + outro | |
| # saved = AIMemory(title, output) | |
| output = output.replace(intro, "").replace(outro, "") | |
| return output | |
| #with open('Mindfulness.txt', 'r') as file: | |
| # context = file.read() | |
| #contextBox = gr.Textbox(lines=3, default=context, label="Story starter") | |
| examples = [ | |
| ["Asynchronous Telemedicine", "multiply", "Provide remote care services live addressing provider shortages"], | |
| ["Ambient and emotion AI", "multiply", "rtificial intelligence showing empathy and compassion, reducing biases making us feel cared for and assist lifestyle"], | |
| ["import gradio as gr", "multiply", "import streamlit as st"], | |
| ["Skin Patch", "multiply", "Allow technology to measure blood pressure, glucose, reducing huge bulky devices"], | |
| ["Affordable vein scanner", "multiply", "View veins through skin"], | |
| ["Synthetic medical records", "multiply", "Create synthetic medical records using GANS trained to create synthetic data"], | |
| ["Blood draw devices used in clinical trials", "multiply", "So you dont have to go to physical location, engagement during trials"], | |
| ["Smart TVs being used for remote care", "multiply", "Video chat and recordings for remote care consultations"], | |
| ["Why does a chicken coop have two doors? Because if had four doors it would be a chicken sedan!", "multiply", "Why did the chicken cross the park? To get to the other slide."], | |
| ["What type of shoes do ninjas wear? Sneakers", "add", "Can a ninja bring a ninja star into the airport? Shuriken."], | |
| ["To save the planet with good looks and comedy find your", "multiply", "Everybody laughed at me when I told them I was going to be a comedian. I thought well, thats not bad for a start."] | |
| ] | |
| demo = gr.Interface( | |
| calculator, | |
| [ | |
| "text", | |
| gr.Radio(["add", "subtract", "multiply", "divide"]), | |
| "text" | |
| ], | |
| "text", | |
| examples=examples, | |
| article="Saved story memory dataset: https://huggingface.co/datasets/awacke1/MindfulStory.csv with available models to use from text gen: https://huggingface.co/models?pipeline_tag=text-generation&sort=downloads", | |
| live=True, | |
| ) | |
| demo.launch() |