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import gradio as gr | |
from bs4 import BeautifulSoup | |
import requests | |
from acogsphere import acf | |
from bcogsphere import bcf | |
import math | |
import sqlite3 | |
import huggingface_hub | |
import pandas as pd | |
import shutil | |
import os | |
import datetime | |
from apscheduler.schedulers.background import BackgroundScheduler | |
import random | |
import time | |
import requests | |
DB_FILE = "./reviews1.db" | |
TOKEN = os.environ.get('HF_KEY') | |
repo = huggingface_hub.Repository( | |
local_dir="data", | |
repo_type="space", | |
clone_from="CogSphere/aCogSphere", | |
use_auth_token=TOKEN | |
) | |
repo.git_pull() | |
# Set db to latest | |
#shutil.copyfile("./data/reviews0.db", DB_FILE) | |
# Create table if it doesn't already exist | |
db = sqlite3.connect(DB_FILE) | |
try: | |
db.execute("SELECT * FROM reviews").fetchall() | |
db.close() | |
except sqlite3.OperationalError: | |
db.execute( | |
''' | |
CREATE TABLE reviews (id INTEGER PRIMARY KEY AUTOINCREMENT NOT NULL, | |
created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP NOT NULL, | |
name TEXT, rate INTEGER, celsci TEXT) | |
''') | |
db.commit() | |
db.close() | |
def get_latest_reviews(db: sqlite3.Connection): | |
reviews = db.execute("SELECT * FROM reviews ORDER BY id DESC limit 100").fetchall() | |
total_reviews = db.execute("Select COUNT(id) from reviews").fetchone()[0] | |
reviews = pd.DataFrame(reviews, columns=["id", "date_created", "name", "rate", "celsci"]) | |
return reviews, total_reviews | |
def ccogsphere(name: str, rate: int, celsci: str): | |
db = sqlite3.connect(DB_FILE) | |
cursor = db.cursor() | |
cursor.execute("INSERT INTO reviews(name, rate, celsci) VALUES(?,?,?)", [name, rate, celsci]) | |
db.commit() | |
reviews, total_reviews = get_latest_reviews(db) | |
db.close() | |
#demo.load() | |
return reviews, total_reviews | |
def run_actr(): | |
from python_actr import log_everything | |
#code1="tim = MyAgent()" | |
#code2="subway=MyEnv()" | |
#code3="subway.agent=tim" | |
#code4="log_everything(subway)"] | |
from dcogsphere import RockPaperScissors | |
from dcogsphere import ProceduralPlayer | |
#from dcogsphere import logy | |
env=RockPaperScissors() | |
env.model1=ProceduralPlayer() | |
env.model1.choice=env.choice1 | |
env.model2=ProceduralPlayer() | |
env.model2.choice=env.choice2 | |
env.run() | |
def load_data(): | |
db = sqlite3.connect(DB_FILE) | |
reviews, total_reviews = get_latest_reviews(db) | |
db.close() | |
return reviews, total_reviews | |
css="footer {visibility: hidden}" | |
with gr.Blocks(css=css) as demo: | |
with gr.Row(): | |
with gr.Column(): | |
#with gr.Box(): | |
#gr.Markdown("Based on dataset [here](https://huggingface.co/datasets/freddyaboulton/gradio-reviews)") | |
data = gr.Dataframe() | |
count = gr.Number(label="Rates!") | |
with gr.Row(): | |
with gr.Column(): | |
name = gr.Textbox(label="a") #, placeholder="What is your name?") | |
rate = gr.Textbox(label="b") #, placeholder="What is your name?") #gr.Radio(label="How satisfied are you with using gradio?", choices=[1, 2, 3, 4, 5]) | |
celsci = gr.Textbox(label="c") #, lines=10, placeholder="Do you have any feedback on gradio?") | |
#run_actr() | |
submit = gr.Button(value=".") | |
submit.click(ccogsphere, [name, rate, celsci], [data, count]) | |
demo.load(load_data, None, [data, count]) | |
def secwork(name): | |
#if name=="abc": | |
#run_code() | |
load_data() | |
#return "Hello " + name + "!" | |
def backup_db(): | |
shutil.copyfile(DB_FILE, "./reviews.2db") | |
db = sqlite3.connect(DB_FILE) | |
reviews = db.execute("SELECT * FROM reviews").fetchall() | |
pd.DataFrame(reviews).to_csv("./reviews1.csv", index=False) | |
print("updating db") | |
repo.push_to_hub(blocking=False, commit_message=f"Updating data at {datetime.datetime.now()}") | |
def load_data2(): | |
db = sqlite3.connect(DB_FILE) | |
reviews, total_reviews = get_latest_reviews(db) | |
#db.close() | |
return reviews, total_reviews | |
scheduler = BackgroundScheduler() | |
scheduler.add_job(func=backup_db, trigger="interval", seconds=240) | |
scheduler.start() | |
#scheduler2 = BackgroundScheduler() | |
#scheduler2.add_job(func=load_data2, trigger="interval", seconds=10) | |
#scheduler2.start() | |
demo.launch() |