Classes
class	SearchHistory

Functions
	get_utc_plus_one ()

	fetch_comments_from_posts (search_term, subreddit='all', sort_order='default', time_filter='all', comment_sort_order='top', max_comments=1000, max_comments_per_post=75)

	preprocess_text (text)

	predict_sentiment (text)

	interpret_sentiment (positive_percentage)

	convert_to_html_list (text)

	prepare_comments_for_gpt (comments, max_tokens=16385, prompt_type='default')

	chatgpt_sentiment_analysis (comments, prompt_type)

	save_sentiment_pie_chart (positive_percentage, image_path)

	save_word_cloud (comments, image_path)

	fetch_comments (search_term, subreddit='all', limit=5)

	home ()

	generate_prompt ()

	validate_search_term ()

	landing ()

	history ()

Variables
	app = Flask(__name__)

	secret_key

	db = SQLAlchemy(app)

	reddit

	model = DistilBertForSequenceClassification.from_pretrained('C:\\Users\\35387\\Desktop\\app1\\distilbert_sentiment_analysis')

	tokenizer = DistilBertTokenizerFast.from_pretrained('C:\\Users\\35387\\Desktop\\app1\\distilbert_sentiment_analysis_tokenizer')

	debug

Function Documentation

◆ chatgpt_sentiment_analysis()

app.chatgpt_sentiment_analysis	(		comments,
			prompt_type )

Definition at line 234 of file app.py.

◆ convert_to_html_list()

app.convert_to_html_list ( text )

Definition at line 142 of file app.py.

◆ fetch_comments()

app.fetch_comments	(	search_term,
		subreddit = 'all',
		limit = 5 )

Definition at line 299 of file app.py.

◆ fetch_comments_from_posts()

app.fetch_comments_from_posts	(	search_term,
		subreddit = 'all',
		sort_order = 'default',
		time_filter = 'all',
		comment_sort_order = 'top',
		max_comments = 1000,
		max_comments_per_post = 75 )

Definition at line 75 of file app.py.

◆ generate_prompt()

app.generate_prompt ( )

Definition at line 388 of file app.py.

◆ get_utc_plus_one()

app.get_utc_plus_one ( )

Definition at line 41 of file app.py.

◆ history()

app.history ( )

Definition at line 433 of file app.py.

◆ home()

app.home ( )

Definition at line 320 of file app.py.

◆ interpret_sentiment()

app.interpret_sentiment ( positive_percentage )

Definition at line 125 of file app.py.

◆ landing()

app.landing ( )

Definition at line 429 of file app.py.

◆ predict_sentiment()

app.predict_sentiment ( text )

Definition at line 118 of file app.py.

◆ prepare_comments_for_gpt()

app.prepare_comments_for_gpt	(	comments,
		max_tokens = 16385,
		prompt_type = 'default' )

Definition at line 181 of file app.py.

◆ preprocess_text()

app.preprocess_text ( text )

Definition at line 105 of file app.py.

◆ save_sentiment_pie_chart()

app.save_sentiment_pie_chart	(		positive_percentage,
			image_path )

Definition at line 278 of file app.py.

◆ save_word_cloud()

app.save_word_cloud	(		comments,
			image_path )

Definition at line 289 of file app.py.

◆ validate_search_term()

app.validate_search_term ( )

Definition at line 419 of file app.py.

Variable Documentation

◆ app

app.app = Flask(__name__)

Definition at line 32 of file app.py.

◆ db

app.db = SQLAlchemy(app)

Definition at line 38 of file app.py.

◆ debug

app.debug

Definition at line 463 of file app.py.

◆ model

app.model = DistilBertForSequenceClassification.from_pretrained('C:\\Users\\35387\\Desktop\\app1\\distilbert_sentiment_analysis')

Definition at line 71 of file app.py.

◆ reddit

app.reddit

Initial value:

=  praw.Reddit(client_id='',
                     client_secret='',
                     user_agent='')

Definition at line 66 of file app.py.

◆ secret_key

app.secret_key

Definition at line 33 of file app.py.

◆ tokenizer

app.tokenizer = DistilBertTokenizerFast.from_pretrained('C:\\Users\\35387\\Desktop\\app1\\distilbert_sentiment_analysis_tokenizer')

Definition at line 72 of file app.py.

Classes

Functions

Variables