# Pertains to Express-inator functionality import datetime from config.config import PROMPT_TEMPLATE, TRANSLATE_TO_DEFAULT, LANG_LEVEL_DEFAULT, LITERARY_STYLE_DEFAULT def transform_text(desc, express_chain, num_words, formality, anticipation_level, joy_level, trust_level, fear_level, surprise_level, sadness_level, disgust_level, anger_level, lang_level, translate_to, literary_style, force_translate): num_words_prompt = "" if num_words and int(num_words) != 0: num_words_prompt = "using up to " + str(num_words) + " words, " # Change some arguments to lower case formality = formality.lower() anticipation_level = anticipation_level.lower() joy_level = joy_level.lower() trust_level = trust_level.lower() fear_level = fear_level.lower() surprise_level = surprise_level.lower() sadness_level = sadness_level.lower() disgust_level = disgust_level.lower() anger_level = anger_level.lower() formality_str = "" if formality != "n/a": formality_str = "in a " + formality + " manner, " # put all emotions into a list emotions = [] if anticipation_level != "n/a": emotions.append(anticipation_level) if joy_level != "n/a": emotions.append(joy_level) if trust_level != "n/a": emotions.append(trust_level) if fear_level != "n/a": emotions.append(fear_level) if surprise_level != "n/a": emotions.append(surprise_level) if sadness_level != "n/a": emotions.append(sadness_level) if disgust_level != "n/a": emotions.append(disgust_level) if anger_level != "n/a": emotions.append(anger_level) emotions_str = "" if len(emotions) > 0: if len(emotions) == 1: emotions_str = "with emotion of " + emotions[0] + ", " else: emotions_str = "with emotions of " + ", ".join(emotions[:-1]) + " and " + emotions[-1] + ", " lang_level_str = "" if lang_level != LANG_LEVEL_DEFAULT: lang_level_str = "at a level that a person in " + lang_level + " can easily comprehend, " if translate_to == TRANSLATE_TO_DEFAULT else "" translate_to_str = "" if translate_to != TRANSLATE_TO_DEFAULT and (force_translate or lang_level != LANG_LEVEL_DEFAULT): translate_to_str = "translated to " + translate_to + ( "" if lang_level == LANG_LEVEL_DEFAULT else " at a level that a person in " + lang_level + " can easily comprehend") + ", " literary_style_str = "" if literary_style != LITERARY_STYLE_DEFAULT: if literary_style == "Prose": literary_style_str = "as prose, " if literary_style == "Story": literary_style_str = "as a story, " elif literary_style == "Summary": literary_style_str = "as a summary, " elif literary_style == "Outline": literary_style_str = "as an outline numbers and lower case letters, " elif literary_style == "Bullets": literary_style_str = "as bullet points using bullets, " elif literary_style == "Poetry": literary_style_str = "as a poem, " elif literary_style == "Haiku": literary_style_str = "as a haiku, " elif literary_style == "Limerick": literary_style_str = "as a limerick, " elif literary_style == "Rap": literary_style_str = "as a rap, " elif literary_style == "Joke": literary_style_str = "as a very funny joke with a setup and punchline, " elif literary_style == "Knock-knock": literary_style_str = "as a very funny knock-knock joke, " elif literary_style == "FAQ": literary_style_str = "as a FAQ with several questions and answers, " formatted_prompt = PROMPT_TEMPLATE.format( original_words=desc, num_words=num_words_prompt, formality=formality_str, emotions=emotions_str, lang_level=lang_level_str, translate_to=translate_to_str, literary_style=literary_style_str ) trans_instr = num_words_prompt + formality_str + emotions_str + lang_level_str + translate_to_str + literary_style_str if express_chain and len(trans_instr.strip()) > 0: generated_text = express_chain.run( {'original_words': desc, 'num_words': num_words_prompt, 'formality': formality_str, 'emotions': emotions_str, 'lang_level': lang_level_str, 'translate_to': translate_to_str, 'literary_style': literary_style_str}).strip() else: print("Not transforming text") generated_text = desc # replace all newlines with
in generated_text generated_text = generated_text.replace("\n", "\n\n") prompt_plus_generated = "GPT prompt: " + formatted_prompt + "\n\n" + generated_text print("\n==== date/time: " + str(datetime.datetime.now() - datetime.timedelta(hours=5)) + " ====") print("prompt_plus_generated: " + prompt_plus_generated) return generated_text