Spaces:
Sleeping
Sleeping
| import os | |
| import openai | |
| import gradio as gr | |
| from langchain import OpenAI | |
| from langchain.prompts import PromptTemplate | |
| from langchain.chains import LLMChain | |
| import datetime | |
| NUM_WORDS_DEFAULT = 80 | |
| TEMPERATURE_DEFAULT = 0.5 | |
| EMOTION_DEFAULT = "N/A" | |
| LITERARY_STYLE_DEFAULT = "Poetry" | |
| CHARACTER_DEFAULT = "The Old Lady Who Swallowed A Fly" | |
| # FORMALITY_DEFAULT = "Casual" | |
| # TRANSLATE_TO_DEFAULT = "Don't translate" | |
| # PROMPT_TEMPLATE = PromptTemplate( | |
| # input_variables=["original_words", "num_words", "formality", "emotions", "translate_to", "literary_style", "character"], | |
| # template="Express {num_words} in a {formality} manner, " | |
| # "{emotions}{translate_to}{literary_style}{character} the following: \n{original_words}\n", | |
| # ) | |
| PROMPT_TEMPLATE = PromptTemplate( | |
| input_variables=["num_words", "literary_style", "emotions", "character", "original_words"], | |
| template="{num_words}{character}{emotions} express the following {literary_style}: \n{original_words}\n", | |
| ) | |
| def set_openai_api_key(api_key, openai_api_key, temperature, llm_chain): | |
| if api_key: | |
| print("temperature: ", temperature) | |
| openai_api_key = api_key | |
| os.environ["OPENAI_API_KEY"] = api_key | |
| llm = OpenAI(model_name='text-davinci-003', temperature=temperature, max_tokens=512) | |
| os.environ["OPENAI_API_KEY"] = "" | |
| llm_chain = LLMChain(llm=llm, prompt=PROMPT_TEMPLATE, verbose=True) | |
| return openai_api_key, llm_chain | |
| # def transform_text(desc, openai_api_key, temperature, llm_chain, num_words, formality, | |
| # anticipation_level, joy_level, trust_level, | |
| # fear_level, surprise_level, sadness_level, disgust_level, anger_level, | |
| # translate_to, literary_style, character): | |
| def transform_text(desc, openai_api_key, temperature, llm_chain, num_words, | |
| anticipation_level, joy_level, trust_level, fear_level, | |
| surprise_level, sadness_level, disgust_level, anger_level, | |
| literary_style, character): | |
| if not openai_api_key or openai_api_key == "": | |
| return "<pre>Please paste your OpenAI API key (see https://beta.openai.com)</pre>" | |
| 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() | |
| llm_chain.llm.temperature = temperature | |
| # 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 an emotion of " + emotions[0] + ", " | |
| else: | |
| emotions_str = "with emotions of " + ", ".join(emotions[:-1]) + " and " + emotions[-1] + ", " | |
| # translate_to_str = "" | |
| # if translate_to != TRANSLATE_TO_DEFAULT: | |
| # translate_to_str = "translated to " + translate_to + ", " | |
| literary_style_str = "as a poem" | |
| if literary_style != LITERARY_STYLE_DEFAULT: | |
| if literary_style == "Haiku": | |
| literary_style_str = "as a haiku" | |
| elif literary_style == "Limerick": | |
| literary_style_str = "as a limerick" | |
| # 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" | |
| character_str = "as if written by The Old Lady Who Swallowed A Fly, " | |
| if character != CHARACTER_DEFAULT: | |
| if character == "The Old Woman Who Lived In A Shoe": | |
| character_str = "as if written by the Old Woman Who Lived In A Shoe, " | |
| # elif character == "Mary Had A Little Lamb": | |
| # character_str = "as if written by Mary from Mary Had A Little Lamb" | |
| elif character == "Humpty-Dumpty": | |
| character_str = "as if written by Humpty Dumpty, " | |
| # formatted_prompt = PROMPT_TEMPLATE.format( | |
| # original_words=desc, | |
| # num_words=num_words_prompt, | |
| # formality=formality, | |
| # emotions=emotions_str, | |
| # translate_to=translate_to_str, | |
| # literary_style=literary_style_str, | |
| # character=character_str, | |
| # ) | |
| formatted_prompt = PROMPT_TEMPLATE.format( | |
| original_words=desc, | |
| num_words=num_words_prompt, | |
| emotions=emotions_str, | |
| literary_style=literary_style_str, | |
| character=character_str, | |
| ) | |
| # generated_text = llm_chain.run({'original_words': desc, 'num_words': num_words_prompt, 'formality': formality, | |
| # 'emotions': emotions_str, 'translate_to': translate_to_str, | |
| # 'literary_style': literary_style_str, 'character': character_str}).strip() | |
| generated_text = llm_chain.run({'original_words': desc, 'num_words': num_words_prompt, | |
| 'emotions': emotions_str, 'literary_style': literary_style_str, | |
| 'character': character_str}).strip() | |
| # replace all newlines with <br> in generated_text | |
| generated_text = generated_text.replace("\n", "<br>") | |
| prompt_plus_generated = "<b>GPT prompt:</b> " + formatted_prompt + "<br/><br/><code>" + generated_text + "</code>" | |
| print("\n==== date/time: " + str(datetime.datetime.now() - datetime.timedelta(hours=5)) + " ====") | |
| print("temperature: ", temperature) | |
| print("prompt_plus_generated: " + prompt_plus_generated) | |
| return prompt_plus_generated | |
| def update_foo(widget, state): | |
| if widget: | |
| state = widget | |
| return state | |
| block = gr.Blocks(css=".gradio-container {background-color: lightgray}") | |
| with block: | |
| openai_api_key_state = gr.State() | |
| temperature_state = gr.State(TEMPERATURE_DEFAULT) | |
| llm_chain_state = gr.State() | |
| num_words_state = gr.State(NUM_WORDS_DEFAULT) | |
| # formality_state = gr.State(FORMALITY_DEFAULT) | |
| anticipation_level_state = gr.State(EMOTION_DEFAULT) | |
| joy_level_state = gr.State(EMOTION_DEFAULT) | |
| trust_level_state = gr.State(EMOTION_DEFAULT) | |
| fear_level_state = gr.State(EMOTION_DEFAULT) | |
| surprise_level_state = gr.State(EMOTION_DEFAULT) | |
| sadness_level_state = gr.State(EMOTION_DEFAULT) | |
| disgust_level_state = gr.State(EMOTION_DEFAULT) | |
| anger_level_state = gr.State(EMOTION_DEFAULT) | |
| # translate_to_state = gr.State(TRANSLATE_TO_DEFAULT) | |
| literary_style_state = gr.State(LITERARY_STYLE_DEFAULT) | |
| character_state = gr.State(CHARACTER_DEFAULT) | |
| with gr.Row(): | |
| temperature_slider = gr.Slider(label="GPT Temperature", value=TEMPERATURE_DEFAULT, minimum=0.0, maximum=1.0, | |
| step=0.1) | |
| title = gr.Markdown ("""<h3><center>GPT-3 Grimm Verses</center></h3>""") | |
| openai_api_key_textbox = gr.Textbox(placeholder="Paste your OpenAI API key", | |
| show_label=False, lines=1, type='password') | |
| output = gr.Markdown("") | |
| with gr.Row(): | |
| request = gr.Textbox(label="Express this: ", | |
| value="", | |
| placeholder="Ex: My armpits are sweating gravy.") | |
| submit = gr.Button(value="Express", variant="secondary").style(full_width=False) | |
| with gr.Row(): | |
| with gr.Column(): | |
| gr.Examples( | |
| examples=[ | |
| "My armpits are sweating gravy", | |
| "My skull is filled with solid bone", | |
| "Something underneath the house smells horrible", | |
| ], | |
| inputs=request | |
| ) | |
| num_words_slider = gr.Slider(label="Max number of words to generate (0 for don't care)", | |
| value=NUM_WORDS_DEFAULT, minimum=0, maximum=100, step=10) | |
| num_words_slider.change(update_foo, | |
| inputs=[num_words_slider, num_words_state], | |
| outputs=[num_words_state]) | |
| character_radio = gr.Radio(label="As if written by:", choices=["The Old Lady Who Swallowed A Fly", "The Old Woman Who Lived In A Shoe", "Humpty-Dumpty"], | |
| value=CHARACTER_DEFAULT) | |
| character_radio.change(update_foo, | |
| inputs=[character_radio, character_state], | |
| outputs=[character_state]) | |
| literary_style_radio = gr.Radio(label="Literary style:", choices=[ | |
| LITERARY_STYLE_DEFAULT, "Haiku", "Limerick", "Knock-knock"], | |
| value=LITERARY_STYLE_DEFAULT) | |
| literary_style_radio.change(update_foo, | |
| inputs=[literary_style_radio, literary_style_state], | |
| outputs=[literary_style_state]) | |
| # formality_radio = gr.Radio(label="Formality:", choices=["Casual", "Polite", "Honorific"], | |
| # value=FORMALITY_DEFAULT) | |
| # formality_radio.change(update_foo, | |
| # inputs=[formality_radio, formality_state], | |
| # outputs=[formality_state]) | |
| # translate_to_radio = gr.Radio(label="Translate to:", choices=[TRANSLATE_TO_DEFAULT, "emojis", "Gen Z slang", "how the stereotypical Karen would say it", "Pirate"], value=TRANSLATE_TO_DEFAULT) | |
| # translate_to_radio = gr.Radio(label="Translate to:", choices=[ | |
| # TRANSLATE_TO_DEFAULT, "Arabic", "British English", "Chinese (Simplified)", "Chinese (Traditional)", | |
| # "Czech", "Danish", "Dutch", "emojis", "English", "Finnish", "French", "Gen Z slang", "German", "Greek", | |
| # "Hebrew", "Hindi", "Hungarian", "Indonesian", "Italian", "Japanese", | |
| # "how the stereotypical Karen would say it", | |
| # "Klingon", "Korean", "Norwegian", "Old English", "Pirate", "Polish", "Portuguese", "Romanian", | |
| # "Russian", "Spanish", "Strange Planet expospeak technical talk", "Swedish", "Thai", "Turkish", "Vietnamese", "Yoda"], value=TRANSLATE_TO_DEFAULT) | |
| # translate_to_radio.change(update_foo, | |
| # inputs=[translate_to_radio, translate_to_state], | |
| # outputs=[translate_to_state]) | |
| with gr.Column(): | |
| with gr.Accordion("Emotions", open=True): | |
| anticipation_level_radio = gr.Radio(label="Anticipation level:", | |
| choices=[EMOTION_DEFAULT, "Interest", "Anticipation", "Vigilance"], | |
| value=EMOTION_DEFAULT) | |
| anticipation_level_radio.change(update_foo, | |
| inputs=[anticipation_level_radio, anticipation_level_state], | |
| outputs=[anticipation_level_state]) | |
| joy_level_radio = gr.Radio(label="Joy level:", | |
| choices=[EMOTION_DEFAULT, "Serenity", "Joy", "Ecstasy"], | |
| value=EMOTION_DEFAULT) | |
| joy_level_radio.change(update_foo, | |
| inputs=[joy_level_radio, joy_level_state], | |
| outputs=[joy_level_state]) | |
| trust_level_radio = gr.Radio(label="Trust level:", | |
| choices=[EMOTION_DEFAULT, "Acceptance", "Trust", "Admiration"], | |
| value=EMOTION_DEFAULT) | |
| trust_level_radio.change(update_foo, | |
| inputs=[trust_level_radio, trust_level_state], | |
| outputs=[trust_level_state]) | |
| fear_level_radio = gr.Radio(label="Fear level:", | |
| choices=[EMOTION_DEFAULT, "Apprehension", "Fear", "Terror"], | |
| value=EMOTION_DEFAULT) | |
| fear_level_radio.change(update_foo, | |
| inputs=[fear_level_radio, fear_level_state], | |
| outputs=[fear_level_state]) | |
| surprise_level_radio = gr.Radio(label="Surprise level:", | |
| choices=[EMOTION_DEFAULT, "Distraction", "Surprise", "Amazement"], | |
| value=EMOTION_DEFAULT) | |
| surprise_level_radio.change(update_foo, | |
| inputs=[surprise_level_radio, surprise_level_state], | |
| outputs=[surprise_level_state]) | |
| sadness_level_radio = gr.Radio(label="Sadness level:", | |
| choices=[EMOTION_DEFAULT, "Pensiveness", "Sadness", "Grief"], | |
| value=EMOTION_DEFAULT) | |
| sadness_level_radio.change(update_foo, | |
| inputs=[sadness_level_radio, sadness_level_state], | |
| outputs=[sadness_level_state]) | |
| disgust_level_radio = gr.Radio(label="Disgust level:", | |
| choices=[EMOTION_DEFAULT, "Boredom", "Disgust", "Loathing"], | |
| value=EMOTION_DEFAULT) | |
| disgust_level_radio.change(update_foo, | |
| inputs=[disgust_level_radio, disgust_level_state], | |
| outputs=[disgust_level_state]) | |
| anger_level_radio = gr.Radio(label="Anger level:", | |
| choices=[EMOTION_DEFAULT, "Annoyance", "Anger", "Rage"], | |
| value=EMOTION_DEFAULT) | |
| anger_level_radio.change(update_foo, | |
| inputs=[anger_level_radio, anger_level_state], | |
| outputs=[anger_level_state]) | |
| gr.HTML(""" | |
| <center>Based on an app by <a target='_blank' href='https://twitter.com/JavaFXpert'>@JavaFXpert</a>.</center>""") | |
| gr.HTML("<center>Powered by <a href='https://github.com/hwchase17/langchain'>LangChain 🦜️🔗</a></center>") | |
| # submit.click(transform_text, | |
| # inputs=[ | |
| # request, openai_api_key_state, temperature_state, llm_chain_state, num_words_state, | |
| # formality_state, | |
| # anticipation_level_state, joy_level_state, trust_level_state, fear_level_state, | |
| # surprise_level_state, sadness_level_state, disgust_level_state, anger_level_state, | |
| # translate_to_state, literary_style_state, character_state], | |
| # outputs=[output]) | |
| submit.click(transform_text, | |
| inputs=[ | |
| request, openai_api_key_state, temperature_state, llm_chain_state, num_words_state, | |
| anticipation_level_state, joy_level_state, trust_level_state, fear_level_state, | |
| surprise_level_state, sadness_level_state, disgust_level_state, anger_level_state, literary_style_state, character_state], | |
| outputs=[output]) | |
| # request.submit(transform_text, | |
| # inputs=[ | |
| # request, openai_api_key_state, temperature_state, llm_chain_state, num_words_state, | |
| # formality_state, | |
| # anticipation_level_state, joy_level_state, trust_level_state, fear_level_state, | |
| # surprise_level_state, sadness_level_state, disgust_level_state, anger_level_state, | |
| # translate_to_state, literary_style_state, character_state], | |
| # outputs=[output]) | |
| request.submit(transform_text, | |
| inputs=[ | |
| request, openai_api_key_state, temperature_state, llm_chain_state, num_words_state, | |
| anticipation_level_state, joy_level_state, trust_level_state, fear_level_state, | |
| surprise_level_state, sadness_level_state, disgust_level_state, anger_level_state, | |
| literary_style_state, character_state], | |
| outputs=[output]) | |
| openai_api_key_textbox.change(set_openai_api_key, | |
| inputs=[openai_api_key_textbox, openai_api_key_state, temperature_state, | |
| llm_chain_state], | |
| outputs=[openai_api_key_state, llm_chain_state]) | |
| temperature_slider.change(update_foo, | |
| inputs=[temperature_slider, temperature_state], | |
| outputs=[temperature_state]) | |
| block.launch() | |