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| import os | |
| #os.environ['OPENAI_API_KEY'] = openAI | |
| # Retrieve the openAI secret from the environment | |
| openai_secret = os.environ.get('openAI') | |
| # Set the secret as an environment variable | |
| os.environ['OPENAI_API_KEY'] = openai_secret | |
| class Prompter: | |
| def __init__(self, gpt_model, temper): | |
| openai.api_key = openai_secret | |
| #os.environ.get("OPENAI_API_KEY") | |
| self.gpt_model = gpt_model | |
| self.temper = temper | |
| def prompt_model_print(self, messages: list): | |
| response = openai.ChatCompletion.create(model=self.gpt_model, messages=messages) | |
| return response["choices"][0]["message"]["content"] | |
| new_emotions_prompt = [ | |
| {"role" : "system", "content" : "Act as an inventor of new emotions. Consider the following: Mankind as a whole experiences many" | |
| "emotions like happiness, sadness, hate, love, Beauty, and much more. Cultures in particular experience emotions or label emotions other" | |
| "cultures don't have words for. So for example in Korea exists an emotion labeled as 'Aegyo' which describes a special kind of behavior" | |
| "to make people love you. Or 'German Angst' even attributes a certain facet of anxiety to a nationality. Search for feelings that are part" | |
| "of human existence. But these feelings should not have been labeled yet. They exist, but they don't have a label." | |
| "Define these feelings and invent a label for each of these feeling. Print the label in a bold typo. Also provide me with an example sentence someone could say and" | |
| "explain your reasoning for the word (label) you invented and why you think that this could be a human emotion." | |
| "when experiences these feelings. Also provide an antonym. Focus only on the English Language. Display your output in this HTML format: [<li><strong>{Name of the new emotion}</strong>" | |
| "<p>{Description of the new emotion}</p><p>Example sentence: {Example sentence}</p><p>Explanation: {Explanation why this could be an interestingly emotion}</p>]"}, | |
| {"role" : "user", "content" : "Generate 1 new feeling"}, | |
| ] | |
| import os | |
| from google.colab import files | |
| from google.colab import drive | |
| def emo(name, temper, save_response): | |
| prompters = Prompter("gpt-3.5-turbo", temper) | |
| response_text = prompters.prompt_model_print(new_emotions_prompt) | |
| if save_response: | |
| save_response_to_file(response_text) | |
| return response_text | |
| def save_emotion_output(response_text): | |
| with open("/content/drive/MyDrive/emotion_output.html", "a") as file: | |
| file.write(response_text) | |
| file.write("\n") | |
| print("Saved emotion output to emotion_output.html") | |
| with gr.Blocks() as demo: | |
| with gr.Row(): | |
| slider = gr.Slider(0, 1, label='Temperature', | |
| info="Choose a float value between 0 and 1 to set the 'creativity' " | |
| "of the machine. Keep in mind that a value of 1 (highest) may create inconsistent " | |
| "but also interesting results.") | |
| emo_out = gr.Textbox(value='text', label="Output", lines=3) | |
| #save_btn = gr.Button(label="Save Emotion") | |
| with gr.Row(): | |
| btn = gr.Button(value="Generate Emotion") | |
| btn.click(emo, inputs=slider, outputs = emo_out) | |
| save_btn = gr.Button(value="Save Emotion") | |
| save_btn.click(save_emotion_output, inputs=emo_out) | |
| if __name__ == "__main__": | |
| demo.launch() | |