import tiktoken import torch import gradio as gr import model from model import run_train, gen_text class GPTConfig: block_size: int = 1024 # max sequence length vocab_size: int = 50304 # number of tokens: 50,000 BPE merges + 256 bytes tokens + 1 <|endoftext|> token n_layer: int = 12 # number of layers n_head: int = 12 # number of heads n_embd: int = 768 # embedding dimension # Define generation function def generate_text(prompt, max_length=50, num_return_sequences=10): """ Generates humorous text using the GPT-2 model based on the provided prompt and user-specified parameters. Args: prompt (str): The starting text for the generation. max_length (int, optional): The maximum length of the generated text. Defaults to 100. num_return_sequences (int, optional): The number of different text sequences to generate. Defaults to 10. Returns: list: A list of generated humorous text sequences. """ start_tokens = prompt generated_texts = gen_text(model2, start_tokens, max_length, num_return_sequences) return generated_texts # Humorous prompt options prompts = [ "The automatic doors at the grocery store, tired of people holding them open for conversations, developed a mischievous sense of humor.", "The self-driving car, fed up with rush hour traffic, decided to take a scenic detour through the countryside.", "The fridge goes on a hunger strike", "A colony of ants, inspired by a motivational poster, embarked on a quest to climb the tallest tree in the garden.", "A particularly chatty parrot accidentally spilled the villain's evil plan during a casual conversation with the local mailman.", "TA squirrel declares war on the birdfeeder...", "The refrigerator, overflowing with forgotten groceries, staged a silent protest, refusing to cool anything until some order was restored.", "A fortune cookie predicts world domination" ] # Gradio interface with user inputs and dropdown for prompt selection interface = gr.Interface( fn=generate_text, inputs=[ gr.Dropdown(choices=prompts, label="Pre-defined Prompt"), gr.Slider(minimum=10, maximum=200, label="Max Text Length", value=100, step = 1), gr.Slider(minimum=1, maximum=20, label="Number of Outputs", value=10,step = 1) ], outputs="text", title="Humorous Text Generator with GPT-2", description="Get a chuckle with AI-generated funny stories! Provide a prompt (or choose one), adjust the desired text length and number of outputs, and let the AI do the rest!", ) # Launch the Gradio app interface.launch()