In this comprehensive guide, we will walk you through building your own AI Story Generator from scratch. The process includes setting up the environment, loading a pre-trained GPT-2 model, creating a function to generate stories, and deploying an interactive web interface using Gradio. With Python, Hugging Face Transformers, and Gradio, you'll create a powerful system capable of generating creative and coherent stories from simple prompts. Plus, you can follow along with a detailed YouTube video walkthrough that guides you through each step.

In this comprehensive guide, we will walk you through building your own AI Story Generator.

Why Build This AI?

The AI has several real-world uses, such as:

• Story Generation & Creative Writing
• Chatbots & Virtual Assistants
• Content Writing & Marketing
• Code Generation & Explanation
• Email & Report Automation

Let's Build It

Libraries Used

• Transformers: Hugging Face’s transformers library allows easy access to pre-trained models like GPT-2, GPT-3, etc.
• Gradio: Gradio provides an interactive interface to deploy and test the model quickly.

                                
!pip install transformers gradio
                                                  
                                
                              

Loading Pre-Trained Model:

Purpose: We load a pre-trained model (GPT-2 here) to generate text based on the input prompt.

Why: GPT-2 is widely used for text generation tasks due to its ability to create fluent, coherent text.

                                  
import gradio as gr
from transformers import pipeline
                                  
                                

User Input and Text Generation

Purpose: The function generate_story takes a prompt (e.g., "a cat") and generates a text story.

Why: We customize the input prompt to guide the model in generating text that's relevant to the user's query. The max_length parameter limits the length of the generated story to avoid excessive run-time.

                                  
def generate_story(prompt):
story = story_generator(prompt,
                        max_length=300,  # Generates longer stories
                        do_sample=True,
                        temperature=0.8,  # Controls randomness
                        top_p=0.9,
                        top_k=50)
return story[0]["generated_text"]                                                              
                                    
                                

Gradio Interface

Purpose: Gradio allows us to quickly create a simple web interface where users can input prompts and get text output.

Why: Gradio is easy to use and provides a quick solution for interacting with models in real time, without needing complex frontend development.

                                  
interface = gr.Interface(
    fn=generate_story,  # Function to generate stories
    inputs=gr.Textbox(lines=2, placeholder="Enter a story theme or opening line..."),
    outputs="text",
    title="📝 AI Story Generator",
    description="Enter a story theme or opening line, and the AI will generate a short story for you!",
)                                                                                                                                        
                                    
                                

                                    
interface.launch(share=True)