app.py

import torch
import transformers
from transformers import AutoTokenizer, AutoModelForCausalLM
import gradio as gr
import random
import re
from typing import Dict, List
import warnings
import os

warnings.filterwarnings('ignore')

# Set environment variables for better performance
os.environ['TOKENIZERS_PARALLELISM'] = 'false'

class AIStoryteller:
    """AI Storyteller optimized for Hugging Face Spaces"""
    
    def __init__(self):
        self.model = None
        self.tokenizer = None
        self.model_loaded = False
        self.load_model()
    
    def load_model(self):
        """Load the AI model"""
        try:
            print("📥 Loading DistilGPT-2 model...")
            model_name = "distilgpt2"
            
            self.tokenizer = AutoTokenizer.from_pretrained(model_name)
            self.model = AutoModelForCausalLM.from_pretrained(
                model_name,
                torch_dtype=torch.float16 if torch.cuda.is_available() else torch.float32,
            )
            
            if self.tokenizer.pad_token is None:
                self.tokenizer.pad_token = self.tokenizer.eos_token
            
            self.model_loaded = True
            print("✅ Model loaded successfully!")
            return True
            
        except Exception as e:
            print(f"❌ Model loading failed: {e}")
            return False
    
    def generate_story(self, prompt, max_length=100):
        """Generate a story from a prompt"""
        if not self.model_loaded:
            return "❌ Model not loaded. Please try again."
        
        try:
            inputs = self.tokenizer.encode(prompt, return_tensors='pt', max_length=256, truncation=True)
            
            with torch.no_grad():
                outputs = self.model.generate(
                    inputs,
                    max_length=min(inputs.shape[1] + max_length, 256),
                    temperature=0.8,
                    do_sample=True,
                    top_p=0.9,
                    top_k=50,
                    pad_token_id=self.tokenizer.eos_token_id,
                    no_repeat_ngram_size=2,
                    repetition_penalty=1.1
                )
            
            full_story = self.tokenizer.decode(outputs[0], skip_special_tokens=True)
            
            if full_story.startswith(prompt):
                generated_part = full_story[len(prompt):].strip()
                return f"{prompt} {generated_part}"
            else:
                return full_story
                
        except Exception as e:
            return f"❌ Error generating story: {str(e)}"

# Initialize the storyteller
print("🚀 Initializing AI Storyteller...")
storyteller = AIStoryteller()

def generate_story_interface(prompt, genre, story_length):
    """Main interface function"""
    if not prompt or not prompt.strip():
        return "❌ Please enter a story prompt!"
    
    genre_starters = {
        "Fantasy": "In a realm of magic and wonder,",
        "Sci-Fi": "In the distant future among the stars,",
        "Mystery": "On a foggy night filled with secrets,",
        "Horror": "In the darkness where nightmares dwell,",
        "Romance": "When two hearts found each other,",
        "Adventure": "On a daring quest for glory,",
        "Comedy": "In a world of laughter and mishaps,",
        "Drama": "In a tale of human emotion,"
    }
    
    if genre in genre_starters:
        full_prompt = f"{genre_starters[genre]} {prompt.strip()}"
    else:
        full_prompt = prompt.strip()
    
    return storyteller.generate_story(full_prompt, max_length=int(story_length))

# Create Gradio interface
interface = gr.Interface(
    fn=generate_story_interface,
    inputs=[
        gr.Textbox(
            label="📝 Story Prompt",
            placeholder="Enter your story idea (e.g., 'a detective finds a mysterious letter')",
            lines=3
        ),
        gr.Dropdown(
            choices=["Fantasy", "Sci-Fi", "Mystery", "Horror", "Romance", "Adventure", "Comedy", "Drama"],
            label="🎭 Genre",
            value="Fantasy"
        ),
        gr.Slider(
            minimum=30,
            maximum=120,
            value=80,
            label="📏 Story Length"
        )
    ],
    outputs=gr.Textbox(
        label="📚 Generated Story",
        lines=8
    ),
    title="🎭 AI Storyteller",
    description="""
    🌟 **Create Amazing Stories with AI!** 🌟
    
    Enter a creative prompt, choose your favorite genre, and let AI craft a unique story for you!
    Perfect for writers, students, and anyone who loves creative storytelling.
    """,
    examples=[
        ["a young wizard discovers a hidden library", "Fantasy", 100],
        ["a detective receives a cryptic phone call", "Mystery", 80],
        ["robots develop feelings", "Sci-Fi", 90],
        ["two strangers meet in a coffee shop", "Romance", 70],
        ["an explorer finds a secret cave", "Adventure", 85]
    ],
    theme=gr.themes.Soft()
)

# Launch the app
if __name__ == "__main__":
    interface.launch()