app.py

from dotenv import load_dotenv
import os
import gradio as gr
import openai
from fpdf import FPDF
from datetime import datetime
from gtts import gTTS

# Load environment variables from .env
load_dotenv()
api_key = os.getenv("OPENAI_API_KEY")
if not api_key:
    raise ValueError("❌ OPENAI_API_KEY not found in environment.")

openai.api_key = api_key

# Directory to save stories
story_dir = "storybot_stories"
os.makedirs(story_dir, exist_ok=True)

def save_story_as_pdf(story_text, character_name=""):
    date_str = datetime.now().strftime("%Y-%m-%d_%H-%M-%S")
    file_name = f"{character_name or 'story'}_{date_str}.pdf"
    file_path = os.path.join(story_dir, file_name)

    pdf = FPDF()
    pdf.add_page()
    pdf.set_font("Arial", 'B', 16)
    pdf.cell(200, 10, txt=f"{character_name}'s Adventure", ln=True, align='C')
    pdf.set_font("Arial", size=12)
    pdf.ln(10)

    for line in story_text.split('\n'):
        pdf.multi_cell(0, 10, line)

    pdf.add_page()
    pdf.set_font("Arial", 'I', 14)
    pdf.cell(200, 10, txt="The End", ln=True, align='C')
    pdf.ln(10)
    pdf.set_font("Arial", size=10)
    pdf.cell(200, 10, txt="Created with Magic StoryBot", ln=True, align='C')

    pdf.output(file_path)
    return file_path

def text_to_speech(text):
    audio_path = "story_audio.mp3"
    tts = gTTS(text)
    tts.save(audio_path)
    return audio_path

def generate_story(age_group, theme, character_name, tone, length):
    import openai
    from openai import OpenAI

    # Reconstruct the prompt
    length_instruction = {
        "Short": "about 100 words",
        "Medium": "about 200 words",
        "Long": "about 350 words"
    }.get(length, "about 150 words")

    system_prompt = f"""
You are a children's storyteller. Create a {length_instruction}, age-appropriate story for a child aged {age_group}.
Use the theme "{theme}" and the main character's name is "{character_name}".
Make the tone of the story {tone.lower()}. End it with the phrase "The End".
"""

    # ⚠️ NEW SDK STYLE: OpenAI client
    client = OpenAI(api_key=os.getenv("OPENAI_API_KEY"))

    try:
        response = client.chat.completions.create(
            model="gpt-3.5-turbo",
            messages=[
                {"role": "system", "content": system_prompt},
                {"role": "user", "content": "Please generate the story now."}
            ],
            temperature=0.7,
            max_tokens=1024
        )
        story = response.choices[0].message.content
        print("✅ Story generated")
    except Exception as e:
        import traceback
        print("❌ LLM ERROR:\n", traceback.format_exc())
        story = "An error occurred while generating the story."

    audio_path = text_to_speech(story)
    return story, audio_path


with gr.Blocks() as app:
    gr.Markdown("## 📖 Magic StoryBot for Kids")

    age_group = gr.Dropdown(["1–3", "3–5", "6–8", "9–12"], label="Select Age Group")
    theme = gr.Dropdown(["Animals", "Adventure", "Magic", "Mystery", "Bedtime"], label="Choose a Story Theme")
    character_name = gr.Textbox(label="Main Character's Name", placeholder="e.g., Luna, Max")
    tone = gr.Dropdown(["Happy", "Funny", "Gentle", "Spooky", "Exciting", "Calm"], label="Story Tone")
    length = gr.Radio(["Short", "Medium", "Long"], label="Story Length")

    story_output = gr.Textbox(label="Generated Story", lines=10)
    story_audio = gr.Audio(label="Listen", autoplay=True)
    pdf_output = gr.File(label="Download Your Story", file_types=[".pdf"], visible=True)

    def start_story(age, theme, name, tone, length):
        story, audio = generate_story(age, theme, name, tone, length)
        return story, audio

    def export_pdf(story, name):
        return save_story_as_pdf(story, name)

    start_btn = gr.Button("🌟 Generate Story")
    save_btn = gr.Button("📥 Save Story as PDF")

    start_btn.click(start_story,
                    inputs=[age_group, theme, character_name, tone, length],
                    outputs=[story_output, story_audio])

    save_btn.click(export_pdf,
                   inputs=[story_output, character_name],
                   outputs=pdf_output)

app.launch()