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Create app.py
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app.py
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import gradio as gr
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from transformers import pipeline
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from gtts import gTTS
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from io import BytesIO
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from PIL import Image
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# Initialize transformers for each task
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text_generation_pipe = pipeline("text-generation", model="gpt2")
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text_to_speech_pipe = pipeline("text-to-speech", model="google")
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image_generation_pipe = pipeline("image-generation", model="stable-diffusion")
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# Function for generating stories, audio, and illustrations
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def generate_story_and_illustration(prompt, character_name):
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# Generate story text
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story_text = text_generation_pipe(prompt=f"Once upon a time, {character_name}... {prompt}", max_length=150)[0]["generated_text"]
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# Generate audio from story text
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tts_audio = gTTS(text=story_text, lang="en")
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audio_buffer = BytesIO()
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tts_audio.save(audio_buffer)
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audio_buffer.seek(0)
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# Generate image based on story
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image = image_generation_pipe(prompt=story_text)
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# Return generated story, audio, and image
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return story_text, audio_buffer.read(), image
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# Gradio interface for user interaction
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interface = gr.Interface(
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fn=generate_story_and_illustration,
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inputs=[
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gr.Textbox(label="Start your story with..."),
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gr.Textbox(label="Give your character a name:"),
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],
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outputs=[
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gr.Textbox(label="Story"),
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gr.Audio(label="Listen to the story"),
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gr.Image(label="See the story come alive"),
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],
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title="Storyteller Playground",
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description="Create amazing stories with the help of AI!",
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theme="kids",
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)
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# Launch the app
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interface.launch()
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