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Update app.py
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app.py
CHANGED
@@ -4,28 +4,23 @@ import time
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from datetime import datetime
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import tempfile
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import os
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from moviepy.editor import ImageClip, concatenate_videoclips
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from gradio_client import Client
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from PIL import Image
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import edge_tts
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import asyncio
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import warnings
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warnings.filterwarnings('ignore')
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# Initialize Gradio
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def initialize_clients():
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try:
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return image_client
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except Exception as e:
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print(f"Error initializing
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return None
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if gr.NO_RELOAD:
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# Initialize client in NO_RELOAD block to prevent multiple initializations
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CLIENT = initialize_clients()
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STORY_GENRES = [
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@@ -40,10 +35,10 @@ STORY_GENRES = [
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]
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STORY_STRUCTURES = {
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"Three Act": "Setup
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"Hero's Journey": "Ordinary World -> Call to Adventure -> Trials ->
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"Five Act": "Exposition -> Rising Action -> Climax -> Falling Action -> Resolution",
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"Seven Point": "Hook -> Plot Turn 1 -> Pinch Point 1 -> Midpoint ->
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}
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async def generate_speech(text, voice="en-US-AriaNeural"):
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@@ -85,22 +80,6 @@ def generate_story(prompt, model_choice):
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except Exception as e:
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return f"Error generating story: {str(e)}"
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def process_story(story_text, num_scenes=5):
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"""Break story into scenes for visualization"""
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if not story_text:
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return []
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sentences = story_text.split('.')
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scenes = []
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scene_length = max(1, len(sentences) // num_scenes)
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for i in range(0, len(sentences), scene_length):
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scene = '. '.join(sentences[i:i+scene_length]).strip()
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if scene:
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scenes.append(scene)
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return scenes[:num_scenes]
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def story_generator_interface(prompt, genre, structure, model_choice, num_scenes, words_per_scene):
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"""Main story generation and multimedia creation function"""
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try:
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@@ -110,20 +89,23 @@ def story_generator_interface(prompt, genre, structure, model_choice, num_scenes
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# Generate story
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story = generate_story(story_prompt, model_choice)
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if story.startswith("Error"):
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return story, None
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# Generate speech
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audio_path = asyncio.run(generate_speech(story))
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return story,
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except Exception as e:
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error_msg = f"An error occurred: {str(e)}"
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return error_msg, None
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# Create Gradio interface
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with gr.Blocks(title="AI Story Generator") as demo:
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gr.Markdown("
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with gr.Row():
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with gr.Column():
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@@ -168,17 +150,31 @@ with gr.Blocks(title="AI Story Generator") as demo:
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story_output = gr.Textbox(
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label="Generated Story",
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lines=10,
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interactive=False
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)
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with gr.Row():
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audio_output = gr.Audio(
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generate_btn.click(
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fn=story_generator_interface,
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inputs=[
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)
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if __name__ == "__main__":
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demo.launch(reload=True)
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from datetime import datetime
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import tempfile
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import os
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import edge_tts
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import asyncio
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import warnings
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from gradio_client import Client
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warnings.filterwarnings('ignore')
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# Initialize Gradio client
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def initialize_clients():
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try:
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client = Client("awacke1/Arxiv-Paper-Search-And-QA-RAG-Pattern")
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return client
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except Exception as e:
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print(f"Error initializing client: {str(e)}")
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return None
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if gr.NO_RELOAD:
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CLIENT = initialize_clients()
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STORY_GENRES = [
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]
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STORY_STRUCTURES = {
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"Three Act": "Setup -> Confrontation -> Resolution",
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"Hero's Journey": "Ordinary World -> Call to Adventure -> Trials -> Return",
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"Five Act": "Exposition -> Rising Action -> Climax -> Falling Action -> Resolution",
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"Seven Point": "Hook -> Plot Turn 1 -> Pinch Point 1 -> Midpoint -> Plot Turn 2 -> Resolution"
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}
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async def generate_speech(text, voice="en-US-AriaNeural"):
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except Exception as e:
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return f"Error generating story: {str(e)}"
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def story_generator_interface(prompt, genre, structure, model_choice, num_scenes, words_per_scene):
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"""Main story generation and multimedia creation function"""
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try:
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# Generate story
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story = generate_story(story_prompt, model_choice)
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if story.startswith("Error"):
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return story, None
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# Generate speech
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audio_path = asyncio.run(generate_speech(story))
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return story, audio_path
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except Exception as e:
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error_msg = f"An error occurred: {str(e)}"
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return error_msg, None
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# Create Gradio interface
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with gr.Blocks(title="AI Story Generator") as demo:
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gr.Markdown("""
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# ๐ญ AI Story Generator
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Generate creative stories with AI and listen to them!
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""")
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with gr.Row():
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with gr.Column():
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story_output = gr.Textbox(
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label="Generated Story",
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lines=10,
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interactive=False
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)
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with gr.Row():
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audio_output = gr.Audio(
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label="Story Narration",
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type="filepath"
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)
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# Fixed the click event outputs
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generate_btn.click(
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fn=story_generator_interface,
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inputs=[
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prompt_input,
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genre_input,
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structure_input,
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model_choice,
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num_scenes,
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words_per_scene
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],
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outputs=[
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story_output,
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audio_output
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]
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)
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if __name__ == "__main__":
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demo.launch(reload=True)
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