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Update app.py
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app.py
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@@ -1,9 +1,8 @@
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# kukubuddy_ai_light.py
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import gradio as gr
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from transformers import pipeline
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from TTS.api import TTS
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# Small & memory-efficient models
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summarizer = pipeline("summarization", model="sshleifer/distilbart-cnn-12-6")
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story_gen = pipeline("text2text-generation", model="google/flan-t5-small")
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@@ -22,24 +21,71 @@ def generate_audio_digest(topic):
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# ---------- Feature 2: Interactive Story Generator ----------
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story_cache = {}
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def generate_story(genre, choice):
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if genre not in story_cache:
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story_cache[genre] = base_prompt
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if choice:
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generated = story_gen(story_cache[genre])[0]['generated_text']
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story_cache[genre] = generated
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story_audio_path = "story.wav"
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tts.tts_to_file(text=generated, file_path=story_audio_path)
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return generated, story_audio_path
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# ---------- Gradio UI ----------
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digest_ui = gr.Interface(
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# kukubuddy_ai_light.py
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import random
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import gradio as gr
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from transformers import pipeline
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from TTS.api import TTS
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# Small & memory-efficient models
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summarizer = pipeline("summarization", model="sshleifer/distilbart-cnn-12-6")
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story_gen = pipeline("text2text-generation", model="google/flan-t5-small")
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# ---------- Feature 2: Interactive Story Generator ----------
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story_cache = {}
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# def generate_story(genre, choice):
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# base_prompt = f"Start a short {genre} story. "
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# if genre not in story_cache:
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# story_cache[genre] = base_prompt
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# if choice:
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# story_cache[genre] += f"User chose: {choice}. Then, "
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# generated = story_gen(story_cache[genre])[0]['generated_text']
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# story_cache[genre] = generated
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# story_audio_path = "story.wav"
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# tts.tts_to_file(text=generated, file_path=story_audio_path)
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# return generated, story_audio_path
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# More vivid genre-specific prompts
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genre_templates = {
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"fantasy": "In a land of dragons and forgotten magic, a tale begins. ",
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"sci-fi": "In a distant galaxy, governed by AI and cosmic laws, a new story unfolds. ",
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"thriller": "It started on a stormy night, when a single knock on the door changed everything. ",
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"romance": "They locked eyes for the first time in a quiet bookstore. ",
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"horror": "The clock struck midnight, and something moved in the shadows. ",
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"myth": "Long before time was time, gods and mortals shared the same sky. ",
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"comedy": "There was once a chicken who wanted to cross a space highway... "
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}
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# Random creative twist options
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twist_prompts = [
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"But little did they know, everything was about to change.",
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"Suddenly, a mysterious voice echoed in the air.",
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"Out of nowhere, a glowing symbol appeared.",
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"But fate had other plans.",
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"And just like that, the rules of the world shifted."
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]
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def generate_story(genre, choice):
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genre = genre.lower()
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base_prompt = genre_templates.get(genre, f"Begin a story in the genre: {genre}. ")
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# If it's a new story
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if genre not in story_cache:
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story_cache[genre] = base_prompt
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# Add user decision and twist
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if choice:
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twist = random.choice(twist_prompts)
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story_cache[genre] += f"\nThe user chose: '{choice}'. {twist} "
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# Generate new content
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generated = story_gen(story_cache[genre])[0]['generated_text']
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# Update cache for continuity
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story_cache[genre] = generated
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# Audio output
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story_audio_path = "story.wav"
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tts.tts_to_file(text=generated, file_path=story_audio_path)
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return generated, story_audio_path
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# ---------- Gradio UI ----------
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digest_ui = gr.Interface(
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