Spaces:
Running
Running
# # kukubuddy_ai_light.py | |
# import random | |
# import gradio as gr | |
# from transformers import pipeline | |
# from TTS.api import TTS | |
# # Small & memory-efficient models | |
# summarizer = pipeline("summarization", model="sshleifer/distilbart-cnn-12-6") | |
# story_gen = pipeline("text2text-generation", model="google/flan-t5-small") | |
# tts = TTS(model_name="tts_models/en/ljspeech/tacotron2-DDC", progress_bar=False, gpu=False) | |
# # ---------- Feature 1: Daily Audio Digest ---------- | |
# def generate_audio_digest(topic): | |
# dummy_text = f"This is a sample Kuku FM podcast about {topic}. " * 10 | |
# summary = summarizer(dummy_text, max_length=300, min_length=30, do_sample=False)[0]["summary_text"] | |
# audio_path = "digest.wav" | |
# tts.tts_to_file(text=summary, file_path=audio_path) | |
# return summary, audio_path | |
# # ---------- Feature 2: Interactive Story Generator ---------- | |
# story_cache = {} | |
# # More vivid genre-specific prompts | |
# genre_templates = { | |
# "fantasy": "In a land of dragons and forgotten magic, a tale begins. ", | |
# "sci-fi": "In a distant galaxy, governed by AI and cosmic laws, a new story unfolds. ", | |
# "thriller": "It started on a stormy night, when a single knock on the door changed everything. ", | |
# "romance": "They locked eyes for the first time in a quiet bookstore. ", | |
# "horror": "The clock struck midnight, and something moved in the shadows. ", | |
# "myth": "Long before time was time, gods and mortals shared the same sky. ", | |
# "comedy": "There was once a chicken who wanted to cross a space highway... " | |
# } | |
# # Random creative twist options | |
# twist_prompts = [ | |
# "But little did they know, everything was about to change.", | |
# "Suddenly, a mysterious voice echoed in the air.", | |
# "Out of nowhere, a glowing symbol appeared.", | |
# "But fate had other plans.", | |
# "And just like that, the rules of the world shifted." | |
# ] | |
# def generate_story(genre, choice): | |
# genre = genre.lower() | |
# base_prompt = genre_templates.get(genre, f"Begin a story in the genre: {genre}. ") | |
# # If it's a new story | |
# if genre not in story_cache: | |
# story_cache[genre] = base_prompt | |
# # Add user decision and twist | |
# if choice: | |
# twist = random.choice(twist_prompts) | |
# story_cache[genre] += f"\nThe user chose: '{choice}'. {twist} " | |
# # Generate new content | |
# generated = story_gen(story_cache[genre])[0]['generated_text'] | |
# # Update cache for continuity | |
# story_cache[genre] = generated | |
# # Audio output | |
# story_audio_path = "story.wav" | |
# tts.tts_to_file(text=generated, file_path=story_audio_path) | |
# return generated, story_audio_path | |
# # ---------- Gradio UI ---------- | |
# digest_ui = gr.Interface( | |
# fn=generate_audio_digest, | |
# inputs=gr.Textbox(label="Enter your topic of interest", placeholder="e.g. motivation, productivity"), | |
# outputs=[gr.Text(label="Summary"), gr.Audio(label="Audio Digest", type="filepath")], | |
# title="🎧 KukuBuddy: Daily Audio Digest" | |
# ) | |
# story_ui = gr.Interface( | |
# fn=generate_story, | |
# inputs=[ | |
# gr.Textbox(label="Genre", placeholder="e.g. sci-fi, myth, thriller"), | |
# gr.Textbox(label="Your last choice", placeholder="e.g. Enter the castle") | |
# ], | |
# outputs=[gr.Text(label="Next Scene"), gr.Audio(label="Narration", type="filepath")], | |
# title="📖 KukuBuddy: Interactive Story" | |
# ) | |
# app = gr.TabbedInterface([digest_ui, story_ui], tab_names=["📌 Daily Digest", "🧠 Interactive Story"]) | |
# if __name__ == "__main__": | |
# app.launch() | |
# import random | |
# import gradio as gr | |
# from transformers import pipeline | |
# from TTS.api import TTS | |
# # Small & memory-efficient models | |
# summarizer = pipeline("summarization", model="sshleifer/distilbart-cnn-12-6") | |
# story_gen = pipeline("text2text-generation", model="google/flan-t5-small") | |
# tts = TTS(model_name="tts_models/en/ljspeech/tacotron2-DDC", progress_bar=False, gpu=False) | |
# # ---------- Feature 1: Daily Audio Digest ---------- | |
# def generate_audio_digest(topic): | |
# dummy_text = f"This is a sample Kuku FM podcast about {topic}. " * 10 | |
# summary = summarizer(dummy_text, max_length=300, min_length=30, do_sample=False)[0]["summary_text"] | |
# audio_path = "digest.wav" | |
# tts.tts_to_file(text=summary, file_path=audio_path) | |
# return summary, audio_path, audio_path # return twice for play and download | |
# # ---------- Feature 2: Interactive Story Generator ---------- | |
# story_cache = {} | |
# # More vivid genre-specific prompts | |
# genre_templates = { | |
# "fantasy": "In a land of dragons and forgotten magic, a tale begins. ", | |
# "sci-fi": "In a distant galaxy, governed by AI and cosmic laws, a new story unfolds. ", | |
# "thriller": "It started on a stormy night, when a single knock on the door changed everything. ", | |
# "romance": "They locked eyes for the first time in a quiet bookstore. ", | |
# "horror": "The clock struck midnight, and something moved in the shadows. ", | |
# "myth": "Long before time was time, gods and mortals shared the same sky. ", | |
# "comedy": "There was once a chicken who wanted to cross a space highway... " | |
# } | |
# # Random creative twist options | |
# twist_prompts = [ | |
# "But little did they know, everything was about to change.", | |
# "Suddenly, a mysterious voice echoed in the air.", | |
# "Out of nowhere, a glowing symbol appeared.", | |
# "But fate had other plans.", | |
# "And just like that, the rules of the world shifted." | |
# ] | |
# def generate_story(genre, choice): | |
# genre = genre.lower() | |
# base_prompt = genre_templates.get(genre, f"Begin a story in the genre: {genre}. ") | |
# # If it's a new story | |
# if genre not in story_cache: | |
# story_cache[genre] = base_prompt | |
# # Add user decision and twist | |
# if choice: | |
# twist = random.choice(twist_prompts) | |
# story_cache[genre] += f"\nThe user chose: '{choice}'. {twist} " | |
# # Generate new content | |
# generated = story_gen(story_cache[genre])[0]['generated_text'] | |
# # Update cache for continuity | |
# story_cache[genre] = generated | |
# # Audio output | |
# story_audio_path = "story.wav" | |
# tts.tts_to_file(text=generated, file_path=story_audio_path) | |
# return generated, story_audio_path, story_audio_path # return twice for play and download | |
# # ---------- Gradio UI ---------- | |
# digest_ui = gr.Interface( | |
# fn=generate_audio_digest, | |
# inputs=gr.Textbox(label="Enter your topic of interest", placeholder="e.g. motivation, productivity"), | |
# outputs=[ | |
# gr.Text(label="Summary"), | |
# gr.Audio(label="🔊 Audio Digest", type="filepath"), | |
# gr.File(label="⬇️ Download Audio File") | |
# ], | |
# title="🎧 KukuBuddy: Daily Audio Digest" | |
# ) | |
# story_ui = gr.Interface( | |
# fn=generate_story, | |
# inputs=[ | |
# gr.Textbox(label="Genre", placeholder="e.g. sci-fi, myth, thriller"), | |
# gr.Textbox(label="Your last choice", placeholder="e.g. Enter the castle") | |
# ], | |
# outputs=[ | |
# gr.Text(label="📖 Next Scene"), | |
# gr.Audio(label="🔊 Narration", type="filepath"), | |
# gr.File(label="⬇️ Download Narration") | |
# ], | |
# title="📖 KukuBuddy: Interactive Story" | |
# ) | |
# app = gr.TabbedInterface( | |
# [digest_ui, story_ui], | |
# tab_names=["📌 Daily Digest", "🧠 Interactive Story"] | |
# ) | |
# if __name__ == "__main__": | |
# app.launch() | |
# kukubuddy_ai_light.py | |
# import random | |
# import gradio as gr | |
# from transformers import pipeline | |
# from TTS.api import TTS | |
# # Small & memory-efficient models | |
# summarizer = pipeline("summarization", model="sshleifer/distilbart-cnn-12-6") | |
# story_gen = pipeline("text2text-generation", model="google/flan-t5-small") | |
# tts = TTS(model_name="tts_models/en/ljspeech/tacotron2-DDC", progress_bar=False, gpu=False) | |
# # ---------- Feature 1: Daily Audio Digest ---------- | |
# def generate_audio_digest(topic): | |
# dummy_text = f"This is a sample Kuku FM podcast about {topic}. " * 10 | |
# summary = summarizer(dummy_text, max_length=300, min_length=30, do_sample=False)[0]["summary_text"] | |
# audio_path = "digest.wav" | |
# tts.tts_to_file(text=summary, file_path=audio_path) | |
# return summary, audio_path, audio_path | |
# # ---------- Feature 2: Interactive Story Generator ---------- | |
# # Genre-specific openers | |
# genre_templates = { | |
# "fantasy": "In a land of dragons and forgotten magic, a tale begins.", | |
# "sci-fi": "In a distant galaxy, governed by AI and cosmic laws, a new story unfolds.", | |
# "thriller": "It started on a stormy night, when a single knock on the door changed everything.", | |
# "romance": "They locked eyes for the first time in a quiet bookstore.", | |
# "horror": "The clock struck midnight, and something moved in the shadows.", | |
# "myth": "Long before time was time, gods and mortals shared the same sky.", | |
# "comedy": "There was once a chicken who wanted to cross a space highway..." | |
# } | |
# # Optional creative twists for inspiration (no longer injected into prompt text) | |
# twist_prompts = [ | |
# "But little did they know, everything was about to change.", | |
# "Suddenly, a mysterious voice echoed in the air.", | |
# "Out of nowhere, a glowing symbol appeared.", | |
# "But fate had other plans.", | |
# "And just like that, the rules of the world shifted." | |
# ] | |
# def generate_story(genre, choice): | |
# genre = genre.lower() | |
# base_prompt = genre_templates.get(genre, f"Begin a story in the genre: {genre}.") | |
# prompt = base_prompt | |
# if choice: | |
# twist = random.choice(twist_prompts) | |
# prompt += f" The character decided to '{choice}'. {twist}" | |
# generated = story_gen(prompt)[0]['generated_text'] | |
# story_audio_path = "story.wav" | |
# tts.tts_to_file(text=generated, file_path=story_audio_path) | |
# return generated, story_audio_path, story_audio_path | |
# # ---------- Gradio UI ---------- | |
# digest_ui = gr.Interface( | |
# fn=generate_audio_digest, | |
# inputs=gr.Textbox(label="Enter your topic of interest", placeholder="e.g. motivation, productivity"), | |
# outputs=[ | |
# gr.Textbox(label="Summary", lines=5), | |
# gr.Audio(label="🔊 Audio Digest", type="filepath"), | |
# gr.File(label="⬇️ Download Audio File") | |
# ], | |
# title="🎧 KukuBuddy: Daily Audio Digest" | |
# ) | |
# story_ui = gr.Interface( | |
# fn=generate_story, | |
# inputs=[ | |
# gr.Textbox(label="Genre", placeholder="e.g. sci-fi, myth, thriller"), | |
# gr.Textbox(label="Your last choice", placeholder="e.g. Enter the castle") | |
# ], | |
# outputs=[ | |
# gr.Textbox(label="📖 Next Scene", lines=5), | |
# gr.Audio(label="🔊 Narration", type="filepath"), | |
# gr.File(label="⬇️ Download Narration") | |
# ], | |
# title="📖 KukuBuddy: Interactive Story" | |
# ) | |
# app = gr.TabbedInterface( | |
# [digest_ui, story_ui], | |
# tab_names=["📌 Daily Digest", "🧠 Interactive Story"] | |
# ) | |
# if __name__ == "__main__": | |
# app.launch() | |
# import random | |
# import gradio as gr | |
# from transformers import pipeline | |
# from TTS.api import TTS | |
# # --------------- Lightweight Models --------------- | |
# summarizer = pipeline("summarization", model="sshleifer/distilbart-cnn-12-6") | |
# story_gen = pipeline("text-generation", model="datificate/gpt2-small-story", max_length=250, pad_token_id=50256) | |
# tts = TTS(model_name="tts_models/en/ljspeech/tacotron2-DDC", progress_bar=False, gpu=False) | |
# # --------------- Feature 1: Daily Audio Digest --------------- | |
# def generate_audio_digest(topic): | |
# dummy_text = f"This is a sample Kuku FM podcast about {topic}. " * 10 | |
# summary = summarizer(dummy_text, max_length=300, min_length=30, do_sample=False)[0]["summary_text"] | |
# audio_path = "digest.wav" | |
# tts.tts_to_file(text=summary, file_path=audio_path) | |
# return summary, audio_path, audio_path | |
# # --------------- Feature 2: Interactive Story Generator --------------- | |
# story_cache = {} | |
# # Genre-specific openers | |
# genre_templates = { | |
# "fantasy": "In a land of dragons and forgotten magic, a tale begins.", | |
# "sci-fi": "In a distant galaxy governed by AI and cosmic laws, a new story unfolds.", | |
# "thriller": "It started on a stormy night, when a knock on the door changed everything.", | |
# "romance": "They locked eyes for the first time in a quiet bookstore.", | |
# "horror": "The clock struck midnight, and something moved in the shadows.", | |
# "myth": "Long before time began, gods and mortals shared the same sky.", | |
# "comedy": "There was once a chicken who wanted to cross a space highway..." | |
# } | |
# def generate_story(genre, choice): | |
# genre = genre.lower() | |
# base_prompt = genre_templates.get(genre, f"Begin a story in the genre: {genre}.") | |
# prompt = base_prompt | |
# if choice: | |
# prompt += f" The character decided to '{choice}'." | |
# # GPT-style continuation | |
# prompt += " What happened next was" | |
# generated = story_gen(prompt, do_sample=True, top_p=0.92, temperature=0.9)[0]['generated_text'] | |
# # Extract only the new scene, not the input prompt | |
# next_scene = generated[len(prompt):].strip() | |
# story_audio_path = "story.wav" | |
# tts.tts_to_file(text=next_scene, file_path=story_audio_path) | |
# return next_scene, story_audio_path, story_audio_path | |
# # --------------- Gradio UI --------------- | |
# digest_ui = gr.Interface( | |
# fn=generate_audio_digest, | |
# inputs=gr.Textbox(label="🎯 Enter your topic of interest", placeholder="e.g. motivation, productivity", lines=2), | |
# outputs=[ | |
# gr.Textbox(label="📝 Summary", lines=4), | |
# gr.Audio(label="🎧 Audio Digest", type="filepath"), | |
# gr.File(label="⬇️ Download Audio") | |
# ], | |
# title="🎧 KukuBuddy: Daily Audio Digest" | |
# ) | |
# story_ui = gr.Interface( | |
# fn=generate_story, | |
# inputs=[ | |
# gr.Textbox(label="📚 Genre", placeholder="e.g. sci-fi, myth, thriller", lines=1), | |
# gr.Textbox(label="🎮 Your last choice", placeholder="e.g. Enter the castle", lines=2) | |
# ], | |
# outputs=[ | |
# gr.Textbox(label="📝 Next Scene", lines=4), | |
# gr.Audio(label="🎧 Narration", type="filepath"), | |
# gr.File(label="⬇️ Download Audio") | |
# ], | |
# title="📖 KukuBuddy: Interactive Story" | |
# ) | |
# app = gr.TabbedInterface([digest_ui, story_ui], tab_names=["📌 Daily Digest", "🧠 Interactive Story"]) | |
# if __name__ == "__main__": | |
# app.launch() | |
# import random | |
# import gradio as gr | |
# from transformers import pipeline | |
# from TTS.api import TTS | |
# # --------------- Lightweight Models --------------- | |
# summarizer = pipeline("summarization", model="sshleifer/distilbart-cnn-12-6") | |
# story_gen = pipeline("text-generation", model="mrm8488/GPT-2-finetuned-fiction", max_length=250, pad_token_id=50256) | |
# tts = TTS(model_name="tts_models/en/ljspeech/glow-tts", progress_bar=False, gpu=False) | |
# # --------------- Feature 1: Daily Audio Digest --------------- | |
# def generate_audio_digest(topic): | |
# dummy_text = f"This is a sample Kuku FM podcast about {topic}. " * 10 | |
# summary = summarizer(dummy_text, max_length=300, min_length=30, do_sample=False)[0]["summary_text"] | |
# audio_path = "digest.wav" | |
# tts.tts_to_file(text=summary, file_path=audio_path) | |
# return summary, audio_path, audio_path | |
# # --------------- Feature 2: Interactive Story Generator --------------- | |
# genre_templates = { | |
# "fantasy": "In a land of dragons and forgotten magic, a tale begins.", | |
# "sci-fi": "In a distant galaxy governed by AI and cosmic laws, a new story unfolds.", | |
# "thriller": "It started on a stormy night, when a knock on the door changed everything.", | |
# "romance": "They locked eyes for the first time in a quiet bookstore.", | |
# "horror": "The clock struck midnight, and something moved in the shadows.", | |
# "myth": "Long before time began, gods and mortals shared the same sky.", | |
# "comedy": "There was once a chicken who wanted to cross a space highway..." | |
# } | |
# def generate_story(genre, choice): | |
# genre = genre.lower() | |
# base_prompt = genre_templates.get(genre, f"Begin a story in the genre: {genre}.") | |
# prompt = base_prompt | |
# if choice: | |
# prompt += f" The character decided to '{choice}'." | |
# prompt += " What happened next was" | |
# generated = story_gen(prompt, do_sample=True, top_p=0.92, temperature=0.9)[0]['generated_text'] | |
# next_scene = generated[len(prompt):].strip() | |
# story_audio_path = "story.wav" | |
# tts.tts_to_file(text=next_scene, file_path=story_audio_path) | |
# return next_scene, story_audio_path, story_audio_path | |
# # --------------- Gradio UI --------------- | |
# digest_ui = gr.Interface( | |
# fn=generate_audio_digest, | |
# inputs=gr.Textbox(label="🎯 Enter your topic of interest", placeholder="e.g. motivation, productivity", lines=2), | |
# outputs=[ | |
# gr.Textbox(label="📝 Summary", lines=4), | |
# gr.Audio(label="🎧 Audio Digest", type="filepath"), | |
# gr.File(label="⬇️ Download Audio") | |
# ], | |
# title="🎧 KukuBuddy: Daily Audio Digest" | |
# ) | |
# story_ui = gr.Interface( | |
# fn=generate_story, | |
# inputs=[ | |
# gr.Textbox(label="📚 Genre", placeholder="e.g. sci-fi, myth, thriller", lines=1), | |
# gr.Textbox(label="🎮 Your last choice", placeholder="e.g. Enter the castle", lines=2) | |
# ], | |
# outputs=[ | |
# gr.Textbox(label="📝 Next Scene", lines=4), | |
# gr.Audio(label="🎧 Narration", type="filepath"), | |
# gr.File(label="⬇️ Download Audio") | |
# ], | |
# title="📖 KukuBuddy: Interactive Story" | |
# ) | |
# app = gr.TabbedInterface([digest_ui, story_ui], tab_names=["📌 Daily Digest", "🧠 Interactive Story"]) | |
# if __name__ == "__main__": | |
# app.launch() | |
import random | |
import gradio as gr | |
from transformers import pipeline, set_seed | |
from TTS.api import TTS | |
# --------------- Lightweight Models --------------- | |
summarizer = pipeline("summarization", model="sshleifer/distilbart-cnn-12-6") | |
story_gen = pipeline("text-generation", model="aspis/gpt2-genre-story-generation", max_length=250, pad_token_id=50256) | |
set_seed(42) | |
tts = TTS(model_name="tts_models/en/ljspeech/glow-tts", progress_bar=False, gpu=False) | |
# --------------- Feature 1: Daily Audio Digest --------------- | |
def generate_audio_digest(topic): | |
dummy_text = f"This is a sample Kuku FM podcast about {topic}. " * 10 | |
summary = summarizer(dummy_text, max_length=300, min_length=30, do_sample=False)[0]["summary_text"] | |
audio_path = "digest.wav" | |
tts.tts_to_file(text=summary, file_path=audio_path) | |
return summary, audio_path, audio_path | |
# --------------- Feature 2: Interactive Story Generator --------------- | |
# Genre-specific openers to guide the style of the story | |
genre_templates = { | |
"fantasy": "In a land of dragons and forgotten magic, a tale begins.", | |
"sci-fi": "In a distant galaxy governed by AI and cosmic laws, a new story unfolds.", | |
"thriller": "It started on a stormy night, when a knock on the door changed everything.", | |
"romance": "They locked eyes for the first time in a quiet bookstore.", | |
"horror": "The clock struck midnight, and something moved in the shadows.", | |
"myth": "Long before time began, gods and mortals shared the same sky.", | |
"comedy": "There was once a chicken who wanted to cross a space highway..." | |
} | |
def generate_story(genre, choice): | |
genre = genre.lower() | |
base_prompt = genre_templates.get(genre, f"Begin a story in the genre: {genre}.") | |
# Build a more detailed prompt using the user's choice. | |
prompt = base_prompt | |
if choice: | |
prompt += f" The protagonist made a bold decision: '{choice}'." | |
# Add clear instructions to generate a coherent narrative. | |
prompt += " Continue the story in a creative and engaging way. Develop the characters and emotions naturally." | |
generated = story_gen(prompt, do_sample=True, top_p=0.9, temperature=0.85)[0]['generated_text'] | |
# Extract only the generated continuation. | |
next_scene = generated[len(prompt):].strip() | |
story_audio_path = "story.wav" | |
tts.tts_to_file(text=next_scene, file_path=story_audio_path) | |
return next_scene, story_audio_path, story_audio_path | |
# --------------- Gradio UI --------------- | |
digest_ui = gr.Interface( | |
fn=generate_audio_digest, | |
inputs=gr.Textbox(label="🎯 Enter your topic of interest", placeholder="e.g. motivation, productivity", lines=2), | |
outputs=[ | |
gr.Textbox(label="📝 Summary", lines=4), | |
gr.Audio(label="🎧 Audio Digest", type="filepath"), | |
gr.File(label="⬇️ Download Audio") | |
], | |
title="🎧 KukuBuddy: Daily Audio Digest" | |
) | |
story_ui = gr.Interface( | |
fn=generate_story, | |
inputs=[ | |
gr.Textbox(label="📚 Genre", placeholder="e.g. sci-fi, myth, thriller, romance", lines=1), | |
gr.Textbox(label="🎮 Your last choice", placeholder="e.g. Enter the castle", lines=2) | |
], | |
outputs=[ | |
gr.Textbox(label="📝 Next Scene", lines=4), | |
gr.Audio(label="🎧 Narration", type="filepath"), | |
gr.File(label="⬇️ Download Audio") | |
], | |
title="📖 KukuBuddy: Interactive Story" | |
) | |
app = gr.TabbedInterface([digest_ui, story_ui], tab_names=["📌 Daily Digest", "🧠 Interactive Story"]) | |
if __name__ == "__main__": | |
app.launch() | |