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| import gradio as gr | |
| import asyncio | |
| import tempfile | |
| import logging | |
| import requests | |
| from VOCALIS import Agent, ContentGenerator | |
| from edgeTTsLang import languages | |
| logging.basicConfig(level=logging.INFO, format="%(asctime)s - %(levelname)s - %(message)s") | |
| logger = logging.getLogger(__name__) | |
| def generate_the_content(content_type, language,output_style,content_length, theme, expectations): | |
| try: | |
| temperature_map = { | |
| "Precise (Deterministic)": 0.1, | |
| "Very Focused (Low Randomness)": 0.3, | |
| "Moderately Focused (Slight Randomness)": 0.4, | |
| "Balanced (Moderate Creativity)": 0.5, | |
| "Slightly Creative (Moderate Randomness)": 0.6, | |
| "Creative (High Randomness)": 0.7, | |
| "Highly Creative (Very High Randomness)": 0.8, | |
| "Experimental (Maximum Randomness)": 0.95, | |
| } | |
| temperature = temperature_map.get(output_style, 0.6) | |
| agent = Agent(model="gemini-2.0-flash", temperature=temperature) | |
| generator = ContentGenerator(agent, content_type, language, content_length, theme, expectations) | |
| output = generator.generate_content() | |
| return output | |
| except ValueError as ve: | |
| return f"Input Error: {ve}" | |
| except requests.exceptions.ConnectionError: | |
| return "Network Error: Could not connect to API. Please check your internet connection." | |
| except Exception as e: | |
| return f"General Error: {e}" | |
| async def text_to_speech(text, voice, rate, pitch): | |
| import edge_tts | |
| if not text.strip(): | |
| return None, "Please enter text to convert." | |
| if not voice: | |
| return None, "Please select a voice." | |
| rate_str = f"{rate:+d}%" | |
| pitch_str = f"{pitch:+d}Hz" | |
| communicate = edge_tts.Communicate(text, voice, rate=rate_str, pitch=pitch_str) | |
| with tempfile.NamedTemporaryFile(delete=False, suffix=".mp3") as tmp_file: | |
| tmp_path = tmp_file.name | |
| await communicate.save(tmp_path) | |
| return tmp_path, None | |
| async def tts_interface(content_type, language, voice, output_style, content_length, theme, Customization, rate, pitch): | |
| text_output = generate_the_content(content_type, language, output_style, content_length, theme, Customization) | |
| if text_output.startswith("Error:"): | |
| return None, None, gr.Markdown(text_output) | |
| audio_file, warning = await text_to_speech(text_output, languages[language][voice], rate, pitch) | |
| if warning: | |
| return text_output, gr.Markdown(warning) | |
| return text_output, audio_file, None | |
| def create_demo(): | |
| language_choices = list(languages.keys()) | |
| custom_theme = gr.themes.Soft( | |
| primary_hue="indigo", | |
| secondary_hue="blue", | |
| neutral_hue="slate", | |
| radius_size=gr.themes.sizes.radius_sm, | |
| font=[gr.themes.GoogleFont("Montserrat"), "Arial", "sans-serif"], | |
| ) | |
| demo = gr.Interface( | |
| fn=tts_interface, | |
| theme=custom_theme, | |
| inputs=[ | |
| gr.Dropdown(label="Content Type", choices=[ | |
| "story", "social", "news", "motivational", "explainer", "advertisement", "interview", "podcast", | |
| "testimonial", "comedy", "audiobook", "documentary", "meditation", "education", "poem", "recipe", | |
| "script", "summary", "email", "blog" | |
| ], value="story"), | |
| gr.Dropdown(label="Language", choices=language_choices, value=language_choices[0] if language_choices else ""), | |
| gr.Dropdown(label="Voice", choices=["Female", "Male"], value="Female"), | |
| gr.Dropdown(label="Output Style", choices=[ | |
| "Precise (Deterministic)", "Very Focused (Low Randomness)", "Moderately Focused (Slight Randomness)", | |
| "Balanced (Moderate Creativity)", "Slightly Creative (Moderate Randomness)", | |
| "Creative (High Randomness)", "Highly Creative (Very High Randomness)", | |
| "Experimental (Maximum Randomness)" | |
| ], value="Balanced (Moderate Creativity)"), | |
| gr.Slider(label="Content Length (Words)", minimum=100, maximum=1000, value=200, step=10), | |
| gr.Dropdown(label="Theme/Nature (Optional)", choices=[ | |
| "General/None", "Narrative/Storytelling", "Informative/Educational", "Descriptive/Atmospheric", | |
| "Persuasive/Argumentative", "Humorous/Comedic", "Emotional/Inspirational", "Technical/Scientific", | |
| "Historical/Cultural", "Modern/Contemporary", "Futuristic/Sci-Fi", "Fantasy/Mythical", | |
| "Mystery/Suspense", "Adventure/Exploration", "Realistic/Documentary", "Philosophical/Reflective", | |
| "Social/Relational", "Environmental/Nature", "Personal/Anecdotal" | |
| ], value="General/None"), | |
| gr.Textbox(label="Customization", placeholder="Add any extra information to help customize the generated content"), | |
| gr.Slider(minimum=-50, maximum=50, value=0, label="Speech Rate Adjustment (%)", step=1), | |
| gr.Slider(minimum=-20, maximum=20, value=0, label="Pitch Adjustment (Hz)", step=1) | |
| ], | |
| outputs=[ | |
| gr.Textbox(label="Generated Text"), | |
| gr.Audio(label="Generated Audio", type="filepath"), | |
| gr.Markdown(label="Error/Warning", visible=True) | |
| ], | |
| title="✨ AI VoiceCraft: Text-to-Speech Studio 🎙️", | |
| description=""" | |
| **Crafted by MusabirKm** | |
| 🚀 Transform your text into captivating audio! 🚀 | |
| This tool generates AI-powered content and converts it into lifelike speech using Microsoft Edge TTS. | |
| 🔹 **Features at a Glance:** | |
| 🌍 Supports multiple languages and voices | |
| 🎚️ Adjust speech rate and pitch for natural delivery | |
| 📝 Generate dynamic content: stories, news, podcasts & more | |
| 🎭 Customize tone, length, and style to fit your needs | |
| """, | |
| article=""" | |
| # 🌟 Welcome to AI VoiceCraft! 🌟 | |
| **Unleash the power of AI-driven text-to-speech.** | |
| This advanced application blends **cutting-edge AI content generation** with high-quality speech synthesis to create immersive audio experiences. | |
| ## 🎤 Key Highlights: | |
| 🔊 Natural and expressive voice output | |
| 📖 AI-powered script generation tailored for speech | |
| ⚙️ Fine-tune pitch, rate, and delivery style | |
| 🔗 [Discover more AI tools@github/musabbirkm](https://github.com/musabbirkm) | |
| 🔗 [Follow MusabirKm on Hugging Face](https://huggingface.com/musabbirkm) | |
| """, | |
| allow_flagging="never", | |
| api_name=None, | |
| ) | |
| return demo | |
| async def main(): | |
| demo = create_demo() | |
| demo.queue(default_concurrency_limit=5) | |
| demo.launch(show_api=False) | |
| if __name__ == "__main__": | |
| try: | |
| asyncio.run(main()) | |
| except RuntimeError: | |
| import nest_asyncio | |
| nest_asyncio.apply() | |
| asyncio.run(main()) | |