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Browse files- README.md +13 -0
- app.py +216 -0
- gitattributes +35 -0
README.md
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---
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title: Realistic Text To Speech Unlimited
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emoji: 🔥
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colorFrom: indigo
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colorTo: purple
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sdk: gradio
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sdk_version: 5.28.0
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app_file: app.py
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pinned: true
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short_description: Free Text-To-Speech generator with Emotion control (OpenAI)
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---
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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app.py
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# app.py
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import gradio as gr
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import requests
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import random
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import urllib.parse
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import tempfile
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import os
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NSFW_URL_TEMPLATE = os.getenv("NSFW_API_URL_TEMPLATE")
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TTS_URL_TEMPLATE = os.getenv("TTS_API_URL_TEMPLATE")
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if not NSFW_URL_TEMPLATE:
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raise ValueError("Missing Secret: NSFW_API_URL_TEMPLATE is not set in Hugging Face Space secrets.")
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if not TTS_URL_TEMPLATE:
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raise ValueError("Missing Secret: TTS_API_URL_TEMPLATE is not set in Hugging Face Space secrets.")
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# VOICES
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VOICES = [
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"alloy", "echo", "fable", "onyx", "nova", "shimmer", # Standard OpenAI Voices
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"coral", "verse", "ballad", "ash", "sage", "amuch", "dan" # Some additional pre-trained
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]
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def check_nsfw(prompt: str) -> bool:
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global NSFW_URL_TEMPLATE
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try:
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encoded_prompt = urllib.parse.quote(prompt)
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url = NSFW_URL_TEMPLATE.format(prompt=encoded_prompt)
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print(f"DEBUG: Checking NSFW URL: {url.split('?')[0]}... (query params hidden)")
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response = requests.get(url, timeout=20)
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response.raise_for_status()
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result = response.text.strip().upper()
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print(f"DEBUG: NSFW Check Response: '{result}'")
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if result == "YES":
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return True
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elif result == "NO":
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return False
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else:
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print(f"Warning: Unexpected response from NSFW checker: {response.text}")
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return True # unexpected responses = potentially NSFW
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except requests.exceptions.RequestException as e:
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print(f"Error during NSFW check: {e}")
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raise gr.Error(f"Failed to check prompt safety.")
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except Exception as e:
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print(f"Unexpected error during NSFW check: {e}")
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raise gr.Error(f"An unexpected error occurred during safety check. Please wait for a second and try again.")
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def generate_audio(prompt: str, voice: str, emotion: str, seed: int) -> bytes:
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# Generates audio using the API from server
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global TTS_URL_TEMPLATE
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try:
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encoded_prompt = urllib.parse.quote(prompt)
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encoded_emotion = urllib.parse.quote(emotion)
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url = TTS_URL_TEMPLATE.format(
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prompt=encoded_prompt,
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emotion=encoded_emotion,
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voice=voice,
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seed=seed
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)
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print(f"DEBUG: Generating Audio URL: {url.split('?')[0]}... (query params hidden)")
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response = requests.get(url, timeout=60)
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response.raise_for_status()
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content_type = response.headers.get('content-type', '').lower()
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if 'audio' not in content_type:
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print(f"Warning: Unexpected content type received: {content_type}")
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print(f"Response Text: {response.text[:500]}")
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raise gr.Error(f"API did not return audio.")
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return response.content
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except requests.exceptions.RequestException as e:
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print(f"Error during audio generation: {e}")
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error_details = ""
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if hasattr(e, 'response') and e.response is not None:
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error_details = e.response.text[:200]
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raise gr.Error(f"Failed to generate audio. Please wait for a second and try again.")
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except Exception as e:
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print(f"Unexpected error during audio generation: {e}")
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raise gr.Error(f"An unexpected error occurred during audio generation. Please wait for a second and try again.")
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def text_to_speech_app(prompt: str, voice: str, emotion: str, use_random_seed: bool, specific_seed: int):
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print("\n\n\n"+prompt+"\n\n\n")
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if not prompt:
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raise gr.Error("Prompt cannot be empty.")
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if not emotion:
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emotion = "neutral"
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print("Warning: No emotion provided, defaulting to 'neutral'.")
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if not voice:
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raise gr.Error("Please select a voice.")
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seed = random.randint(0, 2**32 - 1) if use_random_seed else int(specific_seed)
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print(f"Using Seed: {seed}")
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# check NSFW
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print("Checking prompt safety...")
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try:
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# is_nsfw = check_nsfw(prompt)
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is_nsfw = False
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except gr.Error as e:
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return None, f"There was an error. Please wait for a second and try again."
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if is_nsfw:
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print("Prompt flagged as inappropriate.")
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return None, "Error: The prompt was flagged as inappropriate and cannot be processed."
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# if not nsfw
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print("Prompt is safe. Generating audio...")
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try:
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audio_bytes = generate_audio(prompt, voice, emotion, seed)
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# audio save to a temporary file
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with tempfile.NamedTemporaryFile(delete=False, suffix=".mp3") as temp_audio_file:
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temp_audio_file.write(audio_bytes)
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temp_file_path = temp_audio_file.name
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print(f"Audio saved temporarily to: {temp_file_path}")
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return temp_file_path, f"Audio generated successfully with voice '{voice}', emotion '{emotion}', and seed {seed}."
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except gr.Error as e:
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return None, str(e)
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except Exception as e:
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print(f"Unexpected error in main function: {e}")
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return None, f"An unexpected error occurred: {e}"
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def toggle_seed_input(use_random_seed):
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return gr.update(visible=not use_random_seed, value=12345)
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with gr.Blocks() as app:
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gr.Markdown("# Advanced OpenAI Text-To-Speech Unlimited")
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gr.Markdown(
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"""Enter text, choose a voice and emotion, and generate audio.
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The text will be checked for appropriateness before generation.
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Use it as much as you want.
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**Like & follow** for more AI projects:
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• Instagram: [@nihal_gazi_io](https://www.instagram.com/nihal_gazi_io/)
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• X.com: [@NihalGazi_](https://x.com/NihalGazi_?t=f9UtAv005GppiIIXFEWMSQ&s=09)
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• Discord: nihal_gazi_io"""
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)
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with gr.Row():
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with gr.Column(scale=2):
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prompt_input = gr.Textbox(label="Prompt", placeholder="Enter the text you want to convert to speech...")
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emotion_input = gr.Textbox(label="Emotion Style", placeholder="e.g., happy, sad, excited, calm...")
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voice_dropdown = gr.Dropdown(label="Voice", choices=VOICES, value="alloy")
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with gr.Column(scale=1):
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random_seed_checkbox = gr.Checkbox(label="Use Random Seed", value=True)
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seed_input = gr.Number(label="Specific Seed", value=12345, visible=False, precision=0)
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submit_button = gr.Button("Generate Audio", variant="primary")
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with gr.Row():
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audio_output = gr.Audio(label="Generated Audio", type="filepath")
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status_output = gr.Textbox(label="Status")
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random_seed_checkbox.change(
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fn=toggle_seed_input,
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inputs=[random_seed_checkbox],
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outputs=[seed_input]
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)
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submit_button.click(
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fn=text_to_speech_app,
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inputs=[
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prompt_input,
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voice_dropdown,
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emotion_input,
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random_seed_checkbox,
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seed_input
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],
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outputs=[audio_output, status_output],
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concurrency_limit=30
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)
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gr.Examples(
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examples=[
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["Hello there! This is a test of the text-to-speech system.", "alloy", "neutral", False, 12345],
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["Surely *you* wouldn't want *that*. [laughs]", "shimmer", "sarcastic and mocking", True, 12345],
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["[sobbing] I am feeling... [sighs] a bit down today [cry]", "ballad", "sad and depressed, with stammering", True, 662437],
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["This technology is absolutely amazing!", "nova", "excited and joyful", True, 12345],
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],
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inputs=[prompt_input, voice_dropdown, emotion_input, random_seed_checkbox, seed_input],
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outputs=[audio_output, status_output],
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fn=text_to_speech_app,
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cache_examples=False,
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)
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if __name__ == "__main__":
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if NSFW_URL_TEMPLATE and TTS_URL_TEMPLATE:
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app.launch()
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else:
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print("ERROR: Cannot launch app. Required API URL secrets are missing.")
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gitattributes
ADDED
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*.7z filter=lfs diff=lfs merge=lfs -text
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*.arrow filter=lfs diff=lfs merge=lfs -text
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*.bin filter=lfs diff=lfs merge=lfs -text
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*.bz2 filter=lfs diff=lfs merge=lfs -text
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*.ckpt filter=lfs diff=lfs merge=lfs -text
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*.ftz filter=lfs diff=lfs merge=lfs -text
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*.gz filter=lfs diff=lfs merge=lfs -text
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*.h5 filter=lfs diff=lfs merge=lfs -text
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*.joblib filter=lfs diff=lfs merge=lfs -text
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*.lfs.* filter=lfs diff=lfs merge=lfs -text
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*.mlmodel filter=lfs diff=lfs merge=lfs -text
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*.model filter=lfs diff=lfs merge=lfs -text
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*.msgpack filter=lfs diff=lfs merge=lfs -text
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*.npy filter=lfs diff=lfs merge=lfs -text
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*.npz filter=lfs diff=lfs merge=lfs -text
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*.onnx filter=lfs diff=lfs merge=lfs -text
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*.ot filter=lfs diff=lfs merge=lfs -text
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*.parquet filter=lfs diff=lfs merge=lfs -text
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*.pb filter=lfs diff=lfs merge=lfs -text
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*.pickle filter=lfs diff=lfs merge=lfs -text
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*.pkl filter=lfs diff=lfs merge=lfs -text
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*.pt filter=lfs diff=lfs merge=lfs -text
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*.pth filter=lfs diff=lfs merge=lfs -text
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*.rar filter=lfs diff=lfs merge=lfs -text
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