Afrinetwork7
commited on
Commit
•
ad3f3da
1
Parent(s):
2107ac6
Update app.py
Browse files
app.py
CHANGED
@@ -11,6 +11,7 @@ from PIL import Image
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import spaces
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import torch
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from diffusers import DiffusionPipeline
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DESCRIPTION = """# Playground v2.5"""
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if not torch.cuda.is_available():
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@@ -26,7 +27,14 @@ device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
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NUM_IMAGES_PER_PROMPT = 1
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if torch.cuda.is_available():
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pipe = DiffusionPipeline.from_pretrained(
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@@ -79,7 +87,7 @@ def translate_to_english(phrase, src_lang):
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@spaces.GPU(enable_queue=True)
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def generate(
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input_lang: str,
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negative_prompt: str = "",
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use_negative_prompt: bool = False,
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@@ -95,13 +103,23 @@ def generate(
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seed = int(randomize_seed_fn(seed, randomize_seed))
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generator = torch.Generator().manual_seed(seed)
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if input_lang != 'en':
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prompt = translate_to_english(
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else:
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prompt =
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if not use_negative_prompt:
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negative_prompt = None
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images = pipe(
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prompt=prompt,
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@@ -122,12 +140,12 @@ def generate(
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examples = [
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]
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css = '''
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@@ -143,14 +161,8 @@ with gr.Blocks(css=css) as demo:
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)
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with gr.Group():
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with gr.Row():
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input_lang = gr.Dropdown(choices=list(
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label="Prompt",
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show_label=False,
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max_lines=1,
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placeholder="Enter your prompt",
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container=False,
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)
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run_button = gr.Button("Run", scale=0)
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result = gr.Gallery(label="Result", columns=NUM_IMAGES_PER_PROMPT, show_label=False)
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with gr.Accordion("Advanced options", open=False):
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@@ -160,7 +172,7 @@ with gr.Blocks(css=css) as demo:
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label="Negative prompt",
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max_lines=1,
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placeholder="Enter a negative prompt",
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visible=
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)
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seed = gr.Slider(
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label="Seed",
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@@ -196,40 +208,39 @@ with gr.Blocks(css=css) as demo:
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gr.Examples(
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examples=examples,
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inputs=[
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outputs=[result, seed],
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fn=generate,
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cache_examples=CACHE_EXAMPLES,
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)
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use_negative_prompt.change(
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if __name__ == "__main__":
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import spaces
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import torch
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from diffusers import DiffusionPipeline
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from huggingface_hub import Client
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DESCRIPTION = """# Playground v2.5"""
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if not torch.cuda.is_available():
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NUM_IMAGES_PER_PROMPT = 1
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languages = {
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"fon": "fon (Fon)",
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"yo": "yo (Yoruba)",
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"fr": "fra (French)",
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"en": "eng (English)"
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}
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valid_languages = set(languages.keys())
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if torch.cuda.is_available():
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pipe = DiffusionPipeline.from_pretrained(
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@spaces.GPU(enable_queue=True)
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def generate(
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audio,
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input_lang: str,
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negative_prompt: str = "",
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use_negative_prompt: bool = False,
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seed = int(randomize_seed_fn(seed, randomize_seed))
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generator = torch.Generator().manual_seed(seed)
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client = Client("https://afrinetwork-speak.hf.space/")
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language_name = languages[input_lang]
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result = client.predict(
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"Record from Mic",
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audio,
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language_name,
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api_name="/predict"
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)
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transcript = result["transcription"]
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if input_lang != 'en':
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prompt = translate_to_english(transcript, input_lang)
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else:
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prompt = transcript
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if not use_negative_prompt:
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negative_prompt = None # type: ignore
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images = pipe(
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prompt=prompt,
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examples = [
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"neon holography crystal cat",
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"a cat eating a piece of cheese",
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"an astronaut riding a horse in space",
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"a cartoon of a boy playing with a tiger",
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"a cute robot artist painting on an easel, concept art",
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"a close up of a woman wearing a transparent, prismatic, elaborate nemeses headdress, over the should pose, brown skin-tone"
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]
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css = '''
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)
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with gr.Group():
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with gr.Row():
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input_lang = gr.Dropdown(choices=list(languages.values()), value='eng (English)', label='Input Language')
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audio = gr.Audio(source="microphone", type="filepath", label="Audio Input")
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run_button = gr.Button("Run", scale=0)
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result = gr.Gallery(label="Result", columns=NUM_IMAGES_PER_PROMPT, show_label=False)
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with gr.Accordion("Advanced options", open=False):
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label="Negative prompt",
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max_lines=1,
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placeholder="Enter a negative prompt",
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visible=True,
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)
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seed = gr.Slider(
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label="Seed",
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gr.Examples(
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examples=examples,
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inputs=[audio, input_lang],
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outputs=[result, seed],
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fn=generate,
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cache_examples=CACHE_EXAMPLES,
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)
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use_negative_prompt.change(
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fn=lambda x: gr.update(visible=x),
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inputs=use_negative_prompt,
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outputs=negative_prompt,
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api_name=False,
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)
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gr.on(
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triggers=[
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audio.upload,
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negative_prompt.submit,
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run_button.click,
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],
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fn=generate,
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inputs=[
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audio,
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input_lang,
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negative_prompt,
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use_negative_prompt,
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seed,
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width,
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height,
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guidance_scale,
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randomize_seed,
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],
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outputs=[result, seed],
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api_name="run",
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)
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if __name__ == "__main__":
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demo.queue(max_size=20).launch()
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