Spaces:
Runtime error
Runtime error
Re-enable client now that Spaces servers are back online.
Browse files
app.py
CHANGED
@@ -22,22 +22,7 @@ if not HF_TOKEN:
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API_URL = "https://api-inference.huggingface.co/models/HuggingFaceH4/zephyr-7b-beta"
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headers = {"Authorization": f"Bearer {HF_TOKEN}"}
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def configure_image_client():
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url = r"http://latent-consistency-super-fast-lcm-lora-sd1-5.hf.space/"
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try:
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response = requests.get(url, params={"view": "api"}, allow_redirects=True)
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response.raise_for_status()
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content_text = response.text
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pattern = r'"root":"(https://latent-consistency-super-fast-lcm-lora-sd1-5.hf.space/.*?)"'
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match = re.findall(pattern, content_text)[0]
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return Client(match)
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except requests.RequestException as e:
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print(f"Error fetching URL content: {e}")
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raise e
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# client = Client("https://latent-consistency-super-fast-lcm-lora-sd1-5.hf.space/--replicas/0867lltlv/")
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def init_speech_to_text_model() -> Pipeline:
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@@ -478,4 +463,4 @@ with gr.Blocks(title='MonsterGen') as demo:
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demo.load(None, None, None, js=add_hotkeys())
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if __name__ == "__main__":
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demo.queue().launch(favicon_path="favicon-96x96.png")
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API_URL = "https://api-inference.huggingface.co/models/HuggingFaceH4/zephyr-7b-beta"
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headers = {"Authorization": f"Bearer {HF_TOKEN}"}
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client = Client("https://latent-consistency-super-fast-lcm-lora-sd1-5.hf.space")
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def init_speech_to_text_model() -> Pipeline:
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demo.load(None, None, None, js=add_hotkeys())
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if __name__ == "__main__":
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demo.queue().launch(favicon_path="favicon-96x96.png", share=True)
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