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Browse files
app.py
CHANGED
@@ -129,15 +129,15 @@ def generate_podcast(topic: str):
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t1 = time.time()
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print(f"PROCESSED '{utterance}' in {int(t1-t0)} seconds. {audio_numpy.shape}")
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EXAMPLES = [
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]
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demo = gr.Interface(
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title="Daily Paper Podcast 🎙️",
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description=f"""Generates a podcast discussion between two hosts about today's top trending paper on Hugging Face: '**{list(top_papers.keys())[0]}**'
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Based on [Open NotebookLM](spaces/m-ric/open-notebooklm), powered by [Kokoro TTS](hexgrad/Kokoro-82M) and [Qwen3-32B](Qwen/Qwen3-32B) running on HF Inference.""",
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fn=generate_podcast,
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inputs=[
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gr.Textbox(
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t1 = time.time()
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print(f"PROCESSED '{utterance}' in {int(t1-t0)} seconds. {audio_numpy.shape}")
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# EXAMPLES = [
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# ["https://huggingface.co/blog/inference-providers-cohere", None, "How does using this compare with other inference solutions?"],
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# [None, str(Path("examples/Essay_Palantir.pdf")), "Make sure to keep some critic spirit in the analysis!"],
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# ]
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demo = gr.Interface(
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title="Daily Paper Podcast 🎙️",
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description=f"""Generates a podcast discussion between two hosts about today's top trending paper on Hugging Face: '**{list(top_papers.keys())[0]}**'
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Based on [Open NotebookLM](https://huggingface.co/spaces/m-ric/open-notebooklm), powered by [Kokoro TTS](https://huggingface.co/hexgrad/Kokoro-82M) and [Qwen3-32B](https://huggingface.co/Qwen/Qwen3-32B) running on HF Inference.""",
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fn=generate_podcast,
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inputs=[
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gr.Textbox(
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