updated rss

rss.xml

@@ -1,40 +1,43 @@
-<?xml version="1.0" encoding="UTF-8"?>
-<rss version="2.0"
-     xmlns:itunes="http://www.itunes.com/dtds/podcast-1.0.dtd"
-     xmlns:media="http://search.yahoo.com/mrss/">
-
+<?xml version='1.0' encoding='utf-8'?>
+<rss xmlns:itunes="http://www.itunes.com/dtds/podcast-1.0.dtd" xmlns:media="http://search.yahoo.com/mrss/" version="2.0">
   <channel>
     <title>Daily Papers</title>
     <link>https://huggingface.co/papers</link>
-    <description>Listen to an AI-generated conversation about the most upvoted research paper on Hugging Face each day. Still a beta — it’s an experiment! Discussions are AI-generated — verify facts before citing.</description>
+    <description>Listen to an AI-generated conversation about the most upvoted research paper on Hugging Face each day. Still a beta — it's an experiment! Discussions are AI-generated — verify facts before citing.</description>
     <language>en-us</language>
     <itunes:author>Hugging Face</itunes:author>
-    <itunes:summary>Each day, this podcast dives into the top trending ML paper on Hugging Face. Still a beta — it’s an experiment! Discussions are AI-generated — verify facts before citing.</itunes:summary>
+    <itunes:summary>Each day, this podcast dives into the top trending ML paper on Hugging Face. Still a beta — it's an experiment! Discussions are AI-generated — verify facts before citing.</itunes:summary>
     <itunes:explicit>false</itunes:explicit>
-    <itunes:category text="Technology"/>
+    <itunes:category text="Technology" />
     <itunes:owner>
       <itunes:name>HF</itunes:name>
-      <itunes:email>florent.daudens@hf.co</itunes:email> <!-- Replace with your email -->
+      <itunes:email>florent.daudens@hf.co</itunes:email>
     </itunes:owner>
-    <itunes:image href="https://huggingface.co/spaces/fdaudens/podcast-jobs/resolve/main/images/cover3.png"/>
-    <lastBuildDate>Tue, 14 May 2025 12:00:00 +0000</lastBuildDate>
-
-    <!-- First Episode -->
+    <itunes:image href="https://huggingface.co/spaces/fdaudens/podcast-jobs/resolve/main/images/cover3.png" />
+    <lastBuildDate>Thu, 15 May 2025 15:59:41 +0000</lastBuildDate>
     <item>
-      <title>Step 1x3D – From Scrap Models to Masterpieces</title>
-      <description>Today’s episode dives into Step 1x3D, a new open-source method that cleans noisy 3D data, bridges 2D–3D generation, and rivals top proprietary tools. From mesh repair to texture-perfect diffusion, it’s a major leap for 3D AI.</description>
-      <pubDate>Tue, 13 May 2025 10:00:00 +0000</pubDate>
-      <enclosure url="https://huggingface.co/spaces/fdaudens/podcast-jobs/resolve/main/podcasts/podcast-2025-05-13.wav" length="3:09" type="audio/mpeg"/>
-      <guid>https://huggingface.co/spaces/fdaudens/podcast-jobs/resolve/main/podcasts/podcast-2025-05-13.wav</guid>
+      <title>MiniMax-Speech Revolutionizes Text-to-Speech with Zero-Shot Voice Cloning</title>
+      <description>MiniMax-Speech is a groundbreaking Text-to-Speech model that generates high-quality speech with near-indistinguishable human resemblance, achieving state-of-the-art results on multiple objective and subjective evaluation metrics. This innovative model introduces a learnable speaker encoder module, allowing for zero-shot voice cloning and exceptional speaker similarity in one-shot scenarios.</description>
+      <pubDate>Thu, 15 May 2025 15:59:41 +0000</pubDate>
+      <enclosure url="https://huggingface.co/spaces/fdaudens/podcast-jobs/resolve/main/podcasts/podcast-2025-05-15.wav" length="9610844" type="audio/wav" />
+      <guid>https://huggingface.co/spaces/fdaudens/podcast-jobs/resolve/main/podcasts/podcast-2025-05-15.wav</guid>
       <itunes:explicit>false</itunes:explicit>
     </item>
     <item>
       <title>SEED-15VL – Smarter, Leaner, Sharper</title>
-      <description>SEED-15VL mixes a compact vision encoder with a MOE language model to crush reasoning benchmarks. Trained with diverse data and verifiable rewards, it’s a glimpse into efficient, real-world AI—with a few sci-fi vibes.</description>
-      <pubDate>Tue, 13 May 2025 20:00:00 +0000</pubDate>
-      <enclosure url="https://huggingface.co/spaces/fdaudens/podcast-jobs/resolve/main/podcasts/podcast-2025-05-14.wav" length="3:18" type="audio/mpeg"/>
+      <description>SEED-15VL mixes a compact vision encoder with a MOE language model to crush reasoning benchmarks. Trained with diverse data and verifiable rewards, it's a glimpse into efficient, real-world AI—with a few sci-fi vibes.</description>
+      <pubDate>Tue, 14 May 2025 20:00:00 +0000</pubDate>
+      <enclosure url="https://huggingface.co/spaces/fdaudens/podcast-jobs/resolve/main/podcasts/podcast-2025-05-14.wav" length="8642560" type="audio/wav" />
       <guid>https://huggingface.co/spaces/fdaudens/podcast-jobs/resolve/main/podcasts/podcast-2025-05-14.wav</guid>
       <itunes:explicit>false</itunes:explicit>
     </item>
+    <item>
+      <title>Step 1x3D – From Scrap Models to Masterpieces</title>
+      <description>Today's episode dives into Step 1x3D, a new open-source method that cleans noisy 3D data, bridges 2D–3D generation, and rivals top proprietary tools. From mesh repair to texture-perfect diffusion, it's a major leap for 3D AI.</description>
+      <pubDate>Tue, 13 May 2025 10:00:00 +0000</pubDate>
+      <enclosure url="https://huggingface.co/spaces/fdaudens/podcast-jobs/resolve/main/podcasts/podcast-2025-05-13.wav" length="7864320" type="audio/wav" />
+      <guid>https://huggingface.co/spaces/fdaudens/podcast-jobs/resolve/main/podcasts/podcast-2025-05-13.wav</guid>
+      <itunes:explicit>false</itunes:explicit>
+    </item>
   </channel>
 </rss>

update_rss.py

@@ -83,7 +83,7 @@ def update_rss(subject, audio_url, audio_length, rss_path="rss.xml"):
     ET.SubElement(item, "title").text = title
     ET.SubElement(item, "description").text = description
     ET.SubElement(item, "pubDate").text = now_rfc2822
-    ET.SubElement(item, "enclosure", url=audio_url, length=str(audio_length), type="audio/mpeg")
+    ET.SubElement(item, "enclosure", url=audio_url, length=str(audio_length), type="audio/wav")
     ET.SubElement(item, "guid").text = audio_url
     ET.SubElement(item, "itunes:explicit").text = "false"