link in description

app.py

@@ -133,11 +133,18 @@ def generate_podcast(topic: str):
 #     ["https://huggingface.co/blog/inference-providers-cohere", None, "How does using this compare with other inference solutions?"],
 #     [None, str(Path("examples/Essay_Palantir.pdf")), "Make sure to keep some critic spirit in the analysis!"],
 # ]
+
+first_paper = list(top_papers.values())[0]
+paper_id = first_paper['id']
+paper_url = f"https://huggingface.co/papers/{paper_id}"
+paper_title = list(top_papers.keys())[0]
+
+# Make the paper title clickable
+clickable_title = f"[{paper_title}]({paper_url})"
+
 demo = gr.Interface(
     title="Daily Paper Podcast 🎙️",
-    description=f"""Generates a podcast discussion between two hosts about today's top trending paper on Hugging Face: '**{list(top_papers.keys())[0]}**'
-
-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.""",
+    description=f"""Generates a podcast discussion between two hosts about today's top trending paper on Hugging Face: **{clickable_title}**\n\n[Read the paper on Hugging Face]({paper_url})\n\nBased 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/Qwen3-32B) running on HF Inference.""",
     fn=generate_podcast,
     inputs=[
         gr.Textbox(

papers.py

@@ -77,7 +77,8 @@ class PaperManager:
         print(f"Processing {len(self.papers)} papers:")
         for paper in tqdm(self.papers):
             paper_id = paper["paper"]['id']
-            contents[paper["paper"]['title']] = self.get_paper_text(paper_id)
+            content = self.get_paper_text(paper_id)
+            contents[paper["paper"]['title']] = {"id": paper_id, "content": content}
         
         return contents
 

run_job.py

@@ -55,8 +55,10 @@ def main():
     # 1. Get the most popular paper's content
     paper_manager = PaperManager()
     top_papers = paper_manager.get_top_content()
-    # Get the first (most popular) paper's text
-    subject = list(top_papers.values())[0]
+    # Get the first (most popular) paper's id and text
+    first_paper = list(top_papers.values())[0]
+    subject = first_paper['content']
+    paper_id = first_paper['id']
 
     # 2. Generate the podcast script
     podcast_script = generate_podcast_script(subject)
@@ -139,7 +141,7 @@ def main():
         # After uploading the podcast audio
         # headline, description = generate_headline_and_description(subject)
         # episode_number = get_next_episode_number()
-        update_rss(subject, audio_url, audio_length)
+        update_rss(subject, audio_url, audio_length, paper_id=paper_id)
     else:
         print("No audio generated.")
 

update_rss.py

@@ -44,9 +44,12 @@ def get_next_episode_number(podcast_dir="podcasts"):
     files = [f for f in os.listdir(podcast_dir) if f.endswith(".wav")]
     return len(files) + 1
 
-def update_rss(subject, audio_url, audio_length, rss_path="rss.xml"):
+def update_rss(subject, audio_url, audio_length, paper_id=None, rss_path="rss.xml"):
     # Generate headline and description automatically
     title, description = generate_headline_and_description(subject)
+    if paper_id:
+        paper_url = f"https://huggingface.co/papers/{paper_id}"
+        description += f"\n\n[Read the paper on Hugging Face]({paper_url})"
     
     tree = ET.parse(rss_path)
     root = tree.getroot()