Improve description

README.md

@@ -1,6 +1,6 @@
 ---
 title: Open NotebookLM
-emoji: 🐢
+emoji: 🎙️
 colorFrom: yellow
 colorTo: red
 sdk: gradio
@@ -9,7 +9,7 @@ app_file: app.py
 pinned: true
 header: mini
 license: apache-2.0
-short_description: Generate a podcast where 2 hosts discuss your document.
+short_description: Have your document discussed by 2 hsots in a captivating podcast.
 ---
 
 Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

@@ -61,10 +61,10 @@ def generate_podcast_script(subject: str, steering_question: str | None = None)
 CUDA_AVAILABLE = torch.cuda.is_available()
 
 kmodel = KModel(repo_id='hexgrad/Kokoro-82M').to("cuda" if CUDA_AVAILABLE else "cpu").eval()
-kpipeline = KPipeline(lang_code="a")  # English voices
+kpipeline = KPipeline(lang_code="b")  # English voices
 
-MALE_VOICE = "am_daniel"
-FEMALE_VOICE = "af_emma"
+MALE_VOICE = "bm_daniel"
+FEMALE_VOICE = "bf_emma"
 
 # Pre‑warm voices to avoid first‑call latency
 for v in (MALE_VOICE, FEMALE_VOICE):
@@ -119,10 +119,12 @@ def generate_podcast(url: str, pdf_path: str, topic: str):
             print(f"PROCESSED '{utterance}' in {int(t1-t0)} seconds. {audio_numpy.shape}")
 
 demo = gr.Interface(
-    title="Open NotebookLM",
-    description=f"""Generates a podcast discussion between two hosts about the materials of your choice. Based on [Kokoro](https://huggingface.co/hexgrad/Kokoro-82M), and uses elements from a NotebookLM app by [Gabriel Chua](https://huggingface.co/spaces/gabrielchua/open-notebooklm).
+    title="Open NotebookLM 🎙️",
+    description=f"""Generates a podcast discussion between two hosts about the materials of your choice. 
 
-If you do not specify any source materials below, the podcast will be about the top trending [Daily paper](https://huggingface.co/papers/), '**{list(top_papers.keys())[0]}**'""",
+If you do not specify any source materials below, the podcast will be about the top trending [Daily paper](https://huggingface.co/papers/), '**{list(top_papers.keys())[0]}**'
+
+Based on [Kokoro TTS](https://huggingface.co/hexgrad/Kokoro-82M), lightning-fast inference for [Llama-3.3-70B](meta-llama/Llama-3.3-70B-Instruct) by Cerebras, and uses elements from a NotebookLM app by [Gabriel Chua](https://huggingface.co/spaces/gabrielchua/open-notebooklm).""",
     fn=generate_podcast,
     inputs=[
         gr.Textbox(