Update src/streamlit_app.py

src/streamlit_app.py

@@ -40,11 +40,44 @@ with tab2:
 
 with tab3:
     st.header("Model Collections")
-    st.write("Explore available ASR models for African languages:")
-
-    st.markdown("""
-    - [Afrikaans Model](https://huggingface.co/asr-africa/mms-1B_all_nchlt_speech_corpus_Fleurs_CV_AFRIKAANS_57hr_v1)  
-    - [Hausa Model](https://huggingface.co/asr-africa/wav2vec2-xls-r-1b-naijavoices-hausa-500hr-v0)  
-    - [Yoruba Model](https://huggingface.co/asr-africa/wav2vec2-xls-r-1b-naijavoices-yoruba-500hr-v0)  
-    - *(Add more models as needed)*
-    """)
+    st.write("Explore available ASR model collections, grouped by language:")
+
+    languages = {
+        "Ewe": "https://huggingface.co/collections/asr-africa/ewe-68d3d85e015eea82e1355e95",
+        "Swahili": "https://huggingface.co/collections/asr-africa/swahili-new-676666b26fd924e18fa8781a",
+        "Lingala": "https://huggingface.co/collections/asr-africa/lingala-new-676666a913beb149ccc22243",
+        "Luganda": "https://huggingface.co/collections/asr-africa/luganda-new-67666690a7812f6a52248d66",
+        "Wolof": "https://huggingface.co/collections/asr-africa/wolof-66fbeddd8f3b78428e0bdd57",
+        "Hausa": "https://huggingface.co/collections/asr-africa/hausa-66e14b187658eb2032f2d80b",
+        "Igbo": "https://huggingface.co/collections/asr-africa/igbo-66e14e30a533df3d8277334d",
+        "Yoruba": "https://huggingface.co/collections/asr-africa/yoruba-66e15043c177114958255eaa",
+        "Bambara": "https://huggingface.co/collections/asr-africa/bambara-66e152a56048d62cd8e6750b",
+        "Zulu": "https://huggingface.co/collections/asr-africa/zulu-66e1d8c419ce4dfba1d500b1",
+        "Xhosa": "https://huggingface.co/collections/asr-africa/xhosa-66e1da92a4fcbc413b4699eb",
+        "Afrikaans": "https://huggingface.co/collections/asr-africa/afrikaans-66e1dc2e07da322da51ca415",
+        "Bemba": "https://huggingface.co/collections/asr-africa/bemba-66e1dd3adce93c72498d12c3",
+        "Shona": "https://huggingface.co/collections/asr-africa/shona-66e1de0a076e2b2237b7c5a8",
+        "Kinyarwanda": "https://huggingface.co/collections/asr-africa/kinyarwanda-66e2e97e15879154e1f47fb7",
+        "Fula": "https://huggingface.co/collections/asr-africa/fula-66e97b9370af82f2d163e80d",
+        "Akan": "https://huggingface.co/collections/asr-africa/akan-66e97d0da2f86f17cad499f0"
+    }
+
+    base_models = {
+        "Wav2Vec2 XLS-R (300M)": "https://huggingface.co/facebook/wav2vec2-xls-r-300m",
+        "Whisper-Small": "https://huggingface.co/openai/whisper-small",
+        "MMS-1B": "https://huggingface.co/facebook/mms-1b-all",
+        "W2V2-BERT 2.0": "https://huggingface.co/facebook/w2v-bert-2.0"
+    }
+
+    st.subheader("Base Architectures")
+    for name, link in base_models.items():
+        st.markdown(f"- [{name}]({link})")
+
+    st.subheader("Language-Specific Collections")
+    for lang, link in languages.items():
+        with st.expander(f"{lang} Models"):
+            st.markdown(f"[View full {lang} collection on Hugging Face]({link})")
+            st.write(
+                "Models fine-tuned from Wav2Vec2 XLS-R, Whisper, MMS-1B, and W2V2-BERT "
+                "to support high-quality speech recognition in this language."
+            )