Update app.py

app.py

@@ -164,15 +164,15 @@ re_im = torch.stft(lossy_input_tensor, window, stride, window=hann, return_compl
 session, onnx_model, input_names, output_names = load_model(model_ver)
 
 with st.sidebar:
-    st.title('Full-band Reccurent Network', anchor = 'https://arxiv.org/abs/2211.04071')
+    st.title('Full-band Reccurent Network', help = 'https://arxiv.org/abs/2211.04071')
     st.header("Метрики")
-    st.subheader("PESQ", anchor = 'https://ieeexplore.ieee.org/document/941023')
+    st.subheader("PESQ", help = 'https://ieeexplore.ieee.org/document/941023')
     st.text('Перцептивная оценка качества речи')
-    st.subheader("STOI", anchor = 'https://ieeexplore.ieee.org/document/5495701')
+    st.subheader("STOI", help = 'https://ieeexplore.ieee.org/document/5495701')
     st.text('Индекс объективной кратковременной разборчивости')
-    st.subheader("PLCMOS_v1&2", anchor = 'https://arxiv.org/abs/2305.15127')
+    st.subheader("PLCMOS_v1&2", help = 'https://arxiv.org/abs/2305.15127')
     st.text('Эталонная и неэталонная метрики от Microsoft')
-    st.subheader("WER", anchor = 'https://deepgram.com/learn/what-is-word-error-rate')
+    st.subheader("WER", help = 'https://deepgram.com/learn/what-is-word-error-rate')
     st.text('Процент нераспознанных слов')
 
 if st.button('Сгенерировать потери'):