..

app.py

@@ -1,5 +1,6 @@
 import gradio as gr
 import vowel_length
+import ctcalign
 
 
 meta_tsv = ['data/set1.tsv','data/set2.tsv']
@@ -17,6 +18,9 @@ def manager(word,group,aligner,side):
     print(side)
     return fig
 
+def aligning(transcript, audio, language):
+    formatted_output = ctcalign.
+
 
 bl = gr.Blocks()
 with bl:
@@ -78,6 +82,8 @@ All phoneme durations are measured automatically with no human correction. The p
                 with gr.Column():
                     output_box = gr.Textbox(label="Forced alignment output")
 
+                al_btn.click(aligning, [transcript_boxx, audio_file, alangmenu], output_box)
+
 
 
 if __name__ == "__main__":

ctcalign.py

@@ -23,7 +23,6 @@ is_all_labels = tuple(is_labels_dict.keys())
 is_blank_id = is_labels_dict[is_model_blank_token]
 
 
-
 fo_MODEL_PATH="carlosdanielhernandezmena/wav2vec2-large-xlsr-53-faroese-100h"
 fo_model_blank_token = '[PAD]' # important to know for CTC decoding
 fo_model_word_separator = '|'