adssa

app.py

@@ -77,10 +77,10 @@ def transcribe(path, task):
     labels = clustering.labels_
     output_text=""
     for i in range(len(segments)):
-        segments[i]["speaker"] = 'SPEAKER ' + str(labels[i] + 1)
+        segments[i]["speaker"] = '**SPEAKER ' + str(labels[i] + 1) + "**"
     for (i, segment) in enumerate(segments):
         if i == 0 or segments[i - 1]["speaker"] != segment["speaker"]:
-            output_text += "\n" + segment["speaker"] + ' ' + str(time(segment["start"])) + '\n'
+            output_text += " "+segment["speaker"] + ' : \n'
         output_text += segment["text"][1:] + ' '
     return output_text
 
@@ -136,7 +136,7 @@ file_transcribe = gr.Interface(
         gr.Audio(sources="upload", type="filepath", label="Audio file"),
         gr.Radio(["transcribe", "translate"], label="Task", value="transcribe"),
     ],
-    outputs="text",
+    outputs=gr.Markdown(label="Sortie Markdown"),
     title="VerbaLens Demo 1 : Prototype",
     description="Transcribe uploaded audio files using WhisperX.",
     allow_flagging="never",