added

app.py

@@ -21,15 +21,16 @@ def generateTextAndAudio(inputText, numGen):
 
     # --- Generating the Audio ---
     # With the newly generated text, generate some speech
-    audioOutput = audioGenerator(genText)
+    #audioOutput = audioGenerator(genText)
     # Get the wav data
-    genAudio = audioOutput['wav']
+    #genAudio = audioOutput['wav']
 
     # Return two things
     # 1) Generated Text
     # 2) 24k sampling rate, and the Generated Audio (wav) as numpy (instead of tensor)
-    return genText, (24000, genAudio.numpy())
-
+    # return genText, (24000, genAudio.numpy())
+    return genText
+    
 
 # Main
 textGenerator = pipeline('text-generation', model='rifkat/GPTuz')
@@ -39,19 +40,20 @@ input1_textbox = gr.Textbox(label="Tekst*")
 input2_slider = gr.Slider(minimum=1, maximum=100, step=1, default=30, label="Generatsiya bo'ladigan so'zlar soni")
 
 output1_textbox = gr.Textbox(label="Generatsiya bo'lgan tekst")
-output2_Audio = gr.Audio(label="Generatsiya bo'lgan audio")
+# output2_Audio = gr.Audio(label="Generatsiya bo'lgan audio")
 
 title = "Tekst va uning audiosini gereratsiya qiling!"
 description = "Tekst kiriting va nechta so'z generatsiya qilishini"
 
 examples = [
     ["Давлат хавфсизлик хизмати", 50],
-    ["Давлат хавфсизлик хизмати", 30],
-    ["Давлат хавфсизлик хизмати", 60]
+    ["Шунинг учун биз", 30],
+    ["Лекин бугун бу нарсани қилмасак", 60]
 ]
 iface = gr.Interface(fn=generateTextAndAudio,
                      inputs=[input1_textbox, input2_slider],
-                     outputs=[output1_textbox, output2_Audio],
+                     # outputs=[output1_textbox, output2_Audio],
+                     outputs=output1_textbox,
                      title=title,
                      description=description,
                      examples=examples).launch(debug=True)