Update app.py

app.py

@@ -131,25 +131,10 @@ def generation(text):
     generated_sequence = tokenizer.decode(generated_ids[0])
     return generated_sequence
 
-#title = "Music gen with GPT-2"
-#title2 = "Midi token generation"
-
-#iface = gr.Interface(
-#  fn=process, 
-#  inputs=["text"],
-#  outputs=['audio'],
-#  title=title,
-  #examples=[["PIECE_START"], ["PIECE_START STYLE=JSFAKES GENRE=JSFAKES TRACK_START INST=48 BAR_START NOTE_ON=61"]],
-#  article="This demo is inspired in the notebook from https://huggingface.co/TristanBehrens/js-fakes-4bars."
-#)
-
-#iface2 = gr.Interface(
-#    fn=generation,
-#    inputs=["text"],
-#    outputs=["text"],
-#    title=title2,
-#    article="This will generate the encoded text that represents Midi language."
-#)
+
+def identity(x, state):
+    state += 1
+    return x, state, state    
 
 
 with gr.Blocks() as demo:
@@ -159,9 +144,14 @@ with gr.Blocks() as demo:
         text_output = gr.Textbox()
         text_button = gr.Button("generate tokens")
     with gr.Tab("Audio generation"):
+        slider = gr.Slider(1, 100, step=1)
+        state = gr.State(value=1)
         text_input = gr.Textbox()
         audio_output = gr.Audio()
         audio_button = gr.Button("generate audio")
+        with gr.Row():
+            number = gr.Number(label="On release")
+        slider.release(identity, inputs=[slider, state], outputs=[number, state], api_name="predict")
     
     text_button.click(generation, inputs=text_input, outputs=text_output)
     audio_button.click(process, inputs=text_input, outputs=audio_output)