Update app.py

app.py

@@ -15,39 +15,6 @@ import spaces
 model = MusicgenForConditionalGeneration.from_pretrained("facebook/musicgen-small")
 processor = MusicgenProcessor.from_pretrained("facebook/musicgen-small")
 
-title = "MusicGen Streaming"
-
-description = """
-Stream the outputs of the MusicGen text-to-music model by playing the generated audio as soon as the first chunk is ready. 
-Demo uses [MusicGen Small](https://huggingface.co/facebook/musicgen-small) in the 🤗 Transformers library. Note that the 
-demo works best on the Chrome browser. If there is no audio output, try switching browser to Chrome.
-"""
-
-article = """
-## How Does It Work?
-
-MusicGen is an auto-regressive transformer-based model, meaning generates audio codes (tokens) in a causal fashion.
-At each decoding step, the model generates a new set of audio codes, conditional on the text input and all previous audio codes. From the 
-frame rate of the [EnCodec model](https://huggingface.co/facebook/encodec_32khz) used to decode the generated codes to audio waveform, 
-each set of generated audio codes corresponds to 0.02 seconds. This means we require a total of 1000 decoding steps to generate
-20 seconds of audio.
-
-Rather than waiting for the entire audio sequence to be generated, which would require the full 1000 decoding steps, we can start 
-playing the audio after a specified number of decoding steps have been reached, a techinque known as [*streaming*](https://huggingface.co/docs/transformers/main/en/generation_strategies#streaming). 
-For example, after 250 steps we have the first 5 seconds of audio ready, and so can play this without waiting for the remaining 
-750 decoding steps to be complete. As we continue to generate with the MusicGen model, we append new chunks of generated audio 
-to our output waveform on-the-fly. After the full 1000 decoding steps, the generated audio is complete, and is composed of four 
-chunks of audio, each corresponding to 250 tokens.
-
-This method of playing incremental generations reduces the latency of the MusicGen model from the total time to generate 1000 tokens, 
-to the time taken to play the first chunk of audio (250 tokens). This can result in significant improvements to perceived latency, 
-particularly when the chunk size is chosen to be small. In practice, the chunk size should be tuned to your device: using a 
-smaller chunk size will mean that the first chunk is ready faster, but should not be chosen so small that the model generates slower 
-than the time it takes to play the audio.
-
-For details on how the streaming class works, check out the source code for the [MusicgenStreamer](https://huggingface.co/spaces/sanchit-gandhi/musicgen-streaming/blob/main/app.py#L52).
-"""
-
 
 class MusicgenStreamer(BaseStreamer):
     def __init__(
@@ -209,25 +176,14 @@ def generate_audio(text_prompt, audio_length_in_s=10.0, play_steps_in_s=2.0, see
 demo = gr.Interface(
     fn=generate_audio,
     inputs=[
-        gr.Text(label="Prompt", value="80s pop track with synth and instrumentals"),
-        gr.Slider(10, 30, value=15, step=5, label="Audio length in seconds"),
-        gr.Slider(0.5, 2.5, value=1.5, step=0.5, label="Streaming interval in seconds", info="Lower = shorter chunks, lower latency, more codec steps"),
-        gr.Slider(0, 10, value=5, step=1, label="Seed for random generations"),
+        gr.Text(label="Описание", value="80s pop track with synth and instrumentals"),
+        gr.Slider(10, 120, value=15, step=5, label="Длинна аудио"),
+        gr.Slider(0.5, 2.5, value=1.5, step=0.5, label="Интервал потоковой передачи в секундах", info="Меньше = более короткие фрагменты, меньшая задержка, больше шагов кодека"),
+        gr.Slider(0, 10, value=5, step=1, label="Начальное значение для случайных поколений"),
     ],
     outputs=[
-        gr.Audio(label="Generated Music", streaming=True, autoplay=True)
-    ],
-    examples=[
-        ["An 80s driving pop song with heavy drums and synth pads in the background", 30, 1.5, 5],
-        ["A cheerful country song with acoustic guitars", 30, 1.5, 5],
-        ["90s rock song with electric guitar and heavy drums", 30, 1.5, 5],
-        ["a light and cheerly EDM track, with syncopated drums, aery pads, and strong emotions bpm: 130", 30, 1.5, 5],
-        ["lofi slow bpm electro chill with organic samples", 30, 1.5, 5],
+        gr.Audio(label="Сгенерированая музыка", streaming=True, autoplay=True)
     ],
-    title=title,
-    description=description,
-    article=article,
-    cache_examples=False,
 )