Update app.py

app.py

@@ -1,14 +1,24 @@
 import gradio as gr
+from transformers import AutoModelWithLMHead, AutoTokenizer
 import torch
-from transformers import MusicLM
 
-model = MusicLM.from_pretrained("Gertie01/MusicLM")
+# Load the model and tokenizer
+model_name = "Gertie01/MusicLM"
+model = AutoModelWithLMHead.from_pretrained(model_name)
+tokenizer = AutoTokenizer.from_pretrained(model_name)
 
-@gr.interact(title="MusicLM Composer")
-def compose(text: str):
-  """Creates music from input text."""
-  output = model.generate(text=text, max_length=16384, temperature=0.7)
-  return output
+# Define the function to generate music
+def generate_music(text):
+    input_ids = tokenizer.encode(text, return_tensors="pt")
+    output = model.generate(input_ids, max_length=100)
+    generated_music = tokenizer.decode(output[0], skip_special_tokens=True)
+    return generated_music
 
-if __name__ == "__main__":
-  gr.launch()
+# Create the Gradio interface
+input_text = gr.inputs.Textbox(lines=5, label="Input Text")
+output_text = gr.outputs.Textbox(label="Generated Music")
+
+title = "Music Generation with GPT-3.5"
+description = "Enter a text prompt and the model will generate music based on it."
+
+gr.Interface(fn=generate_music, inputs=input_text, outputs=output_text, title=title, description=description).launch()