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Create app.py

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  1. app.py +71 -0
app.py ADDED
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+ import os
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+ import torch
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+ from transformers import AutoModelForCausalLM, AutoTokenizer
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+ import gradio as gr
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+
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+ # Load the Hugging Face token from environment variables
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+ hf_token = os.getenv("HF_TOKEN")
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+ if not hf_token:
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+ raise ValueError("Hugging Face token not found in environment variables.")
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+
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+ # Load the tokenizer and model
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+ model_name = "sander-wood/music-transformer"
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+ tokenizer = AutoTokenizer.from_pretrained(model_name, use_auth_token=hf_token)
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+ model = AutoModelForCausalLM.from_pretrained(model_name, use_auth_token=hf_token)
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+
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+ # Move the model to GPU if available
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+ device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
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+ model.to(device)
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+
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+ # Function to generate music
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+ def generate_music(input_text, max_length=512, temperature=0.9, top_p=0.95):
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+ """
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+ Generate music based on the input text.
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+ """
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+ # Tokenize the input
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+ inputs = tokenizer(input_text, return_tensors="pt").to(device)
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+
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+ # Generate music
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+ with torch.no_grad():
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+ outputs = model.generate(
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+ inputs["input_ids"],
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+ max_length=max_length,
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+ num_return_sequences=1,
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+ temperature=temperature,
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+ top_p=top_p,
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+ do_sample=True,
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+ )
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+
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+ # Decode the generated output
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+ generated_music = tokenizer.decode(outputs[0], skip_special_tokens=True)
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+ return generated_music
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+
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+ # Gradio interface
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+ def gradio_interface(input_text, max_length, temperature, top_p):
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+ """
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+ Gradio interface for generating music.
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+ """
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+ generated_music = generate_music(input_text, max_length, temperature, top_p)
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+ return generated_music
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+
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+ # Define Gradio inputs and outputs
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+ inputs = [
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+ gr.Textbox(label="Input Text", placeholder="Enter a music description..."),
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+ gr.Slider(minimum=64, maximum=1024, value=512, label="Max Length"),
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+ gr.Slider(minimum=0.1, maximum=1.0, value=0.9, label="Temperature"),
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+ gr.Slider(minimum=0.1, maximum=1.0, value=0.95, label="Top-p"),
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+ ]
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+
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+ outputs = gr.Textbox(label="Generated Music (ABC Notation)")
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+
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+ # Create the Gradio app
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+ app = gr.Interface(
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+ fn=gradio_interface,
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+ inputs=inputs,
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+ outputs=outputs,
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+ title="Music Transformer",
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+ description="Generate music in ABC notation using the sander-wood/music-transformer model.",
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+ )
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+
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+ # Launch the app
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+ app.launch(server_name="0.0.0.0", server_port=7860)