Remixer

app.py

@@ -0,0 +1,24 @@
+import gradio as gr
+from transformers import AutoModelForSeq2SeqLM, AutoTokenizer
+import torch
+
+# Load pre-trained model and tokenizer
+model_name = "gpt2"
+model = AutoModelForSeq2SeqLM.from_pretrained(model_name)
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+
+# Function to generate remix
+def generate_remix(input_text):
+    input_ids = tokenizer(input_text, return_tensors="pt").input_ids
+    output = model.generate(input_ids)
+    output_text = tokenizer.decode(output[0], skip_special_tokens=True)
+    return output_text
+
+# Create Gradio interface
+inputs = gr.inputs.Textbox(lines=5, label="Input Song Lyrics")
+outputs = gr.outputs.Textbox(label="Remixed Song Lyrics")
+title = "Song Remixing Tool"
+description = "Enter the lyrics of a song and get a remix!"
+examples = [["I'm feeling good", "Feeling happy tonight"]]
+
+gr.Interface(generate_remix, inputs, outputs, title=title, description=description, examples=examples).launch()