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README.md

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+---
+title: New Spacesas
+emoji: 👁
+colorFrom: indigo
+colorTo: purple
+sdk: gradio
+sdk_version: 5.9.1
+app_file: app.py
+pinned: false
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

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+import gradio as gr
+import numpy as np
+import matplotlib.pyplot as plt
+
+# Define a function to process the audio and text inputs
+def process_audio_and_text(text, reference_audio, voice_clone_audio):
+    # Placeholder for the actual processing logic
+    # For demonstration, we'll just return the inputs as outputs
+    return reference_audio, voice_clone_audio, text
+
+# Create a Gradio interface
+with gr.Blocks() as demo:
+    # Define the input components
+    text_input = gr.Textbox(label="Text Input")
+    reference_audio_input = gr.Audio(label="Reference Audio", type="filepath")
+    voice_clone_audio_input = gr.Audio(label="Voice Clone Audio", type="filepath")
+
+    # Define the output components
+    reference_audio_output = gr.Audio(label="Processed Reference Audio", type="filepath")
+    voice_clone_audio_output = gr.Audio(label="Processed Voice Clone Audio", type="filepath")
+    text_output = gr.Textbox(label="Processed Text")
+
+    # Define the event listener for the process button
+    process_button = gr.Button("Process")
+    process_button.click(
+        fn=process_audio_and_text,
+        inputs=[text_input, reference_audio_input, voice_clone_audio_input],
+        outputs=[reference_audio_output, voice_clone_audio_output, text_output]
+    )
+
+# Launch the interface
+demo.launch(show_error=True)

requirements.txt

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+numpy
+matplotlib