interface

app.py

@@ -1,7 +1,47 @@
 import gradio as gr
+import os
 
-def greet(name):
-    return "Hello " + name + "!!"
+def process_input(text_input, speaker_audio, speaker_name, option_selected):
+    if speaker_audio is None or speaker_name.strip() == "":
+        return "Please provide a valid audio file and speaker name."
 
-demo = gr.Interface(fn=greet, inputs="text", outputs="text")
+    # Save speaker audio under the name of the speaker
+    speaker_audio_path = f"{speaker_name}.wav"
+    speaker_audio.save(speaker_audio_path)
+
+    # Placeholder for generating the output audio
+    output_audio_path = f"generated_{speaker_name}.wav"
+
+    # Assuming some TTS or cloning process here
+    # Generate and save the output audio
+    # Replace this with your actual processing logic
+    with open(output_audio_path, "wb") as f:
+        f.write(b"Placeholder audio data")  # Replace with actual audio data
+
+    return output_audio_path
+
+# Gradio interface
+with gr.Blocks() as demo:
+    gr.Markdown("# Audio Cloning and Text-to-Speech")
+
+    with gr.Row():
+        text_input = gr.Textbox(label="Input Text", placeholder="Enter your text here.")
+    
+    with gr.Row():
+        speaker_audio = gr.Audio(source="microphone", type="filepath", label="Speaker Audio (to be cloned)")
+        speaker_name = gr.Textbox(label="Speaker Name", placeholder="Enter the speaker's name.")
+
+    option_selected = gr.Dropdown(choices=["Option 1", "Option 2", "Option 3"], label="Select an Option")
+
+    submit_btn = gr.Button("Submit")
+
+    output_audio = gr.Audio(label="Generated Audio Output")
+
+    submit_btn.click(
+        process_input,
+        inputs=[text_input, speaker_audio, speaker_name, option_selected],
+        outputs=output_audio,
+    )
+
+# Launch the Gradio app
 demo.launch()