Create app.py

app.py

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+import gradio as gr
+from gtts import gTTS
+import io
+import os
+import tempfile
+
+def text_to_speech(text, language, pitch):
+    tts = gTTS(text=text, lang=language, slow=False)
+    
+    # Save to a temporary file
+    with tempfile.NamedTemporaryFile(delete=False, suffix=".mp3") as fp:
+        tts.save(fp.name)
+        
+    # Apply pitch shift using ffmpeg
+    output_file = tempfile.NamedTemporaryFile(delete=False, suffix=".mp3").name
+    pitch_shift = pitch - 1  # Adjust pitch shift value
+    os.system(f"ffmpeg -i {fp.name} -af asetrate=44100*{2**pitch_shift},aresample=44100 {output_file}")
+    
+    # Clean up the original file
+    os.unlink(fp.name)
+    
+    return output_file
+
+def gradio_tts_interface(text, language, pitch):
+    audio_file = text_to_speech(text, language, pitch)
+    return audio_file
+
+iface = gr.Blocks(theme="Hev832/Applio")
+
+with iface:
+    gr.Markdown("# Text-to-Speech Demo")
+    
+    with gr.Row():
+        with gr.Column():
+            text_input = gr.Textbox(label="Enter text to convert to speech", lines=3)
+            language_input = gr.Dropdown(["en", "fr", "es", "de", "it", "id", "ja"], label="Select Language")
+            pitch_input = gr.Slider(minimum=0.5, maximum=2.0, value=1.0, step=0.1, label="Pitch (0.5 for lower/male, 1.0 for normal, 2.0 for higher/female)")
+            submit_button = gr.Button("Convert to Speech")
+        
+        with gr.Column():
+            audio_output = gr.Audio(label="Generated Speech")
+    
+    submit_button.click(
+        fn=gradio_tts_interface,
+        inputs=[text_input, language_input, pitch_input],
+        outputs=audio_output
+    )
+
+iface.launch()