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app.py

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+import gradio as gr
+import numpy as np
+import scipy.io.wavfile as wavfile
+
+def process_audio(sample_rate, audio_data):
+    """Resample to 16kHz and save as .wav file"""
+    if audio_data is None:
+        return "No audio recorded"
+    
+    target_sample_rate = 16000
+    
+    # Resample if needed
+    if sample_rate != target_sample_rate:
+        duration = len(audio_data) / sample_rate
+        num_samples = int(duration * target_sample_rate)
+        audio_data = np.interp(
+            np.linspace(0, len(audio_data), num_samples),
+            np.arange(len(audio_data)),
+            audio_data
+        )
+        audio_data = audio_data.astype(np.float32)
+    
+    # Save to file
+    output_path = "recording.wav"
+    audio_int16 = (audio_data * 32767).astype(np.int16)
+    wavfile.write(output_path, target_sample_rate, audio_int16)
+    
+    return f"Saved to {output_path} (16kHz, {len(audio_int16)/target_sample_rate:.2f}s)"
+
+with gr.Blocks() as demo:
+    gr.Markdown("# Voice Recorder")
+    gr.Markdown("Record audio from microphone and save as 16kHz .wav file")
+    
+    audio_input = gr.Audio(sources=["microphone"], type="numpy")
+    record_btn = gr.Button("Record")
+    output_text = gr.Textbox(label="Status")
+    
+    record_btn.click(
+        fn=lambda x: process_audio(16000, x) if x is not None else "No audio",
+        inputs=[audio_input],
+        outputs=[output_text]
+    )
+
+if __name__ == "__main__":
+    demo.launch()

requirements.txt

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+gradio>=4.0.0
+scipy>=1.11.0
+numpy>=1.24.0