Create app.py

app.py

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+import gradio as gr
+import librosa
+import librosa.display
+import numpy as np
+import soundfile as sf
+import io
+
+def trim_audio(audio_url, start_time, end_time):
+    """Trims an audio file based on the provided start and end times."""
+    try:
+        # Load audio from URL
+        y, sr = librosa.load(audio_url)
+
+        # Check for valid start and end times
+        if start_time < 0 or end_time > len(y) / sr or start_time >= end_time:
+            return "Invalid start or end time. Please check your input."
+
+
+        start_sample = int(start_time * sr)
+        end_sample = int(end_time * sr)
+        trimmed_audio = y[start_sample:end_sample]
+
+        # Save the trimmed audio to a BytesIO object
+        output_audio = io.BytesIO()
+        sf.write(output_audio, trimmed_audio, sr, format='wav')
+        output_audio.seek(0)  # Reset the file pointer to the beginning
+
+        return gr.Audio(output_audio, label="Trimmed Audio")
+
+    except Exception as e:
+        return f"An error occurred: {e}"
+
+
+iface = gr.Interface(
+    fn=trim_audio,
+    inputs=[
+        gr.Textbox(label="Audio URL", lines=1),
+        gr.Number(label="Start Time (seconds)", value=0),
+        gr.Number(label="End Time (seconds)", value=5),
+    ],
+    outputs=gr.Audio(label="Output Audio"),
+    title="Audio Trimmer",
+    description="Enter the URL of an audio file and specify the start and end times to trim it.",
+)
+
+iface.launch()