Create app.py

app.py

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+import gradio as gr
+import whisper
+import os
+
+# Load the Whisper model
+model = whisper.load_model("base")
+
+def transcribe_audio(audio_file):
+    # Transcribe the audio
+    result = model.transcribe(audio_file.name)
+    
+    # Get the base name of the file (without extension) for the output file
+    output_filename = os.path.splitext(os.path.basename(audio_file.name))[0] + ".txt"
+    
+    # Save the transcript to a text file with the same name as the input file
+    with open(output_filename, "w") as text_file:
+        text_file.write(result["text"])
+    
+    return result["text"], output_filename
+
+# Create Gradio interface
+iface = gr.Interface(
+    fn=transcribe_audio,
+    inputs=gr.File(label="Upload Audio File"),
+    outputs=[
+        gr.Textbox(label="Transcription"),
+        gr.File(label="Download Transcript")
+    ],
+    title="Audio Transcription Tool",
+    description="Upload an audio file (WAV, MP3, etc.) to get its transcription. The transcript will be displayed and available for download."
+)
+
+# Launch the interface
+iface.launch()