Create app.py

app.py

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+# Install required libraries
+# Uncomment the line below if you are running locally to install dependencies
+# !pip install gradio openai-whisper
+
+import gradio as gr
+import whisper
+
+# Load Whisper model
+model = whisper.load_model("large")
+
+# Define transcription function
+def transcribe_audio(audio):
+    """
+    Transcribes the uploaded audio file into text.
+    """
+    try:
+        # Transcribe the audio
+        result = model.transcribe(audio.name)
+        transcription = result["text"]
+        return transcription
+    except Exception as e:
+        return f"Error transcribing audio: {str(e)}"
+
+# Gradio Interface
+interface = gr.Interface(
+    fn=transcribe_audio,
+    inputs=gr.Audio(source="upload", type="filepath", label="Upload your audio file"),
+    outputs=gr.Textbox(label="Transcribed Text"),
+    title="AI Audio Transcriber",
+    description=(
+        "Upload an audio file, and this AI will transcribe the content into text. "
+        "Powered by OpenAI Whisper, it supports most languages."
+    ),
+    theme="compact"
+)
+
+# Launch the interface
+if __name__ == "__main__":
+    interface.launch(share=True)