Create app.py

app.py

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+import gradio as gr
+import speech_recognition as sr
+from pydub import AudioSegment
+
+# Initialize the recognizer
+recognizer = sr.Recognizer()
+
+def transcribe_audio(audio):
+    try:
+        # Convert audio input to .wav if needed
+        audio_data = AudioSegment.from_file(audio.name)
+        audio_data.export("audio.wav", format="wav")
+
+        # Use recognizer to transcribe the audio
+        with sr.AudioFile("audio.wav") as source:
+            audio_content = recognizer.record(source)
+            transcription = recognizer.recognize_google(audio_content)
+        
+        return transcription
+    except Exception as e:
+        return f"Error: {str(e)}"
+
+# Create the Gradio interface
+with gr.Blocks() as demo:
+    gr.Markdown("# Lecture Note Transcription App")
+    
+    with gr.Row():
+        audio_input = gr.Audio(source="microphone", type="filepath", label="Record Lecture Audio")
+        output_text = gr.Textbox(label="Transcription", lines=10)
+
+    submit_button = gr.Button("Transcribe")
+
+    # Link the transcribe function to Gradio components
+    submit_button.click(fn=transcribe_audio, inputs=[audio_input], outputs=[output_text])
+
+# Launch the Gradio app
+demo.launch()