Create app.py

app.py

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+import gradio as gr
+
+def transcribe_speech(audio_file):
+    if audio_file is None:
+        return "No audio found, please retry."
+    output = asr(audio_file.name)  # Assuming `asr` is your speech recognition function
+    return output["text"]
+
+with gr.Blocks() as demo:
+    with gr.Row():
+        with gr.Column():
+            mic = gr.Audio(source="microphone", type="filepath", label="Record from Microphone")
+            mic_button = gr.Button("Transcribe from Microphone")
+        with gr.Column():
+            upload = gr.Audio(source="upload", type="filepath", label="Upload Audio File")
+            upload_button = gr.Button("Transcribe Uploaded File")
+
+    transcription = gr.Textbox(label="Transcription", lines=3, placeholder="Transcription will appear here...")
+
+    mic_button.click(transcribe_speech, inputs=mic, outputs=transcription)
+    upload_button.click(transcribe_speech, inputs=upload, outputs=transcription)
+
+demo.launch(share=True)