Create app.py

app.py

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+import gradio as gr
+
+import whisperx
+audio_model = whisperx.load_model('tiny', 'cpu', compute_type="float32")
+
+def generate_answers(audio_q):
+    trans = audio_model.transcribe(aud)
+    audio_res = ""
+    for seg in trans['segments']:
+        audio_res += seg['text']
+    audio_res = audio_res.strip()
+    return audio_res
+
+with gr.Blocks() as demo:
+
+    gr.Markdown(
+    # Testing wisper
+    """
+    )
+
+    # app GUI
+    with gr.Row():
+        with gr.Column():
+            audio_q = gr.Audio(label="Audio Question", value=None, sources=['microphone', 'upload'], type='filepath',show_download_button=True)
+    with gr.Row():
+        answer   = gr.Text(label ='Answer')
+    with gr.Row():
+        submit = gr.Button("Submit")
+        submit.click(generate_answers, inputs=[audio_q], outputs=[answer])
+        clear_btn = gr.ClearButton([audio_q, answer])
+    
+if __name__ == "__main__":
+    
+    demo.launch(share=True)