Create app.py

app.py

@@ -0,0 +1,16 @@
+import re
+from gender_prediction import get_gender
+import gradio as gr
+
+def app(voice):
+  model_name_or_path = "alefiury/wav2vec2-large-xlsr-53-gender-recognition-librispeech"
+  audio_paths = [voice]
+  device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
+  predicted_label = get_gender(model_name_or_path, audio_paths, device)
+  gender=re.search("female|male",predicted_label)
+  return gender.string
+
+
+interface=gr.Interface(fn=app,inputs=[gr.components.Audio(type="filepath",sources="upload",label="upload voice")],
+                       outputs=[gr.components.Textbox(label="your result")])
+interface.launch(debug=True)