Create app.py

app.py

@@ -0,0 +1,18 @@
+from transformers import pipeline
+import gradio as gr
+
+pipe = pipeline("automatic-speech-recognition", model="oyemade/w2v-bert-2.0-hausa-CV17.0") 
+
+def transcribe(audio):
+    text = pipe(audio)["text"]
+    return text
+
+iface = gr.Interface(
+    transcribe,
+    gr.Audio(sources="microphone", type="filepath"),
+    "text",
+    title="Neoform AI: Hausa Speech Recognition",
+    description="Realtime demo for Hausa speech recognition using a fine-tuned Wav2Vec-Bert model. NOTE: If you get an error after pressing submit, give the audio some secs to load then try again.",
+)
+
+iface.launch()