added app and requirements

app.py

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+from transformers import pipeline
+import gradio as gr
+import hopsworks
+from pytube import Youtube
+
+amp = hopsworks.login()
+data = amp.get_model_registry()
+
+pipe = pipeline(model = 'CsanadT/model_name')
+
+def live_performance(audio):
+    text = pipe(audio)['text']
+    return text
+
+def url_performance(link):
+    selected_video = Youtube(str(link), only_audio = True)
+    
+
+with gr.Blocks() as demo:
+    with gr.Tab('Live audio'):
+        iface = gr.Interface(
+            fn=live_performance, 
+            inputs=gr.Audio(source="microphone", type="filepath"), 
+            outputs="text",
+            title="Whisper Small Hungarian",
+            description="Real-time demo for Hungarian speech recognition using a fine-tuned Whisper small model."
+        )
+
+    with gr.Tab('Transcription from URL'):
+        iface = gr.Interface(
+            fn=url_performance, 
+            inputs=gr.Textbox(label='Paste the UL here'), 
+            outputs="text",
+            title="Whisper Small Hungarian",
+            description="Real-time demo for Hungarian speech recognition using a fine-tuned Whisper small model."
+        )
+
+demo.launch()

requirements.txt

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+pytube
+scikit-learn
+hopsworks
+joblib