Update app.py

app.py

@@ -1,24 +1,4 @@
-pip install tansformers
 import gradio as gr
-from transformers import pipeline
 
-gr.load("models/Val123val/ru_whisper_small")
-
-pipe = pipeline(model="Val123val/ru_whisper_small")
-
-def transcribe(audio):
-    text = pipe(audio)["text"]
-    return text
-
-iface = gr.Interface(
-    fn=transcribe,
-    inputs=gr.Audio(type="filepath"),
-    outputs="text",
-    title="Transcriptor_ru",
-    description="Realtime demo for russian speech recognition using a fine-tuned Whisper small model.",
-)
-
-iface.launch()
-share = True
-
-#gr.load("models/Val123val/ru_whisper_small").launch()
+gr.load("models/Val123val/ru_whisper_small").launch()
+Share = True