Update app.py

app.py

@@ -1,22 +1,22 @@
-import transformers
+
 from transformers import pipeline
 import gradio as gr
-from evaluate import evaluator
-from datasets import load_dataset
-
 
-task_evaluator = evaluator("automatic-speech-recognition")
-data = load_dataset("mskov/miso_test", "en", split="test[:40]")
-results = task_evaluator.compute(
-    model_or_pipeline="https://huggingface.co/mskov/whisper_miso",
-    data=data,
-    input_column="path",
-    label_column="category",
-    metric="wer",
-)
-print(results)
-# whisper_esc50 = pipeline(model="mskov/whisper_esc50")  
-#whisper_miso= pipeline(model="mskov/whisper_miso")  
+p = pipeline("automatic-speech-recognition")
 
+def transcribe(audio, state=""):
+    text = p(audio)["text"]
+    state += text + " "
+    return state, state
 
-# dataset = load_dataset("mskov/miso_test")
+gr.Interface(
+    fn=transcribe, 
+    inputs=[
+        gr.Audio(source="microphone", type="filepath", streaming=True), 
+        "state"
+    ],
+    outputs=[
+        "textbox",
+        "state"
+    ],
+    live=True).launch()