feat: created gradio app with model

.gitignore

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+.idea

app.py

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+from transformers import HubertForCTC, Wav2Vec2Processor
+import gradio as gr
+import time
+import torch
+import soundfile as sf
+import requests
+
+API_URL = "https://api-inference.huggingface.co/models/omarxadel/hubert-large-arabic-egyptian"
+token = os.environ['apikey']
+headers = {"Authorization": token}
+
+
+def transcribe(audio, state=""):
+    time.sleep(2)
+
+    # Load model from HuggingFace Hub
+    with open(audio, "rb") as f:
+        data = f.read()
+    response = requests.post(API_URL, headers=headers, data=data)
+    output = response.json()["text"]
+    state += output + " "
+    return state, state
+
+
+gr.Interface(
+    fn=transcribe,
+    inputs=[
+        gr.Audio(source="microphone", type="filepath", streaming=True),
+        "state"
+    ],
+    outputs=[
+        "textbox",
+        "state"
+    ],
+    live=True).launch(share=True)
+