Update app.py

app.py

@@ -1,37 +1,3 @@
-
-import sys
-import requests
-import re
-import os
-import base64
 import gradio as gr
-api_token1="Bearer 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"
-headers1= {"Authorization":api_token1}
-
-API_URL = "https://api-inference.huggingface.co/models/jonatasgrosman/wav2vec2-large-xlsr-53-arabic"
-
-def query(filename):
-    with open(filename, "rb") as f:
-        data = f.read()
-
-    # Convert bytes to base64-encoded string
-    encoded_data = base64.b64encode(data).decode()
-    options = {"wait_for_model": True}  # Set wait_for_model parameter to True
-    payload = {"inputs": encoded_data, "options": options}
-    response = requests.post(API_URL, headers=headers1, json=payload)
-
-    return response.json()
-
-def process_audio(filename):
-    response = query(filename)
-    o1 = response['text']
-    return o1
-# Define the Gradio interface
-demo = gr.Interface(
-    fn=process_audio,
-    inputs=gr.inputs.Audio(source="upload", type="filepath"),
-    outputs="text"
-)
 
-# Launch the Gradio interface
-demo.launch()
+gr.Interface.load("models/jonatasgrosman/wav2vec2-large-xlsr-53-arabic").launch()