Add application file

app.py.txt

@@ -0,0 +1,36 @@
+
+import sys
+import requests
+import re
+import os
+import base64
+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(share=True)