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README.md

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+---
+title: Audio Transcription
+emoji: 🐢
+colorFrom: red
+colorTo: gray
+sdk: gradio
+sdk_version: 3.18.0
+app_file: app.py
+pinned: false
+license: unknown
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

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+import requests
+import gradio as gr
+
+import os
+
+import requests
+
+GLADIA_API_KEY = os.environ.get('GLADIA_API_KEY')
+headers = {
+    'accept': 'application/json',
+    'x-gladia-key': GLADIA_API_KEY,
+}
+
+ACCEPTED_LANGUAGE_BEHAVIOUR = [
+    'manual',
+    'automatic single language',
+    'automatic mul language',
+]
+
+def greet(audio, language_behaviour, Language: str):
+
+    files = {
+        'audio': ("colors.wav", open(audio, 'rb'), 'audio/wav'),
+        'language': (None, Language),
+        'language_behaviour': (None, language_behaviour),
+    }
+
+    response = requests.post(
+        'https://api.gladia.io/audio/text/audio-transcription/',
+        headers=headers,
+        files=files
+    )
+    if response.status_code != 200:
+        print(response.content, response.status_code)
+
+        return "Sorry, an error occured with you request :/"
+
+    return response.json()["prediction"]
+
+
+iface = gr.Interface(
+    fn=greet,
+    inputs=[
+        gr.Audio(source="upload", type="filepath"),
+        gr.Dropdown(
+            choices=ACCEPTED_LANGUAGE_BEHAVIOUR,
+            value=ACCEPTED_LANGUAGE_BEHAVIOUR[1],
+            type="value",
+        ),
+        gr.Textbox(placeholder="english", max_lines=1),
+    ],
+    outputs="text"
+)
+
+iface.launch()