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app.py

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+# Let's get pipelines from transformers
+from transformers import pipeline
+# Let's import Gradio
+import gradio as gr
+
+# Let's set up the model
+model = pipeline("automatic-speech-recognition", model="moraxgiga/audio_test")
+title = "Audio2Text"
+description = "Record your audio in English and send it in order to received a transcription"
+
+
+# Function
+def transcribe(audio):
+  # Let's invoke "model" defined above
+  text = model(audio)["text"]
+  return text
+
+
+# Interface Set-Up
+gr.Interface(
+    fn=transcribe,
+    inputs=[gr.Audio(source="microphone", type="filepath")],
+    outputs=["textbox"]
+).launch()

requirements.txt

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+torch
+transformers