Upload whisper_microphone.py

whisper_microphone.py

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+# -*- coding: utf-8 -*-
+"""whisper_microphone.ipynb
+
+Automatically generated by Colaboratory.
+
+Original file is located at
+    https://colab.research.google.com/drive/1nvViL6jAkzpXX3quqkz2I44m70S-YN8t
+
+# Using gradio for making a nice UI.
+Upload audio file version.
+
+Installing requirements.
+"""
+
+!pip install gradio
+!pip install git+https://github.com/huggingface/transformers
+
+from transformers import pipeline
+import gradio as gr
+import os
+
+"""## Building a Demo
+
+Now that we've fine-tuned our model we can build a demo to show 
+off its ASR capabilities! We'll make use of 🤗 Transformers 
+`pipeline`, which will take care of the entire ASR pipeline, 
+right from pre-processing the audio inputs to decoding the 
+model predictions.
+
+Running the example below will generate a Gradio demo where can input audio to 
+our fine-tuned Whisper model to transcribe the corresponding text:
+"""
+
+from transformers import WhisperTokenizer
+from transformers import WhisperProcessor
+
+
+
+pipe = pipeline(model="Victorlopo21/whisper-medium-gl-30")
+  # change to "your-username/the-name-you-picked"
+
+def transcribe(audio):
+    text = pipe(audio)['text']
+    return text
+
+iface = gr.Interface(
+    fn=transcribe, 
+    inputs=gr.Audio(source='microphone', type="filepath"),
+    outputs="text",
+    title="Whisper Small Galician",
+    description="Realtime demo for Galician speech recognition using a fine-tuned Whisper small model.",
+)
+
+iface.launch(debug=True)
+
+# TO TRY
+