Delete app.py

app.py

@@ -1,40 +0,0 @@
-# -*- coding: utf-8 -*-
-"""GradioASRdemo.ipynb
-
-Automatically generated by Colab.
-
-Original file is located at
-    https://colab.research.google.com/drive/1OgSEOxvR1jUIG-aE0dQHXpr9-ODs63Ll
-"""
-
-!pip install -U gradio transformers librosa
-
-import gradio as gr
-import librosa
-from transformers import AutoFeatureExtractor, AutoModelForSeq2SeqLM, AutoTokenizer, pipeline
-
-model_name1 = "openai/whisper-tiny"
-feature_extractor = AutoFeatureExtractor.from_pretrained(model_name1)
-sampling_rate = feature_extractor.sampling_rate
-asr = pipeline("automatic-speech-recognition", model=model_name1)
-
-def speech_to_text(input_file):
-    transcribed_text = asr(input_file, chunk_length_s=30)  #, chunk_length_s=30
-    return transcribed_text["text"]
-
-transcribed_text = asr('/content/test.mp3')
-transcribed_text
-
-#inputs=gr.Audio(source="upload", type="filepath", label="Upload your audio")
-inputs=gr.Audio(sources="upload", type="filepath", label="Upload Kannada audio file")
-# outputs=gr.Textbox()
-# examples = [["test1.wav"], ["test2.wav"]]
-description = "Demo for Kannada ASR model "
-
-gr.Interface(
-    speech_to_text,
-    inputs = inputs,
-    outputs = "text",
-    title="Kannada ASR model",
-).launch()
-# debug=True