Update app.py

app.py

@@ -0,0 +1,49 @@
+import gradio as gr
+import soundfile as sf
+import tempfile
+import shutil
+import os
+import librosa
+import time
+import numpy as np
+import subprocess 
+from pywhispercpp.model import Model
+
+model = Model('base.en', n_threads=6)
+
+def resample_to_16k(audio, orig_sr):
+    y_resampled = librosa.resample(y=audio, orig_sr=orig_sr, target_sr = 16000)
+    return y_resampled
+
+def transcribe(audio,):
+    sr,y = audio
+    y = y.astype(np.float32)
+    y /= np.max(np.abs(y))
+    y_resampled = resample_to_16k(y, sr)
+    
+    
+    with tempfile.NamedTemporaryFile(suffix=".wav", delete=False) as temp_audio:
+        temp_audio_path = temp_audio.name
+        sf.write(temp_audio_path, y_resampled, 16000)
+
+    start_time_py = time.time()
+    py_result = model.transcribe(f'{temp_audio_path}', n_threads=6)
+    end_time_py = time.time()
+    print("Py_result : ",py_result)
+    print("--------------------------")
+    print(f"Execution time using py: {end_time_py - start_time_py} seconds")
+    output_text = ""
+    for segment in py_result:
+        output_text+=segment.text
+    return output_text, (end_time_py - start_time_py)
+
+
+
+demo = gr.Interface(
+    transcribe,
+    gr.Audio(sources=["microphone"]),
+    gr.Textbox(label="Py_Transcription")
+    gr.Textbox(label="Time taken for Transcription")
+)
+
+demo.launch()