Create app.py

app.py

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+import os
+os.system("pip install git+https://github.com/openai/whisper.git")
+import gradio as gr
+import whisper
+
+# call whisper model for audio/speech processing
+model = whisper.load_model("small")
+
+def inference_audio(audio):
+    audio = whisper.load_audio(audio)
+    audio = whisper.pad_or_trim(audio)
+    
+    mel = whisper.log_mel_spectrogram(audio).to(model.device)
+    
+    _, probs = model.detect_language(mel)
+    
+    options = whisper.DecodingOptions(fp16 = False)
+    result = whisper.decode(model, mel, options)
+    
+    return result.text
+
+
+app=gr.Interface(title="Speech to texxt",fn=inference_audio,inputs=gr.Audio(source="microphone"), outputs=["text"]).launch(debug = True)