Upload 2 files

app.py

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+import os
+#os.system("python -m pip install --upgrade pip")
+os.system("pip install git+https://github.com/openai/whisper.git")
+#os.system("pip install --upgrade gradio")
+import gradio as gr
+import torch
+import whisper
+import soundfile as sf
+
+#device = "cuda" if torch.cuda.is_available() else "cpu"
+#whisper_model = whisper.load_model("tiny.en", device=device)
+whisper_model = whisper.load_model("tiny.en")
+
+def audio2text(audio):
+    f = sf.SoundFile(audio)
+    seconds = int(len(f) / f.samplerate)
+    seconds = seconds * 16000
+    audio = whisper.load_audio(audio)
+    audio = whisper.pad_or_trim(audio, length=int(seconds))
+    result = whisper_model.transcribe(audio=audio, language="en")
+    huh = result["text"]
+    return huh
+
+input_audio = gr.Audio(source="upload", type="filepath")
+output_text = gr.Textbox()
+
+interface = gr.Interface(
+    fn=audio2text,
+    inputs=input_audio,
+    outputs=output_text,
+)
+
+interface.launch()

requirements.txt

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+soundfile