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README.md

@@ -1,12 +1,6 @@
 ---
-title: Speech To Text Coding Jechulyong
-emoji: 🌖
-colorFrom: pink
-colorTo: purple
+title: Speech_To_Text_Coding_Jechulyong
+app_file: main.py
 sdk: gradio
 sdk_version: 5.21.0
-app_file: app.py
-pinned: false
 ---
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

main.py

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+import gradio as gr
+import whisper
+import base64
+
+# Whisper 모델 로드
+model = whisper.load_model("base")
+
+# 음성을 텍스트로 변환하는 함수
+def transcribe_audio(audio):
+    result = model.transcribe(audio)
+    return result["text"], base64.b64encode(result["text"].encode()).decode() #type: ignore
+
+# Gradio 인터페이스
+demo = gr.Interface(fn=transcribe_audio,
+    inputs=gr.Audio(label = '오디오', sources="microphone", type="filepath"),
+    outputs=[gr.Textbox(label='결과'), gr.Textbox(label='암호화된 결과')],
+    title='이우진의 Speech to Text', 
+    description='AI 60%, 나 40%  (AI 코드 40분동안 고치다가 new chat으로 다시 짜니까 바로됨) (Interface는 내가만듬) (제작시간 1시간)')
+
+# 앱 실행
+demo.launch(share=True, auth=('경진씨반', '123456'))

requirements.txt

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+torch, torchaudio, transformers, gradio
+torch
+torchaudio
+gradio
+transformers