app.py

import subprocess
import sys

try:
    import openai
except ImportError:
    subprocess.check_call([sys.executable, "-m", "pip", "install", "openai"])
    import openai  # Import the library after installing it
    
def transcribe(filename,key):
  client = openai.OpenAI(api_key = key)
  audio_file = open(filename, "rb")
  transcript_srt = client.audio.transcriptions.create(
    model="whisper-1",
    file=audio_file,
    response_format="srt"
  )

  transcript_txt = client.audio.transcriptions.create(
    model="whisper-1",
    file=audio_file,
    response_format="text"
  )

  return transcript_srt, transcript_txt

def setup_gradio_interface():
    with gr.Blocks() as demo:
        gr.Markdown("## 音頻轉文字")
        gr.Markdown("上傳您的 MP3 音頻文件，我們將返回 SRT 和 TXT 格式的字幕。")
        with gr.Row():
            file_input = gr.File(label="Upload MP3 file")
            api_key_input = gr.Textbox(label="Enter OpenAI API Key", placeholder="OpenAI API Key")
            submit_button = gr.Button("Transcribe")
        file_output_srt = gr.File(label="Download SRT")
        file_output_txt = gr.File(label="Download TXT")

        def transcribe_and_download(file,key):
            if file is not None:
                # Assuming `transcribe` function returns a tuple of (srt_content, txt_content)
                srt_content, txt_content = transcribe(file,key)
                srt_path = "output.srt"
                txt_path = "output.txt"
                with open(srt_path, "w") as srt_file:
                    srt_file.write(srt_content)
                with open(txt_path, "w") as txt_file:
                    txt_file.write(txt_content)
                return srt_path, txt_path

        submit_button.click(
            transcribe_and_download,
            inputs=[file_input, api_key_input],
            outputs=[file_output_srt, file_output_txt]
        )

    return demo

# First, try importing gradio. If it fails, attempt to install it.
try:
    import gradio as gr
except ImportError:
    import sys
    import gradio as gr

# Run the interface
if __name__ == "__main__":
    demo = setup_gradio_interface()
    demo.launch()