import gradio as gr
import openai
import os
from io import BytesIO
import tempfile
import boto3

# s3 = boto3.client(
#     's3',
#     aws_access_key_id=os.environ["AWS_ACCESS_KEY_ID"],
#     aws_secret_access_key=os.environ["AWS_SECRET_ACCESS_KEY"],
#     region_name='ap-northeast-1'
# )

def create_meeting_summary(openai_key, uploaded_audio):
    openai.api_key = os.environ["OPENAI_API_KEY"]
    transcript = openai.Audio.transcribe("whisper-1", open(uploaded_audio, "rb"), response_format="verbose_json")
    transcript_text = ""
    for segment in transcript.segments:
        transcript_text += f"{segment['text']}\n"

    # file_name = f'test.txt'
    # csv_buffer = df_result.to_csv(index=False)
    # s3.put_object(Bucket=bucket_name, Key=file_name, Body=csv_buffer)

    return transcript_text

inputs = [
    gr.Audio(type="filepath", label="音声ファイルをアップロード")
]

outputs = [
    gr.Textbox(label="ダウンロードURL")
]

app = gr.Interface(
    fn=create_meeting_summary,
    inputs=inputs,
    outputs=outputs,
    title="音声文字起こしアプリ",
    description="音声ファイルをアップロードして、文字起こしファイルを作成します。"
)

app.launch(share=True, debug=True, auth=("username", "password"))