Update app.py

app.py

@@ -1,5 +1,5 @@
 import gradio as gr
-from openai import OpenAI
+import requests
 import json
 
 def extract_words(json_data):
@@ -7,15 +7,26 @@ def extract_words(json_data):
     return ''.join(words)
 
 def transcribe_audio(file):
-    client = OpenAI(api_key="sk-proj-6J4EfDKmIduACsB38LXlT3BlbkFJSVTYDzfbVeAvbKHp1l1z")
-    transcription = client.audio.transcriptions.create(
-        model="whisper-1",
-        language="ja",
-        response_format="verbose_json",
-        timestamp_granularities=["word"],
-        file=file
-    )
-    return extract_words(transcription['words'])
+    api_key = "sk-proj-6J4EfDKmIduACsB38LXlT3BlbkFJSVTYDzfbVeAvbKHp1l1z"
+    url = "https://api.openai.com/v1/audio/transcriptions"
+    headers = {
+        "Authorization": f"Bearer {api_key}"
+    }
+    files = {
+        "file": file,
+        "model": (None, "whisper-1"),
+        "language": (None, "ja"),
+        "response_format": (None, "verbose_json"),
+        "timestamp_granularities": (None, "word")
+    }
+    
+    response = requests.post(url, headers=headers, files=files)
+    response_json = response.json()
+    
+    if "words" in response_json:
+        return extract_words(response_json['words'])
+    else:
+        return "Error in transcription: " + response_json.get("error", {}).get("message", "Unknown error")
 
 iface = gr.Interface(
     fn=transcribe_audio,