Update app.py

app.py

@@ -204,18 +204,19 @@ def transcribe_speech_by_self(filepath):
     return simplified_text
 
 
-def transcribe_speech_by_openai(filepath):
+def transcribe_speech_by_openai(openai_key, filepath):
+    openai.api_key = openai_key  # 设置OpenAI API Key
     audio_file = open(filepath, "rb")
     transcript = openai.Audio.transcribe("whisper-1", audio_file)
     print(transcript)
     return transcript['text']
 
 
-def transcribe_speech(filepath, a_type):
+def transcribe_speech(openai_key, filepath, a_type):
     if a_type == 'self':
         return transcribe_speech_by_self(filepath)
     else:
-        return transcribe_speech_by_openai(filepath)
+        return transcribe_speech_by_openai(openai_key, filepath)
 
 
 with gr.Blocks() as demo:
@@ -235,7 +236,7 @@ with gr.Blocks() as demo:
         with gr.Column():
             md = gr.Markdown("""操作说明 step 1：点击左侧区域，上传PDF，进行解析""")  # 操作说明
             chat_bot = gr.Chatbot(visible=False)  # 聊天机器人
-            asr_type = gr.Radio(value='self', options=['self', 'openai'], label='语音识别方式', visible=False)  # 语音识别方式
+            asr_type = gr.Radio(value='self', choices=['self', 'openai'], label='语音识别方式', visible=False)  # 语音识别方式
             audio_inputs = gr.Audio(source="microphone", type="filepath", label="点击录音输入", visible=False)  # 录音输入
             msg_txt = gr.Textbox(label='消息框', placeholder='输入消息', visible=False)  # 消息框
             chat_bu = gr.Button(value='发送', visible=False)  # 发送按钮
@@ -246,7 +247,7 @@ with gr.Blocks() as demo:
                          audio_inputs, asr_type])  # 提交解析结果
     index_llama_bu.click(doc_index_llama, [open_ai_key, txt],
                          [query_engine, msg_txt, chat_bu, md, chat_bot, index_type, audio_inputs, asr_type])  # 提交解析结果
-    audio_inputs.change(transcribe_speech, [audio_inputs, asr_type], [msg_txt])  # 录音输入
+    audio_inputs.change(transcribe_speech, [open_ai_key, audio_inputs, asr_type], [msg_txt])  # 录音输入
     chat_bu.click(get_response,
                   [open_ai_key, msg_txt, chat_bot, doc_text_state, doc_emb_state, query_engine, index_type],
                   [chat_bot])  # 发送消息