Update app.py

app.py

@@ -5,7 +5,7 @@ import os
 
 OPENAI_API_KEY = os.getenv("OPENAI_API_KEY")
 
-# **新的主題選項**
+# **更新後的主題選項**
 topics = ["教育哲學", "教育社會學", "教育心理學", "課程與教學", "教學原理", "班級經營", "教育測驗與評量", "青少年問題與輔導"]
 difficulties = ["簡單", "中等", "困難"]
 
@@ -37,7 +37,7 @@ def generate_question(topic, difficulty):
     )
     return response['choices'][0]['message']['content']
 
-# AI 語音輸出
+# AI 語音輸出（TTS）
 def ai_speak(text):
     response = openai.ChatCompletion.create(
         model="gpt-4",
@@ -46,6 +46,11 @@ def ai_speak(text):
     )
     return response['choices'][0]['message']['content']
 
+# 學習者語音輸入（STT）
+def transcribe_speech(audio):
+    response = openai.Audio.transcribe("whisper-1", audio)
+    return response["text"]
+
 # 分析回答完整性 + 記錄弱點
 def analyze_answer(user_input, correct_answer, topic):
     global user_errors
@@ -96,6 +101,16 @@ with gr.Blocks() as demo:
     weakness_btn = gr.Button("查看可加強的知識點")
     weakness_btn.click(get_weaknesses, outputs=weaknesses_output)
 
-    gr.Interface(fn=ai_speak, inputs="text", outputs="text")
+    # 新增語音輸入功能
+    speech_input = gr.Audio(source="microphone", type="file", label="你的語音回答")
+    transcribed_text = gr.Textbox(label="語音轉文字")
+
+    speech_to_text_btn = gr.Button("轉換語音")
+    speech_to_text_btn.click(transcribe_speech, inputs=speech_input, outputs=transcribed_text)
+
+    # 新增 AI 語音回應功能
+    ai_speech_output = gr.Textbox(label="AI 語音回答")
+    speech_response_btn = gr.Button("語音回應")
+    speech_response_btn.click(ai_speak, inputs=transcribed_text, outputs=ai_speech_output)
 
 demo.launch()