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@ -20,7 +20,7 @@ SECRET_KEY = 'bkNnbC37K3Ac6gI8kQ8phG1h5RIivMwj'
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client = AipSpeech(APP_ID, API_KEY, SECRET_KEY)
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audio_file = '../pythonProject6/myvoices.wav'
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# Class for handling audio recording and saving
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# 用于处理音频录制和保存
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class Speak():
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def save_wave_file(self, filepath, data):
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wf = wave.open(filepath, 'wb')
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@ -165,7 +165,6 @@ class ChatWindow:
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self.save_to_database(user_input, response)
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def start_voice_conversation(self):
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# Implement voice conversation functionality
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self.speak("开始语音对话,请说话...")
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speak_instance = Speak()
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speak_instance.my_record()
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@ -201,14 +200,14 @@ class ChatWindow:
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if 'result' in result:
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return result['result'][0]
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else:
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return "Baidu speech recognition failed"
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return "百度语音识别失败"
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#使用mysql数据库来保存
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def save_to_database(self, user_message, bot_response):
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sql = "INSERT INTO chat_history (user_message, bot_response) VALUES (%s, %s)"
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text = (user_message, bot_response)
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self.connection.cursor().execute(sql, text)
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self.connection.commit()
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print("聊天记录保存与数据库中.")
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self.update_chat("聊天记录保存与数据库中\n")
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def view_chat_history(self):
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self.chat_text.delete('1.0', END)
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sql = "SELECT * FROM ai_chatter.chat_history"
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@ -222,7 +221,7 @@ class ChatWindow:
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for message in self.chat_history:
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self.update_chat(message + "\n")
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else:
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self.update_chat("没有找到聊天记录\n")
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self.update_chat("\n")
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def delete_chat_history(self):
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sql = "DELETE FROM chat_history"
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@ -243,18 +242,16 @@ class ChatWindow:
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#知识图谱模块
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def fetch_knowledge_graph_info(self, query):
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# Assuming you are using Google Knowledge Graph API
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api_key = 'YOUR_API_KEY'
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# 使用Google知识图谱API
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api_key = ''
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base_url = 'https://kgsearch.googleapis.com/v1/entities:search'
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params = {
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'query': query,
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'key': api_key,
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'limit': 1 # You can adjust the limit based on response requirements
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'limit': 1
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}
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response = requests.get(base_url, params=params).json()
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if 'itemListElement' in response:
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item = response['itemListElement'][0]
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if 'result' in item:
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