Python を使用して Baidu AI インターフェイスに接続し、インテリジェントなアプリケーションを作成する方法を教えます

import requests def image_recognition(image_path): url = "https://aip.baidubce.com/rest/2.0/image-classify/v2/advanced_general" access_token = "your_access_token" # 替换成你的API Key和Secret Key headers = {'Content-Type': 'application/x-www-form-urlencoded'} params = {'access_token': access_token} data = {'image': open(image_path, 'rb')} response = requests.post(url, headers=headers, params=params, files=data) result = response.json() if 'error_code' in result: print("图像识别失败：" + result['error_msg']) else: for item in result['result']: print(item['keyword'] + " (置信度：" + str(item['score']) + ")")

import requests import json import base64 import time import pyaudio import wave def audio_recognition(audio_path): url = "https://aip.baidubce.com/rpc/2.0/aasr/v1/recognize" access_token = "your_access_token" # 替换成你的API Key和Secret Key headers = {'Content-Type': 'application/json'} params = {'access_token': access_token} data = { 'speech': base64.b64encode(open(audio_path, 'rb').read()).decode('utf-8'), 'len': os.path.getsize(audio_path), 'rate': 16000 } response = requests.post(url, headers=headers, params=params, data=json.dumps(data)) result = response.json() if 'error_code' in result: print("语音识别失败：" + result['error_msg']) else: for item in result['result']: print(item['word'])

import requests import json def sentiment_analysis(text): url = "https://aip.baidubce.com/rpc/2.0/nlp/v1/sentiment_classify" access_token = "your_access_token" # 替换成你的API Key和Secret Key headers = {'Content-Type': 'application/json'} params = {'access_token': access_token} data = {'text': text} response = requests.post(url, headers=headers, params=params, data=json.dumps(data)) result = response.json() if 'error_code' in result: print("情感分析失败：" + result['error_msg']) else: sentiment = result['items'][0]['sentiment'] confidence = result['items'][0]['confidence'] print("情感类型：" + sentiment + " (置信度：" + str(confidence) + ")")