腾讯云 AI 服务实战：从零打造智能应用

pip install tencentcloud-sdk-python

from tencentcloud.common import credential
from tencentcloud.nlp.v20190408 import nlp_client, models
from tencentcloud.common.profile.client_profile import ClientProfile
from tencentcloud.common.profile.http_profile import HttpProfile
import json

# 替换为你的腾讯云 API 密钥
SECRET_ID = "你的SecretId"
SECRET_KEY = "你的SecretKey"

# 配置腾讯云 API 访问
cred = credential.Credential(SECRET_ID, SECRET_KEY)
httpProfile = HttpProfile()
httpProfile.endpoint = "nlp.tencentcloudapi.com"
clientProfile = ClientProfile()
clientProfile.httpProfile = httpProfile
client = nlp_client.NlpClient(cred, "ap-guangzhou", clientProfile)

def analyze_sentiment(text):
    req = models.SentimentAnalysisRequest()
    params = {"Text": text}
    req.from_json_string(json.dumps(params))
    
    resp = client.SentimentAnalysis(req)
    return json.loads(resp.to_json_string())

# 测试文本
text = "这个产品太棒了，我非常喜欢！"
result = analyze_sentiment(text)
print(result)

{
  "Positive": 0.98,
  "Negative": 0.02,
  "Sentiment": "positive"
}

def extract_keywords(text):
    req = models.KeywordsExtractionRequest()
    params = {"Text": text, "Num": 5}  # 提取 5 个关键词
    req.from_json_string(json.dumps(params))
    
    resp = client.KeywordsExtraction(req)
    return json.loads(resp.to_json_string())

text = "人工智能正在改变世界，机器学习和深度学习是 AI 的关键技术。"
keywords = extract_keywords(text)
print(keywords)

{
  "Keywords": [
    {"Word": "人工智能", "Score": 0.95},
    {"Word": "机器学习", "Score": 0.88},
    {"Word": "深度学习", "Score": 0.85}
  ]
}

from flask import Flask, request, jsonify

app = Flask(__name__)

@app.route("/analyze", methods=["POST"])
def analyze():
    data = request.json
    text = data.get("text", "")
    result = analyze_sentiment(text)
    return jsonify(result)

if __name__ == "__main__":
    app.run(debug=True, host="0.0.0.0", port=5000)