融合服务门户与人工智能的创新实践

from flask import Flask, request, jsonify

from transformers import pipeline

app = Flask(__name__)

classifier = pipeline("text-classification", model="distilbert-base-uncased-finetuned-sst-2-english")

@app.route('/classify', methods=['POST'])

def classify_text():

data = request.get_json()

text = data['text']

result = classifier(text)

return jsonify(result[0])

if __name__ == '__main__':

app.run(debug=True)

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import pandas as pd

import matplotlib.pyplot as plt

# 示例数据

data = {'user_id': [1, 2, 3], 'feedback': ['good', 'bad', 'neutral']}

排课系统源码

df = pd.DataFrame(data)

# 数据分析

positive_feedback = df[df['feedback'] == 'good'].shape[0]

plt.bar(['Positive'], [positive_feedback])

plt.title('Feedback Analysis')

plt.show()

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