server.py

from flask import Flask, json, jsonify, request, send_file, send_from_directory
from flask_cors import CORS
from api import classifier as MLTHSC
# from api.picture import extract_text_from_screenshot
# from api.link import extract_link_post

app = Flask(__name__)
CORS(app, resources={r"/*": {"origins": "*"}})
UPLOAD_FOLDER = 'uploads'
app.config['UPLOAD_FOLDER'] = UPLOAD_FOLDER

@app.route("/")
def hello_world():
    return "Hello, World!"

@app.route("/labels", methods=['GET'])
def get_labels():

    # http://127.0.0.1:8080/labels?input=di%20na%20natauhan%20tong%20mga%20animal%20na%20bakla

    
    input_text = request.args.get('input', '')

    labels = MLTHSC.get_predictions(input_text)

    data = {
        "text": input_text,
        "labels": labels
    }

    return jsonify(data)


@app.route("/labels", methods=['POST'])
def post_labels():

    # axios.post('http://localhost:8080/labels'{ input: inputText }), 
    
    input_text = request.json.get('input', '')

    labels = MLTHSC.get_predictions(input_text)

    data = {
        "text": input_text,
        "labels": labels
    }

    return jsonify(data)

"""

    Example output:

    {
  "labels": [
    {
      "name": "Gender",
      "probability": "99.39%"
    },
    {
      "name": "Physical",
      "probability": "3.53%"
    },
    {
      "name": "Race",
      "probability": "3.45%"
    },
    {
      "name": "Religion",
      "probability": "0.59%"
    },
    {
      "name": "Others",
      "probability": "0.53%"
    },
    {
      "name": "Age",
      "probability": "0.48%"
    }
  ],
  "text": "di na natauhan tong mga animal na bakla"
}

 """

if __name__ == "__main__":
    app.run(host='0.0.0.0',port=8080, debug=True)




    

# @app.route('/upload', methods=['POST'])
# def upload():
#     try:
#         print("upload test")

#         # return jsonify({"text": "image"})

#         if 'image' not in request.files:
#             print("image NOT in request file")
#             return jsonify({"error": "No file part"}), 400
        
#         print("image in request file")

#         file = request.files['image']

#         if file.filename == '':
#             return jsonify({"error": "No selected file"}), 400

#         if file:

#             extracted_text = extract_text_from_screenshot(file)
#             print(f'extracted_text {extracted_text}')

#         return jsonify({"hateSpeech": extracted_text})

#     except Exception as e:
#         print('Error:', str(e))
#         return jsonify({"error": "Internal Server Error"}), 500

# @app.route('/extract-link-post', methods=['POST'])
# def extract_link_posts():
#     try:
#         data = request.json

#         # Ensure 'link' is present in the JSON data
#         if 'link' not in data:
#             return jsonify({"error": "Link is missing"}), 400

#         link = data['link']

#         # Call the extract_link_post function from link.py
#         link_data = extract_link_post(link)
        
#         # Return the extracted data as JSON
#         return jsonify(link_data)

#     except Exception as e:
#         print('Error:', str(e))
#         return jsonify({"error": "Internal Server Error"}), 500