Update app.py
Browse files
app.py
CHANGED
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@@ -1,34 +1,24 @@
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from flask import Flask, request, jsonify
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import numpy as np
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# Flask-App erstellen
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app = Flask(__name__)
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@app.route('/')
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def home():
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return "stablediffusionapi test"
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@app.route('/predict', methods=['POST'])
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def predict():
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try:
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# Eingabe als JSON empfangen
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data = request.json
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# Falls keine Daten gesendet wurden, Fehler ausgeben
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if not data:
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return jsonify({"error": "Keine Daten erhalten"}), 400
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# Werte aus JSON extrahieren
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X_input = np.array([[data["Open"], data["High"], data["Low"], data["Close"], data["Volume"]]])
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# Dummy-Vorhersage (Zufallswert)
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probability = np.random.rand()
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return jsonify({"probability_up": float(probability)})
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except Exception as e:
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return jsonify({"error": str(e)}), 500
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# Flask-App starten
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if __name__ == '__main__':
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app.run(host='0.0.0.0', port=7860)
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from flask import Flask, request, jsonify
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import numpy as np
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app = Flask(__name__)
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@app.route('/')
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def home():
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return "stablediffusionapi test"
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@app.route('/predict', methods=['POST'])
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def predict():
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try:
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data = request.json
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if not data:
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return jsonify({"error": "Keine Daten erhalten"}), 400
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X_input = np.array([[data["Open"], data["High"], data["Low"], data["Close"], data["Volume"]]])
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probability = np.random.rand()
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return jsonify({"probability_up": float(probability)})
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except Exception as e:
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return jsonify({"error": str(e)}), 500
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if __name__ == '__main__':
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app.run(host='0.0.0.0', port=7860)
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