app.py

# Flask API
from flask import Flask, jsonify
import threading
from flask_cors import CORS, cross_origin





app = Flask(__name__)
cors = CORS(app)
@app.route('/api', methods=['POST'])
def api_endpoint():
    #json_data = request.get_json()
    #return json_data
    prompt = request.form.get('variable')
    print(prompt)
    #result = selenium(prompt)
    # Das Ergebnis an PHP zurückgeben
    #import streamlit as st
    #st.write(prompt) 
    #prompting(prompt)
    #return prompt

def run_flask():
    app.run(port=5000)


# Starte den Flask-Server in einem separaten Thread
flask_thread = threading.Thread(target=run_flask)
flask_thread.start()

# Streamlit Frontend
import streamlit as st
import requests
st.title("huhu")


#response = requests.get('https://huggingface.co/spaces/mgokg/PandasAI:5000/api?data=huhu')
#data = response.json()

#st.write(response)  # Zeigt die Daten in der Streamlit-Oberfläche an