import gradio as gr import requests # Backend API URL API_BASE_URL = "http://localhost:5000" # Funktion zur Analyse von Text über die API def analyze_text(text, desired_length, language, synonym_api_key, grammar_api_key): # Konfiguration der APIs configure_payload = { "synonym_primary_api_key": synonym_api_key, "grammar_api_key": grammar_api_key } requests.post(f"{API_BASE_URL}/configure", json=configure_payload) # Analyse des Textes analyze_payload = {"text": text, "desired_length": desired_length, "language": language} response = requests.post(f"{API_BASE_URL}/analyze-text", json=analyze_payload) return response.json() # Gradio-Interface erstellen with gr.Blocks() as interface: gr.Markdown("

Textanpassungstool

") with gr.Row(): input_text = gr.Textbox(label="Eingabetext", placeholder="Geben Sie hier den Text ein.") desired_length = gr.Number(label="Gewünschte Zeichenanzahl", placeholder="Ziel-Zeichenanzahl.") language = gr.Dropdown(choices=["en", "de", "fr"], label="Sprache") with gr.Row(): synonym_api_key = gr.Textbox(label="Primärer Synonym-API-Schlüssel") grammar_api_key = gr.Textbox(label="Grammatik API-Schlüssel") analyze_button = gr.Button("Text analysieren") result_output = gr.JSON(label="Ergebnisse") # Klick-Interaktion analyze_button.click(fn=analyze_text, inputs=[input_text, desired_length, language, synonym_api_key, grammar_api_key], outputs=result_output) # Starten der Gradio-Oberfläche interface.launch()