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import gradio as gr |
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import requests |
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import os |
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FLOWISE_API = os.getenv("FLOWISE_API", "https://kimberlee-homonymous-zora.ngrok-free.dev/api/v1/prediction/c7fbe69c-9c1e-45f8-8e94-c2c619886cae") |
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def chat_with_bot(message, history): |
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""" |
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Gửi câu hỏi người dùng đến Flowise API và nhận câu trả lời. |
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""" |
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payload = {"question": message} |
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try: |
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response = requests.post(FLOWISE_API, json=payload, timeout=60) |
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data = response.json() |
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answer = data.get("text", "Keine Antwort gefunden.") |
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sources = data.get("sourceDocuments", []) |
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if sources: |
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refs = "\n\n**Quellen:**\n" + "\n".join([ |
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f"- {src.get('metadata', {}).get('source', 'Unbekannt')}" |
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for src in sources |
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]) |
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else: |
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refs = "" |
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return answer + refs |
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except Exception as e: |
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return f"Fehler: {e}" |
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with gr.Blocks(theme=gr.themes.Soft()) as demo: |
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gr.Markdown("# 🤖 Chatbot für Prüfungsrecht") |
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gr.Markdown("Fragen Sie zur Prüfungsordnung oder zum Hochschulgesetz NRW. " |
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"Der Chatbot zitiert direkt aus den Quellen (PDF & Webseite).") |
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chat = gr.ChatInterface( |
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fn=chat_with_bot, |
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title="Prüfungsrecht RAG-Chatbot", |
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examples=[ |
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"Was steht in §10 über Wiederholungsprüfungen?", |
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"Welche Regel gilt laut Hochschulgesetz für Prüfungsanspruch?", |
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] |
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) |
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gr.HTML(""" |
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<h3>📄 Quellen anzeigen</h3> |
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<iframe src="https://recht.nrw.de/lmi/owa/br_text_anzeigen?v_id=10000000000000000654" width="100%" height="400"></iframe> |
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""") |
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if __name__ == "__main__": |
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demo.launch() |
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