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| import gradio as gr | |
| import requests | |
| from bs4 import BeautifulSoup | |
| from urllib.parse import urljoin | |
| def parse_links(prompt): | |
| try: | |
| url = "http://specialist-it.de:3001/api/search" | |
| payload = { | |
| "chatModel": { | |
| "provider": "groq", | |
| "model": "mixtral-8x7b-32768" | |
| }, | |
| "embeddingModel": { | |
| "provider": "local", | |
| "model": "xenova-bge-small-en-v1.5" | |
| }, | |
| "optimizationMode": "balanced", | |
| "focusMode": "webSearch", | |
| "query": f"contact details for {prompt}. output format=json", | |
| "history": [ | |
| ["human", "Hi, how are you?"], | |
| ["assistant", "I am doing well, how can I help you today?"] | |
| ] | |
| } | |
| headers = { | |
| "Content-Type": "application/json" | |
| } | |
| response = requests.post(url, json=payload, headers=headers) | |
| print(response.json()) | |
| return response.json() | |
| # Rückgabe als Dictionary, um es mit gr.JSON kompatibel zu machen | |
| #return {"body_text": body_text} | |
| except requests.RequestException as e: | |
| return {"error": str(e)} | |
| except Exception as e: | |
| return {"error": str(e)} | |
| # Erstelle die Gradio-Schnittstelle | |
| with gr.Blocks() as demo: | |
| gr.Markdown("# Perplexica WebSearch") | |
| ort_input = gr.Textbox(label="Prompt", placeholder="Name des Vereins", value="Aero Club Bamberg") | |
| links_output = gr.JSON(label="Antwort") | |
| # Button zum Starten der Parsung | |
| button = gr.Button("senden") | |
| # Verbinde den Button mit der Funktion | |
| button.click(fn=parse_links, inputs=ort_input, outputs=links_output) | |
| demo.launch() |