app.py

import gradio as gr
import requests
from urllib.parse import urljoin
from datetime import datetime
from IPython.display import display
from IPython.display import Markdown
import json
import os

jetzt = datetime.now()
zeitstempel_str = jetzt.strftime("%Y-%m-%d")
secreturl = os.environ.get('secret_url')
custom_css = """
#md {
    height: 450px;  
    font-size: 35px;
    background: black;
    padding: 20px;
    padding-top: 40px;
    color: white;
    border: 1 px solid #383838;
}
"""

def question(prompt, optimization_mode):

    try:
        # url to the Perplexica backend (http://url.com:3001/api search/)
        url = secreturl
        
        payload = {
            "chatModel": {
                "provider": "groq",
                "model": "llama3-70b-8192"
            },
            "embeddingModel": {
                "provider": "gemini",
                "model": "text-embedding-004"
            },
            "optimizationMode": optimization_mode,
            "focusMode": "webSearch",
            "query": f"antworte kurz und knapp. {prompt}. antworte auf deutsch. formatiere deine antworten ansprechend und strukturiert in markdown\nhinweis: heute ist der {zeitstempel_str}\n",
            "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)
        ergebnis = response.json().get('message')
        #get rid of some disturbing numbers
        for i in range(1, 19):
            ergebnis = ergebnis.replace(f"[{i}]", " ")
        #this modul is sooooo cool:)    
        display(Markdown(ergebnis))
        return ergebnis
    
    except requests.RequestException as e:
        return {"error": str(e)}
    except Exception as e:
        return {"error": str(e)}

def clear():
    return "", "speed"

# Erstelle die Gradio-Schnittstelle
with gr.Blocks(css=custom_css) as demo:
    links_output = gr.Markdown(label="Antwort", elem_id="md", value="# Perplexica Websearch")  
    ort_input = gr.Textbox(label="Frage", placeholder="ask anything...", scale=3, value="")   
    optimization_mode_input = gr.Dropdown(choices=["speed", "balanced"], label="Optimization Mode", value="balanced")
    ort_input.submit(fn=question, inputs=[ort_input, optimization_mode_input], outputs=links_output)
    examples = gr.Examples([["Erstelle eine Anleitung. Apache als reverse proxy installieren unter ubuntu 24.x"], ["Kontaktdaten Bürgermeister bad kissingen"], ["Kontaktdaten lachfalten bad kissingen. output format:json"]], ort_input)

demo.launch()