app.py

import gradio as gr
import requests
from bs4 import BeautifulSoup
from urllib.parse import urljoin
from datetime import datetime
import json
import os

jetzt = datetime.now()
zeitstempel_str = jetzt.strftime("%Y-%m-%d")
secreturl = os.environ.get('secret_url')
custom_css = """
#md {
    height: 500px;  
    font-size: 30px;
    background: #121212;
    padding: 20px;
    padding-top: 40px;
    color: white;
    border: 1 px solid #383838;
}
.senden {
    width: 300px; 
    float: right;
    background:purple;
}
.clear-button {
    float: right;
    #margin-top: 10px;
    background:purple;
}
"""

def question(prompt, optimization_mode):
    anfrage = """
    instruction: you are a json expert and your job is extracting information from text, generating valid json and return a json object only. do not return any text. halte dich an das vorgegebene json schema.
    prompt: fill in the missing contact information. do not reference the json object. do not use html tags inside the json object. do not return explanaitons or any other text. return a valid json object only.
    {
      "Name": "",
      "Email": "",
      "Website": "",
      "Phone": ""
    }
    """
    try:
        url = "http://185.248.140.121:3001"
        
        payload = {
            "chatModel": {
                "provider": "gemini",
                "model": "gemini-1.5-flash"
            },
            "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)
        try:
            response.raise_for_status()  # Überprüfen Sie, ob der Statuscode ein Fehler ist
            result = response.json()  # Versuchen Sie, die Antwort als JSON zu parsen
        except ValueError:
            return {"error": "Die Antwort konnte nicht als JSON geparst werden."}
        except requests.RequestException as e:
            return {"error": str(e)}

        print("Serverantwort:", response.text)  # Protokollieren Sie die rohe Antwort
        return result
        
        response = requests.post(url, json=payload, headers=headers)
        #ergebnis = response.json().get('message')
        result = response.json()
        return result
        for i in range(1, 19):
            ergebnis = ergebnis.replace(f"[{i}]", " ")
            
        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, theme=gr.themes.Default(font=[gr.themes.GoogleFont("Inconsolata"), "Arial", "sans-serif"])) as demo:
    #gr.Markdown("#  <br>")
    links_output = gr.Textbox(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="speed")
    button = gr.Button("senden", elem_classes="senden")   
    button.click(fn=question, inputs=[ort_input, optimization_mode_input], outputs=links_output)
    #clear_button = gr.Button("clear", elem_classes="clear-button")  
    #clear_button.click(fn=clear, inputs=[], outputs=[ort_input, optimization_mode_input])

demo.launch()