app.py

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

secreturl = os.environ.get('secret_url')

def parse_links(prompt):
#anfrage ='fill in the missing contact information. do not reference the json object. do not use html tags inside the json object. it must be valid json. do not return explanaitons or any other text. thanks for your efforts:)'
    Name=prompt
    anfrage ="""
    [role:system, content: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] 
    [role:user, content: fill in the missing contact information. do not reference the json object. do not use html tags inside the json object. it must be valid json. do not return explanaitons or any other text. only returm a valid json.object
    {
      "Name": "",
      "Email": "",
      "Website": "",
      "Phone": ""
    }
    """
    try:
        #url = "http://specialist-it.de:3001/api/search"
        url = "secreturl"
        payload = {
            "chatModel": {
                "provider": "groq",
                "model": "llama3-70b-8192"
            },
            "embeddingModel": {
                "provider": "local",
                "model": "xenova-bge-small-en-v1.5"
            },
            "optimizationMode": "balanced",
            "focusMode": "webSearch",
            "query": f"Name={prompt}\n{anfrage}. outputformat=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())
        # Parse the JSON response
        #data = response.json()
        # Extract the message
        #ergebnis = data.get('message')
        ergebnis = response.json().get('message')
        #ergebnis=gr.Markdown()
        return ergebnis
        # Split the response to get the JSON part only 
        json_part = ergebnis.split('}\n')[0] + '}' 
        # Load the JSON part to validate it's correctly formatted 
        try: 
            data = json.loads(json_part) 
            print(json.dumps(data, indent=2)) 
            return json.dumps(data, indent=2)
        except json.JSONDecodeError as e: 
            print(f"Invalid JSON: {e}")
        
        #return response.json().get('message')
        # 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="prompt", value="Aero Club Bamberg e.V.")
    links_output = gr.Textbox(label="Antwort")
    with gr.Row():
        clearbutton = gr.Button("clear")  
        # 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)
    clearbutton.click(inputs=[], outputs=[])

demo.launch()