app.py

import gradio as gr
from selenium import webdriver
from selenium.common.exceptions import WebDriverException
from selenium.webdriver.common.by import By
from gradio_client import Client
from selenium.webdriver.support.wait import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.chrome.options import Options
from selenium.webdriver.common.keys import Keys
#from selenium.webdriver.firefox.options import Options 
import groq
import os
import time
import requests

options = webdriver.ChromeOptions()
options.add_argument('--headless')
wd = webdriver.Chrome(options=options)
#wd = webdriver.Firefox(options=options)
#get your api-key @groq.com. its free!
api_key = os.getenv('groq')
client = groq.Client(api_key=api_key)


# Use Llama 3 70B powered by Groq for answering
def update(prompt, ort):   
    try:        
        completion = client.chat.completions.create(
            model="llama3-70b-8192",
            messages=[
                {"role": "system", "content": "You are a helpful assistant."},
                {"role": "user", "content": f"gefragt sind die nächsten 3 zugverbindungen von bad kissingen nach {ort} du findest die antwort im kontext. liefere als antwort ein 2 spaltige tabelle. linke spalte: abfahrtszeit, fahrtdauer, ankunftszeit.rechte spalte: abfahrtsort,leer,zielort. formatiere die tabelle in markdown\n kontext: \n {prompt} \n antworte immer auf deutsch!"}
            ],
        )       
        return completion.choices[0].message.content
    except Exception as e:
        return f"Error in response generation: {str(e)}"

def selenium(message):
    #url = "https://chat.deepseek.com/"
    #url = 'https://www.spiegel.de'
    #url = f"https://duckduckgo.com/?q=impressum {message}" 
    url = f"https://search.brave.com/search?q=impressum {message}" 
    #<ol class="AmbQnf">

    wd.get(url)
    time.sleep(3)
    element = wd.find_element(By.TAG_NAME, "body")
    #time.sleep(3)
    #return element.text     
    try:        
        completion = client.chat.completions.create(
            model="llama3-8b-8192",
            messages=[
                {"role": "system", "content": "You are a helpful assistant."},
                {"role": "user", "content": f"return json object with keys name and email. \n  name = {message}\n  value for email can be found here: {element.text} \n return json object only, no additional text or comments \n"}
            ],
        )       
        return completion.choices[0].message.content
    except Exception as e:
        return f"Error in response generation: {str(e)}"
   

    #text_input = wd.find_element(By.XPATH, '/html/body/div[1]/div/div[2]/div[2]/div/div/div[2]/div[2]/div/div/div[1]/textarea')
    
    wait = WebDriverWait(wd, 25)  # Korrektur der Instanziierung
    element = wait.until(EC.visibility_of_element_located((By.ID, "chat-input")))  # Korrektur der Verwendung von EC 
    #element = WebDriverWait(wd, 25).until(
        #EC.presence_of_element_located((By.ID, 'chat-input'))
    #)
    time.sleep(5)
    #textarea = wd.find_element(By.XPATH, "/html/body/div/main/div[3]/div[2]/div/div[2]/div/div/div[3]/div[2]/div[1]/div/div/div/div/textarea")   
    #textarea = wd.find_element(By.XPATH, "/html/body/div[1]/div[2]/main/div[1]/div[2]/div/div[1]/div/form/div/div[2]/div/div/div[1]/div[1]/div/textarea") 
    element.send_keys(f"{message}")
    
    element.send_keys(Keys.RETURN)
    time.sleep(8)
    elements = wd.find_elements(By.TAG_NAME, "p")
    time.sleep(3)
    out=""
    for e in elements:
        out +=e.text
    #return element.text
    return out

    
    texts=""
    url = f"https://www.google.com/search?q=zugverbindung+bad+kissingen+{message}"
    #url = 'https://www.spiegel.de'
    #<ol class="AmbQnf">
    wd.get(url)
    wd.implicitly_wait(5)
    element = wd.find_element(By.TAG_NAME, "body")              
    #wd.quit()
    time.sleep(5)
    #return element.text
    results = update(element.text, message)
    results=gr.Markdown()
    return results
          
iface = gr.Interface(
    fn=selenium,
    inputs="text",
    outputs="text",
    #title="perplexity.ai",
    #description="Websuche"
)

iface.launch()