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
import groq
import os
import time

options = webdriver.ChromeOptions()
options.add_argument('--headless')
wd = webdriver.Chrome(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="Mixtral-8x7b-32768",
            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. liefer 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):

    try:       
        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(3)
        element = wd.find_element(By.TAG_NAME, "body")
        #texts = [element.text for element in elements]
        time.sleep(1)
        results = update(element.text, message)
        return results

    except WebDriverException as e:
        return "fehler"
    finally:
        if wd:
            wd.quit()
                  
iface = gr.Interface(
    fn=selenium,
    inputs="text",
    outputs=gr.Markdown(),
    title="perplexity.ai",
    description="get answer from perplexity"
)

iface.launch()