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Update app.py
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app.py
CHANGED
@@ -3,6 +3,7 @@ import requests
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import os
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import json
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import google.generativeai as genai
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# Load environment variables
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genai.configure(api_key=os.environ["geminiapikey"])
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@@ -19,6 +20,31 @@ custom_css = """
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}
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"""
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def predict(prompt):
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# Create the model
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generation_config = {
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@@ -55,7 +81,7 @@ with gr.Blocks(css=custom_css) as demo:
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button = gr.Button("Senden")
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# Connect the button to the function
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button.click(fn=
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# Launch the Gradio application
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demo.launch()
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import os
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import json
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import google.generativeai as genai
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from bs4 import BeautifulSoup
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# Load environment variables
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genai.configure(api_key=os.environ["geminiapikey"])
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}
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"""
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def websearch(prompt):
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url = f"https://www.google.com/search?q={prompt}"
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headers = {
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"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36"
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}
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try:
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response = requests.get(url, headers=headers)
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response.raise_for_status() # Wirft eine Exception für Fehlercodes
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except requests.exceptions.RequestException as e:
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print(f"Fehler beim Abrufen der Google-Seite: {e}")
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return None
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soup = BeautifulSoup(response.content, 'html.parser')
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first_div = soup.find('div', class_='MjjYud')
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if first_div:
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return first_div.text.strip()
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else:
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print("Kein div mit der Klasse 'MjjYud' gefunden.")
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return None
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def predict(prompt):
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# Create the model
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generation_config = {
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button = gr.Button("Senden")
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# Connect the button to the function
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button.click(fn=websearch, inputs=ort_input, outputs=details_output)
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# Launch the Gradio application
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demo.launch()
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