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Update app.py
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app.py
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@@ -8,12 +8,6 @@ import random
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from huggingface_hub import Repository, HfApi, HfFolder
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import openai
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api = HfApi()
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token = os.getenv("token")
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tokenread = os.getenv("tokenread")
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localdir = "HeadlinePrediction"
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repo = Repository(local_dir=localdir, clone_from="https://huggingface.co/spaces/Add1E/HeadlinePrediction", token=token)
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def add_to_csv(var1, var2, var3, var4, var5, var6, var7, filename):
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# Öffnen der CSV-Datei im Anhängemodus
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@@ -59,17 +53,6 @@ def send_to_chatgpt(api_key, prompt_file, transcript):
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return str(e)
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st.title("Webseiten-Scraper")
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# Beispiel für die Verwendung der Funktiona
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api_key = os.getenv("api_key") # Setzen Sie hier Ihren OpenAI-API-Schlüssel ein
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base_prompt = "txt.txt"
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csv_name = "results.csv"
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df = pd.read_csv(csv_name, encoding='utf-8')
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df.columns = [col.replace(' ', '_') for col in df.columns]
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# Eingabefelder für URL und p_class
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url = st.text_input("URL eingeben", "https://www.beispielwebsite.com")
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if st.button("Scrape"):
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if url:
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scraped_html = scrape_website(url)
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@@ -96,11 +79,27 @@ if st.button("Scrape"):
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st.error("Bitte geben Sie eine gültige URL ein.")
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if st.sidebar.button("Upload Data"):
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repo.git_add(os.path.abspath(f'{localdir}/results.csv'))
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repo.git_commit("Add new headlines.csv")
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repo.git_push()
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auswahl = st.sidebar.selectbox("Wählen Sie eine Prediction:", ["None", "Prediction 1", "Prediction 2", "Prediction 3", "Prediction 4", "Prediction 5"])
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random_numbers = set()
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from huggingface_hub import Repository, HfApi, HfFolder
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import openai
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def add_to_csv(var1, var2, var3, var4, var5, var6, var7, filename):
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# Öffnen der CSV-Datei im Anhängemodus
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return str(e)
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if st.button("Scrape"):
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if url:
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scraped_html = scrape_website(url)
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st.error("Bitte geben Sie eine gültige URL ein.")
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api = HfApi()
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token = os.getenv("token")
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tokenread = os.getenv("tokenread")
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localdir = "HeadlinePrediction"
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repo = Repository(local_dir=localdir, clone_from="https://huggingface.co/spaces/Add1E/HeadlinePrediction", token=token)
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# Beispiel für die Verwendung der Funktiona
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api_key = os.getenv("api_key") # Setzen Sie hier Ihren OpenAI-API-Schlüssel ein
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st.title("Webseiten-Scraper")
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base_prompt = "txt.txt"
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csv_name = "results.csv"
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df = pd.read_csv(csv_name, encoding='utf-8')
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df.columns = [col.replace(' ', '_') for col in df.columns]
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# Eingabefelder für URL und p_class
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url = st.text_input("URL eingeben", "https://www.beispielwebsite.com")
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if st.sidebar.button("Upload Data"):
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repo.git_add(os.path.abspath(f'{localdir}/results.csv'))
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repo.git_commit("Add new headlines.csv")
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repo.git_push()
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auswahl = st.sidebar.selectbox("Wählen Sie eine Prediction:", ["None", "Prediction 1", "Prediction 2", "Prediction 3", "Prediction 4", "Prediction 5"])
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random_numbers = set()
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