Spaces:
Running
Running
File size: 2,760 Bytes
dee81af 18fb2d0 dee81af 18fb2d0 3ff5449 4d9a7ab 18fb2d0 3ff5449 18fb2d0 3ff5449 e6c03c9 1ef0484 7514d3f 4ba8de1 7514d3f 1ea7fc9 1ef0484 e6c03c9 dee81af e6c03c9 dee81af e6c03c9 dee81af e6c03c9 dee81af e6c03c9 dee81af e6c03c9 1d04a42 e6c03c9 fc70bd6 1d04a42 8c0e2df 1d04a42 c9f3fd9 e6c03c9 8c0e2df ef7e473 3ff5449 e6c03c9 fc70bd6 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 |
import streamlit as st
from transformers import pipeline
import requests
from bs4 import BeautifulSoup
# Initialize a text generation pipeline
generator = pipeline('text-generation', model='dbmdz/german-gpt2')
# Define a function to fetch trending news related to a specific niche
def fetch_trending_news(niche):
url = f"https://www.google.com/search?q={niche}+news&tbs=qdr:d"
headers = {
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.3"}
response = requests.get(url, headers=headers)
soup = BeautifulSoup(response.content, "html.parser")
news_items = soup.find_all("div", class_="BNeawe vvjwJb AP7Wnd")
trending_news = [item.text for item in news_items[:5]] # Extract the top 5 news items
return trending_news
# Define the pages
def page_trending_niche():
st.title("What is trending in my niche?")
st.image('Robot.png', use_column_width=True)
niche = st.text_input('Enter your niche', 'German clinics')
st.write(f"Trending news in {niche}:")
trending_news = fetch_trending_news(niche)
for idx, news_item in enumerate(trending_news, start=1):
st.write(f"{idx}. {news_item}")
# Define the pages
def page_social_media_generator():
# Using st.columns to create a two-column layout
col1, col2 = st.columns([3, 1])
with col1:
st.title("German Medical Content Manager")
with col2:
st.image('Content_Creation_Pic.png', use_column_width=True)
input_topic = st.text_input('Enter a medical topic', 'Type 1 Diabetes')
st.write(f"Creating social media content for: {input_topic}")
def generate_content(topic):
generated_text = generator(f"Letzte Nachrichten über {topic}:", max_length=50, num_return_sequences=1)
return generated_text[0]['generated_text']
if st.button('Generate Social Media Post'):
with st.spinner('Generating...'):
post_content = generate_content(input_topic)
st.success('Generated Content:')
st.write(post_content)
st.write('Generated social media posts will appear here after clicking the "Generate" button.')
def page_test():
st.title('Test Page')
st.write('This is a test page with a test name.')
# Setup the sidebar with page selection
st.sidebar.title("Anne's Current Projects :star2:")
page = st.sidebar.selectbox(
'What project do you like to see first?',
('trending_niche', 'Social Media Content Generator', 'Test Page'))
# Display the selected page
if page == 'trending_niche':
page_trending_niche()
elif page == 'Social Media Content Generator':
page_social_media_generator()
elif page == 'Test Page':
page_test()
|