Spaces:
Runtime error
Runtime error
Update app.py
Browse files
app.py
CHANGED
|
@@ -7,9 +7,73 @@ import openai
|
|
| 7 |
|
| 8 |
API_KEY = os.getenv('OPENAI_API_KEY')
|
| 9 |
|
|
|
|
| 10 |
if not API_KEY:
|
| 11 |
st.error("API key not found. Please add it to the env.")
|
| 12 |
else:
|
| 13 |
openai.api_key = API_KEY
|
| 14 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 15 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 7 |
|
| 8 |
API_KEY = os.getenv('OPENAI_API_KEY')
|
| 9 |
|
| 10 |
+
# Initialize OpenAI API
|
| 11 |
if not API_KEY:
|
| 12 |
st.error("API key not found. Please add it to the env.")
|
| 13 |
else:
|
| 14 |
openai.api_key = API_KEY
|
| 15 |
|
| 16 |
+
# Function to fetch the web content
|
| 17 |
+
# Define function to fetch webpage content
|
| 18 |
+
def fetch_web_content(url):
|
| 19 |
+
try:
|
| 20 |
+
response = requests.get(url)
|
| 21 |
+
response.raise_for_status()
|
| 22 |
+
soup = BeautifulSoup(response.text, 'html.parser')
|
| 23 |
+
|
| 24 |
+
# Step 1: Find all paragraph tags
|
| 25 |
+
paragraph_elements = soup.find_all('p')
|
| 26 |
+
|
| 27 |
+
# Step 2: Extract text content from each paragraph tag
|
| 28 |
+
paragraphs = [p.get_text() for p in paragraph_elements]
|
| 29 |
+
|
| 30 |
+
return '\n'.join(paragraphs)
|
| 31 |
+
except requests.RequestException as e:
|
| 32 |
+
st.error(f"Error fetching URL: {e}")
|
| 33 |
+
return ""
|
| 34 |
|
| 35 |
+
# summarize the text
|
| 36 |
+
def summarize_text(text):
|
| 37 |
+
if not text:
|
| 38 |
+
return "no content to summarize"
|
| 39 |
+
|
| 40 |
+
try:
|
| 41 |
+
response = openai.Completion.create(
|
| 42 |
+
engine="text-davinci-003",
|
| 43 |
+
prompt=f"Summarize the following web content:\n{text}",
|
| 44 |
+
max_tokens=200,
|
| 45 |
+
temperature=0.5,
|
| 46 |
+
)
|
| 47 |
+
summary = response['choices'][0]['text'].strip()
|
| 48 |
+
return summary
|
| 49 |
+
except Exception as e:
|
| 50 |
+
st.error(f"Error with OpenAI API: {e}")
|
| 51 |
+
return "Error generating summary."
|
| 52 |
+
|
| 53 |
+
# Streamlit App UI
|
| 54 |
+
st.title("Web Content Summarizer")
|
| 55 |
+
st.write("Enter a URL to get a concise summary of the content.")
|
| 56 |
+
|
| 57 |
+
# User input for URL
|
| 58 |
+
url = st.text_input("Enter the URL:")
|
| 59 |
+
|
| 60 |
+
# Submit button
|
| 61 |
+
if st.button("Summarize"):
|
| 62 |
+
if url:
|
| 63 |
+
st.info("Fetching content...")
|
| 64 |
+
web_content = fetch_web_content(url)
|
| 65 |
+
if web_content:
|
| 66 |
+
st.success("Content fetched successfully!")
|
| 67 |
+
st.info("Generating summary...")
|
| 68 |
+
summary = summarize_text(web_content)
|
| 69 |
+
st.subheader("Summary:")
|
| 70 |
+
st.write(summary)
|
| 71 |
+
else:
|
| 72 |
+
st.warning("Please enter a valid URL.")
|
| 73 |
+
|
| 74 |
+
# Run this app with: streamlit run app.py
|
| 75 |
+
|
| 76 |
+
|
| 77 |
+
|
| 78 |
+
|
| 79 |
+
|