File size: 3,577 Bytes
d532efd b7615ee 3c0e98f b7615ee 4582f15 b7615ee bf1fdc6 b7615ee bf1fdc6 b7615ee bf1fdc6 b7615ee bf1fdc6 b7615ee bf1fdc6 b7615ee bf1fdc6 b7615ee d532efd b7615ee bf1fdc6 b7615ee bf1fdc6 b7615ee bf1fdc6 b7615ee |
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 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 |
import gradio as gr
import requests
import os
from urllib.parse import urlencode, parse_qs
from http.server import BaseHTTPRequestHandler, HTTPServer
import threading
# Your LinkedIn App credentials
CLIENT_ID = "866hp4xfy5zmxz" #os.getenv("LINKEDIN_CLIENT_ID")
CLIENT_SECRET = "WPL_AP1.p8sN30biu6BLlTn7.sudQlw==" #os.getenv("LINKEDIN_CLIENT_SECRET")
REDIRECT_URI = "https://tkgauri.hf.space/callback"
AUTH_URL = "https://www.linkedin.com/oauth/v2/authorization"
TOKEN_URL = "https://www.linkedin.com/oauth/v2/accessToken"
PROFILE_API = "https://api.linkedin.com/v2/me"
EMAIL_API = "https://api.linkedin.com/v2/emailAddress?q=members&projection=(elements*(handle~))"
access_token = "new_token"
# Local web server to handle redirect URI callback
class OAuthCallbackHandler(BaseHTTPRequestHandler):
def do_GET(self):
global access_token
query = parse_qs(self.path.split('?', 1)[-1])
code = query.get('code')[0]
# Exchange code for token
token_data = {
'grant_type': 'authorization_code',
'code': code,
'redirect_uri': REDIRECT_URI,
'client_id': CLIENT_ID,
'client_secret': CLIENT_SECRET
}
response = requests.post(TOKEN_URL, data=token_data)
token_json = response.json()
access_token = token_json.get('access_token')
self.send_response(200)
self.end_headers()
self.wfile.write(b'Authentication successful. Return to the app.')
# Run server in background
def start_oauth_server():
server = HTTPServer(('localhost', 8080), OAuthCallbackHandler)
server.handle_request()
def get_authorization_url():
params = {
'response_type': 'code',
'client_id': CLIENT_ID,
'redirect_uri': REDIRECT_URI,
'scope': 'r_liteprofile r_emailaddress'
}
return f"{AUTH_URL}?{urlencode(params)}"
# Hugging Face summarization
def summarize_profile(name, headline, email):
text = f"{name} is a professional with expertise in: {headline}. Contact: {email}"
response = requests.post(
"https://api-inference.huggingface.co/models/facebook/bart-large-cnn",
headers={"Authorization": f"Bearer {os.getenv('HF_API_KEY')}"},
json={"inputs": text}
)
return response.json()[0]["summary_text"]
def linkedIn_summary_flow():
global access_token
# Trigger OAuth
threading.Thread(target=start_oauth_server).start()
return f"[Click here to authorize LinkedIn]({get_authorization_url()})"
def fetch_and_summarize(_):
headers = {"Authorization": f"Bearer {access_token}"}
profile = requests.get(PROFILE_API, headers=headers).json()
email_data = requests.get(EMAIL_API, headers=headers).json()
name = profile.get("localizedFirstName", "") + " " + profile.get("localizedLastName", "")
headline = profile.get("localizedHeadline", "")
email = email_data['elements'][0]['handle~']['emailAddress']
summary = summarize_profile(name, headline, email)
return f"**Name:** {name}\n**Headline:** {headline}\n**Email:** {email}\n\n**Summary:** {summary}"
with gr.Blocks() as demo:
gr.Markdown("# 🔗 LinkedIn Profile Summarizer")
gr.Markdown("1. Click to authorize via LinkedIn\n2. Fetch & summarize your profile")
btn_auth = gr.Button("🔐 Connect to LinkedIn")
btn_fetch = gr.Button("📄 Summarize My Profile")
output = gr.Textbox(label="Summary", lines=10)
btn_auth.click(linkedIn_summary_flow, outputs=output)
btn_fetch.click(fetch_and_summarize, inputs=[], outputs=output)
demo.launch()
|