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import streamlit as st
import time
import os
from utils.run_agent import execute_agent
from config.configs import AZURE_OPENAI_API_KEY, AZURE_OPENAI_ENDPOINT, AZURE_DEPLOYMENT
from config.generation_config import get_generation_prompt, get_hashtag_suggestions, DEFAULT_SETTINGS
from utils.credential_manager import CredentialManager, format_endpoint_url, mask_api_key
st.set_page_config(
page_title="LinkedIn Post Generator",
page_icon="π",
layout="wide",
initial_sidebar_state="expanded"
)
st.markdown("""
<style>
.main-header {
background: linear-gradient(90deg, #0077B5, #00A0DC);
padding: 2rem;
border-radius: 10px;
color: white;
text-align: center;
margin-bottom: 2rem;
}
.sidebar-header {
background: linear-gradient(135deg, #f8f9fa, #e9ecef);
padding: 1rem;
border-radius: 8px;
margin-bottom: 1rem;
}
.config-section {
background: #f8f9fa;
padding: 1rem;
border-radius: 8px;
margin-bottom: 1rem;
border-left: 4px solid #0077B5;
}
.output-container {
background: #f8f9fa;
padding: 1.5rem;
border-radius: 10px;
border: 1px solid #dee2e6;
margin-top: 1rem;
}
.loading-spinner {
text-align: center;
padding: 2rem;
}
.success-message {
background: #d4edda;
color: #155724;
padding: 1rem;
border-radius: 8px;
border: 1px solid #c3e6cb;
margin: 1rem 0;
}
.error-message {
background: #f8d7da;
color: #721c24;
padding: 1rem;
border-radius: 8px;
border: 1px solid #f5c6cb;
margin: 1rem 0;
}
.credentials-section {
background: #fff3cd;
padding: 1rem;
border-radius: 8px;
border: 1px solid #ffeaa7;
margin-bottom: 1rem;
}
</style>
""", unsafe_allow_html=True)
# Initialize session state for credentials
if 'azure_api_key' not in st.session_state:
st.session_state.azure_api_key = ""
if 'azure_endpoint' not in st.session_state:
st.session_state.azure_endpoint = ""
if 'azure_deployment' not in st.session_state:
st.session_state.azure_deployment = ""
if 'azure_api_version' not in st.session_state:
st.session_state.azure_api_version = "2024-02-01"
with st.sidebar:
st.title("βοΈ Configuration")
st.subheader("π Azure OpenAI Credentials")
st.info("π‘ Enter your Azure OpenAI credentials below:")
api_key = st.text_input(
"Azure OpenAI API Key",
value=st.session_state.azure_api_key,
type="password",
help="Your Azure OpenAI API key"
)
endpoint = st.text_input(
"Azure OpenAI Endpoint",
value=st.session_state.azure_endpoint,
placeholder="https://your-resource.openai.azure.com/",
help="Your Azure OpenAI endpoint URL"
)
deployment = st.text_input(
"Deployment Name",
value=st.session_state.azure_deployment,
placeholder="gpt-35-turbo",
help="Name of your deployed model"
)
api_version = st.text_input(
"API Version",
value=st.session_state.azure_api_version,
placeholder="2024-02-01",
help="Azure OpenAI API version"
)
if st.button("πΎ Save Credentials", use_container_width=True):
credentials = {
'api_key': api_key,
'endpoint': format_endpoint_url(endpoint) if endpoint else '',
'deployment': deployment,
'api_version': api_version
}
is_valid, message = CredentialManager.validate_credentials(credentials)
if is_valid:
CredentialManager.save_credentials_to_session(
credentials['api_key'],
credentials['endpoint'],
credentials['deployment'],
credentials['api_version']
)
st.success("β
Credentials saved successfully!")
st.rerun()
else:
st.error(f"β {message}")
if st.button("ποΈ Clear Credentials", use_container_width=True):
CredentialManager.clear_session_credentials()
st.success("β
Credentials cleared!")
st.rerun()
st.markdown('</div>', unsafe_allow_html=True)
st.subheader("π API Status")
current_credentials = CredentialManager.get_credentials_from_session()
if current_credentials['api_key']:
masked_key = mask_api_key(current_credentials['api_key'])
st.success(f"β
API Key: {masked_key}")
else:
st.error("β API Key not found")
if current_credentials['endpoint']:
st.success(f"β
Endpoint: {current_credentials['endpoint']}")
else:
st.warning("β οΈ Endpoint not configured")
if current_credentials['deployment']:
st.success(f"β
Deployment: {current_credentials['deployment']}")
else:
st.warning("β οΈ Deployment not configured")
if all(current_credentials.values()):
if st.button("π§ͺ Test Connection", use_container_width=True):
with st.spinner("Testing Azure OpenAI connection..."):
try:
CredentialManager.set_environment_variables(current_credentials)
test_output = execute_agent("Test connection")
st.success("β
Connection successful! Azure OpenAI is working.")
except Exception as e:
st.error(f"β Connection failed: {str(e)}")
st.subheader("π― Generation Settings")
post_length = st.selectbox(
"Post Length",
["Short (100-200 words)", "Medium (200-400 words)", "Long (400-600 words)"],
index=1
)
tone = st.selectbox(
"Tone",
["Professional", "Casual", "Enthusiastic", "Educational", "Inspirational"],
index=0
)
include_hashtags = st.checkbox("Include Hashtags", value=True)
include_call_to_action = st.checkbox("Include Call to Action", value=True)
st.subheader("βΉοΈ About")
st.write("**LinkedIn Post Generator**")
st.write("Powered by LangGraph and Azure OpenAI")
st.write("Version: 1.0.0")
st.title("π LinkedIn Post Generator")
st.markdown("Transform your ideas into engaging LinkedIn posts using AI")
col1, col2 = st.columns([2, 1])
with col1:
st.subheader("π― What would you like to write about?")
user_input = st.text_area(
"Enter your topic, idea, or subject matter:",
value=st.session_state.get("user_input", ""),
placeholder="e.g., 'The future of artificial intelligence in healthcare' or 'Tips for remote team collaboration'",
height=100,
help="Be specific about your topic to get better results"
)
if user_input and include_hashtags:
suggested_hashtags = get_hashtag_suggestions(user_input)
st.info(f"π‘ **Suggested hashtags for '{user_input}':**")
hashtag_cols = st.columns(3)
for i, hashtag in enumerate(suggested_hashtags[:3]):
with hashtag_cols[i]:
st.write(f"β’ {hashtag}")
with st.expander("π Additional Context (Optional)"):
context = st.text_area(
"Add any specific details, target audience, or context:",
placeholder="e.g., 'Target audience: Tech professionals, Focus on practical applications'",
height=80
)
col1_btn, col2_btn = st.columns([3, 1])
with col1_btn:
generate_clicked = st.button("π Generate LinkedIn Post", type="primary", use_container_width=True)
with col2_btn:
clear_clicked = st.button("ποΈ Clear", use_container_width=True)
if clear_clicked:
st.session_state.user_input = ""
st.session_state.example_topic = ""
st.rerun()
if generate_clicked:
if user_input:
current_credentials = CredentialManager.get_credentials_from_session()
if not all(current_credentials.values()):
st.error("β Please configure your Azure OpenAI credentials in the sidebar first.")
else:
CredentialManager.set_environment_variables(current_credentials)
with st.spinner("π€ AI is crafting your perfect LinkedIn post..."):
try:
settings = {
"post_length": post_length,
"tone": tone,
"include_hashtags": include_hashtags,
"include_call_to_action": include_call_to_action
}
# Generate formatted prompt using the configuration
full_query = get_generation_prompt(user_input, context, settings)
# Execute the agent
output = execute_agent(full_query)
# Update session state
if 'generated_posts' not in st.session_state:
st.session_state.generated_posts = 0
st.session_state.generated_posts += 1
st.success("β
Your LinkedIn post has been generated successfully!")
st.subheader("π Generated LinkedIn Post")
st.markdown("---")
st.write(output)
st.markdown("---")
if st.button("π Copy to Clipboard", use_container_width=True):
st.write("π Post copied to clipboard!")
except Exception as e:
st.error(f"β An error occurred: {str(e)}")
else:
st.warning("β οΈ Please enter a topic to generate a post.")
with col2:
st.subheader("π‘ Tips for Better Posts")
tips = [
"π― Be specific about your topic",
"π₯ Consider your target audience",
"π Include relevant statistics if applicable",
"π¬ Ask engaging questions",
"π Reference current trends or news",
"π Keep paragraphs short and readable",
"π¨ Use emojis sparingly but effectively"
]
for tip in tips:
st.write(tip)
st.markdown("---")
st.subheader("π Post Analytics")
if 'generated_posts' not in st.session_state:
st.session_state.generated_posts = 0
st.metric("Posts Generated", st.session_state.generated_posts)
st.subheader("π― Example Topics")
example_topics = [
"AI in healthcare",
"Remote work productivity",
"Digital transformation",
"Leadership skills",
"Innovation in business"
]
for topic in example_topics:
if st.button(topic, key=f"example_{topic}"):
st.session_state.example_topic = topic
st.session_state.user_input = topic
st.rerun()
st.markdown("---")
st.markdown(
"""
<div style='text-align: center; color: #666; padding: 1rem;'>
<p>Made with β€οΈ using Streamlit, LangGraph, and Azure OpenAI</p>
<p>For questions or support, please check the documentation</p>
</div>
""",
unsafe_allow_html=True
) |