ALwrity Version 0.5.0 (Fastapi + React )
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ajaysi
137
lib/content_calendar/ui/ai_suggestions_modal.py
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137
lib/content_calendar/ui/ai_suggestions_modal.py
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import streamlit as st
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def render_ai_suggestions_modal(generate_ai_suggestions, on_create_brief, on_schedule, on_refine, on_customize):
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st.subheader("AI Content Suggestions")
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default_type = st.session_state.get('ai_modal_type', "Blog Post")
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default_topic = st.session_state.get('ai_modal_topic', "")
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default_platform = st.session_state.get('ai_modal_platform', "Blog")
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content_types = {
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"Blog Post": "Long-form content for in-depth topics",
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"Social Media Post": "Short, engaging content for social platforms",
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"Video": "Visual content with script and storyboard",
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"Newsletter": "Email content for subscriber engagement"
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}
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content_type = st.selectbox(
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"Content Type",
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list(content_types.keys()),
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format_func=lambda x: f"{x} - {content_types[x]}",
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key="modal_suggestion_type",
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index=list(content_types.keys()).index(default_type) if default_type in content_types else 0
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)
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topic = st.text_input("Enter topic or keyword", value=default_topic, key="modal_suggestion_topic")
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with st.expander("Advanced Options"):
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audience = st.multiselect(
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"Target Audience",
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["Professionals", "Students", "Entrepreneurs", "General Public", "Industry Experts"],
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default=["Professionals"]
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)
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goals = st.multiselect(
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"Content Goals",
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["Increase Engagement", "Generate Leads", "Build Authority", "Drive Traffic", "Educate"],
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default=["Increase Engagement"]
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)
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tone = st.select_slider(
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"Content Tone",
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options=["Professional", "Casual", "Educational", "Entertaining", "Persuasive"],
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value="Professional"
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)
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length = st.radio(
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"Content Length",
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["Short", "Medium", "Long"],
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horizontal=True
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)
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st.subheader("AI Model Settings")
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model_settings = {
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"Creativity Level": st.slider("Creativity Level", 0.0, 1.0, 0.7, 0.1),
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"Formality Level": st.slider("Formality Level", 0.0, 1.0, 0.5, 0.1),
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"Technical Depth": st.slider("Technical Depth", 0.0, 1.0, 0.5, 0.1)
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}
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st.subheader("Content Style Preferences")
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style_preferences = {
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"Use Examples": st.checkbox("Include Real-world Examples", True),
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"Use Statistics": st.checkbox("Include Statistics and Data", True),
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"Use Quotes": st.checkbox("Include Expert Quotes", False),
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"Use Case Studies": st.checkbox("Include Case Studies", False)
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}
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st.subheader("SEO Preferences")
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seo_preferences = {
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"Keyword Density": st.slider("Keyword Density (%)", 1, 5, 2),
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"Internal Linking": st.checkbox("Suggest Internal Links", True),
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"External Linking": st.checkbox("Suggest External Links", True),
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"Meta Description": st.checkbox("Generate Meta Description", True)
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}
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st.subheader("Platform-specific Settings")
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platform_settings = {
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"Hashtag Usage": st.checkbox("Suggest Hashtags", True),
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"Image Suggestions": st.checkbox("Suggest Images", True),
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"Video Suggestions": st.checkbox("Suggest Videos", False),
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"Interactive Elements": st.checkbox("Suggest Interactive Elements", False)
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}
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if st.button("Generate Suggestions", type="primary", key="modal_generate_btn"):
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with st.spinner("Generating suggestions..."):
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suggestions = generate_ai_suggestions(
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content_type,
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topic,
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audience,
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goals,
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tone,
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length,
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model_settings,
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style_preferences,
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seo_preferences,
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platform_settings
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)
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if suggestions:
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suggestion_tabs = st.tabs([f"Suggestion {i+1}" for i in range(len(suggestions))])
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for i, (tab, suggestion) in enumerate(zip(suggestion_tabs, suggestions)):
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with tab:
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col1, col2 = st.columns([2, 1])
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with col1:
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st.subheader(suggestion['title'])
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st.write(f"**Type:** {suggestion['type']}")
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st.write(f"**Platform:** {suggestion['platform']}")
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st.write(f"**Target Audience:** {', '.join(suggestion['audience'])}")
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st.write(f"**Estimated Impact:** {suggestion['impact']}")
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with st.expander("Content Preview"):
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st.write(suggestion.get('preview', 'Preview not available'))
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if suggestion.get('style_elements'):
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st.write("**Style Elements:**")
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for element in suggestion['style_elements']:
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st.write(f"- {element}")
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if suggestion.get('seo_elements'):
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st.write("**SEO Elements:**")
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for element in suggestion['seo_elements']:
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st.write(f"- {element}")
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with col2:
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st.subheader("Performance Metrics")
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metrics = {
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"Engagement Score": suggestion.get('engagement_score', '85%'),
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"Reach Potential": suggestion.get('reach', 'High'),
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"Conversion Rate": suggestion.get('conversion', '3.5%'),
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"SEO Impact": suggestion.get('seo_impact', 'Strong')
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}
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for metric, value in metrics.items():
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st.metric(metric, value)
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st.subheader("Actions")
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if st.button("Create Brief", key=f"modal_brief_{i}"):
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on_create_brief(suggestion)
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if st.button("Schedule", key=f"modal_schedule_{i}"):
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on_schedule(suggestion)
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if st.button("Refine", key=f"modal_refine_{i}"):
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on_refine(suggestion)
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if st.button("Customize", key=f"modal_customize_{i}"):
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on_customize(suggestion)
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with st.expander("Additional Options"):
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st.write("**Platform Optimizations**")
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for platform in suggestion.get('platform_optimizations', []):
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st.write(f"- {platform}")
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st.write("**Content Variations**")
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for variation in suggestion.get('variations', []):
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st.write(f"- {variation}")
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st.write("**SEO Recommendations**")
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for seo in suggestion.get('seo_recommendations', []):
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st.write(f"- {seo}")
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if suggestion.get('media_suggestions'):
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st.write("**Media Suggestions**")
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for media in suggestion['media_suggestions']:
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st.write(f"- {media}")
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