AI Image and Audio Generation Improvements.
AI Video Generation Pre-Flight Checklist. Cost Estimate Improvements.
This commit is contained in:
ajaysi
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"""
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YouTube Description Generator Module
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This module provides functionality for generating YouTube video descriptions.
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"""
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import streamlit as st
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import time
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from lib.gpt_providers.text_generation.main_text_generation import llm_text_gen
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def calculate_keyword_density(text, keywords):
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"""Calculate the density of keywords in the text."""
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if not text or not keywords:
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return 0
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text = text.lower()
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keywords = [k.lower() for k in keywords]
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total_words = len(text.split())
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keyword_count = sum(text.count(k) for k in keywords)
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return (keyword_count / total_words) * 100 if total_words > 0 else 0
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def calculate_seo_score(text, keywords):
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"""Calculate the SEO score of the description."""
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score = 0
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# Text length (optimal: 250-300 words)
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word_count = len(text.split())
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if 250 <= word_count <= 300:
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score += 3
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elif 200 <= word_count <= 350:
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score += 2
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elif 150 <= word_count <= 400:
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score += 1
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# Keyword presence
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text_lower = text.lower()
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keywords_lower = [k.lower() for k in keywords]
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keyword_count = sum(text_lower.count(k) for k in keywords_lower)
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if keyword_count >= 3:
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score += 3
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elif keyword_count >= 2:
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score += 2
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elif keyword_count >= 1:
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score += 1
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# Call to action phrases
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cta_phrases = ["subscribe", "like", "comment", "share", "follow", "check out", "visit", "learn more"]
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cta_count = sum(text_lower.count(phrase) for phrase in cta_phrases)
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if cta_count >= 2:
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score += 2
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elif cta_count >= 1:
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score += 1
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# Hashtags
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hashtag_count = text.count("#")
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if 3 <= hashtag_count <= 5:
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score += 2
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elif 1 <= hashtag_count <= 8:
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score += 1
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# Links
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link_count = text.count("http")
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if 1 <= link_count <= 3:
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score += 2
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elif link_count > 3:
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score += 1
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return min(score, 10) # Cap at 10
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def generate_youtube_description(target_audience, main_points, tone_style, use_case, primary_keywords,
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secondary_keywords, language, seo_goals, include_timestamps=False,
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include_hashtags=False, include_social_handles=False):
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"""Generate a YouTube description based on the provided parameters."""
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# Create a custom system prompt for YouTube description generation
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system_prompt = """You are a YouTube description expert specializing in creating engaging, SEO-optimized video descriptions.
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Your task is to generate YouTube video descriptions based on the provided information.
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Focus ONLY on creating descriptions that are optimized for YouTube, with proper formatting, keywords, and calls to action.
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Return ONLY the description text, without any additional commentary or explanations."""
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# Build the prompt
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prompt = f"""
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**Instructions:**
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Please generate a YouTube description for a video about **{main_points}** based on the following information:
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**Target Audience:** {target_audience}
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**Tone and Style:** {tone_style}
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**Use Case:** {use_case}
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**Language:** {language}
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**Primary Keywords:** {primary_keywords}
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**Secondary Keywords:** {secondary_keywords}
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**SEO Goals:** {seo_goals}
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**Additional Elements:**
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{"- Include timestamps for key sections." if include_timestamps else ""}
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{"- Include relevant hashtags." if include_hashtags else ""}
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{"- Include social media handles." if include_social_handles else ""}
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**Specific Instructions:**
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* Keep the description informative and engaging.
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* Use a conversational tone that matches the target audience.
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* Include relevant keywords naturally.
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* Add a call to action.
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* Keep the length between 250-300 words for optimal SEO.
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"""
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try:
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response = llm_text_gen(prompt, system_prompt=system_prompt)
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return response
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except Exception as err:
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st.error(f"Error: Failed to get response from LLM: {err}")
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return None
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def write_yt_description():
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"""Create a user interface for YouTube Description Generator."""
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st.write("Generate SEO-optimized YouTube video descriptions that drive engagement.")
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# Initialize session state for generated description if it doesn't exist
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if "generated_description" not in st.session_state:
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st.session_state.generated_description = None
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# Create tabs for different sections
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tab1, tab2, tab3 = st.tabs(["Basic Info", "SEO Optimization", "Advanced Options"])
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with tab1:
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# Basic information inputs
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main_points = st.text_area("Main Points/Keywords (comma-separated)",
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placeholder="e.g., cooking tips, healthy recipes, quick meals")
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# Create columns for the other inputs
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col1, col2, col3, col4 = st.columns(4)
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with col1:
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tone_style = st.selectbox("Tone/Style",
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["Professional", "Casual", "Humorous", "Educational", "Entertaining", "Inspirational"])
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with col2:
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target_audience = st.text_input("Target Audience",
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placeholder="e.g., beginners, professionals, parents")
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with col3:
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use_case = st.selectbox("Use Case",
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["How-to/Tutorial", "Vlog", "Review", "Educational", "Entertainment", "News"])
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with col4:
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language = st.selectbox("Language", ["English", "Spanish", "French", "German", "Italian", "Portuguese"])
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with tab2:
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# SEO optimization inputs
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primary_keywords = st.text_input("Primary Keywords (comma-separated)",
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placeholder="e.g., cooking, recipes, healthy food")
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secondary_keywords = st.text_input("Secondary Keywords (comma-separated)",
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placeholder="e.g., quick meals, budget cooking")
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seo_goals = st.multiselect("SEO Goals",
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["Increase Views", "Drive Engagement", "Build Subscribers", "Promote Products/Services"])
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with tab3:
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# Advanced options
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st.subheader("Additional Elements")
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include_timestamps = st.checkbox("Include Timestamps", value=True)
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include_hashtags = st.checkbox("Include Hashtags", value=True)
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include_social_handles = st.checkbox("Include Social Media Handles", value=True)
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if st.button("Generate Description"):
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if not main_points:
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st.error("Please enter main points/keywords.")
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return
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with st.spinner("Generating description..."):
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description = generate_youtube_description(
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target_audience, main_points, tone_style, use_case, primary_keywords,
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secondary_keywords, language, seo_goals, include_timestamps,
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include_hashtags, include_social_handles
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)
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if description:
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# Store the description in session state
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st.session_state.generated_description = description
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# Store other parameters in session state for regeneration
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st.session_state.description_params = {
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"target_audience": target_audience,
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"main_points": main_points,
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"tone_style": tone_style,
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"use_case": use_case,
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"primary_keywords": primary_keywords,
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"secondary_keywords": secondary_keywords,
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"language": language,
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"seo_goals": seo_goals,
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"include_timestamps": include_timestamps,
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"include_hashtags": include_hashtags,
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"include_social_handles": include_social_handles
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}
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st.subheader("Generated Description")
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# Display description with analysis
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st.text_area("Description", description, height=200)
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# Calculate and display metrics
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all_keywords = primary_keywords.split(",") + secondary_keywords.split(",")
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keyword_density = calculate_keyword_density(description, all_keywords)
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seo_score = calculate_seo_score(description, all_keywords)
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col1, col2 = st.columns(2)
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with col1:
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st.metric("Keyword Density", f"{keyword_density:.1f}%")
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with col2:
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st.metric("SEO Score", f"{seo_score}/10")
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# Create columns for the buttons
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btn_col1, btn_col2 = st.columns(2)
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with btn_col1:
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# Download button
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st.download_button(
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label="Download Description",
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data=description,
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file_name="youtube_description.txt",
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mime="text/plain"
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)
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with btn_col2:
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# Regenerate button
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if st.button("Regenerate"):
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st.session_state.show_regenerate_popover = True
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# Regenerate popover
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if st.session_state.get("show_regenerate_popover", False):
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with st.form("regenerate_form"):
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st.subheader("Regenerate Description")
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st.write("Specify changes you'd like to make to the description:")
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changes = st.text_area("Changes to make",
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placeholder="e.g., Make it more casual, add more call-to-actions, focus on product benefits")
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submitted = st.form_submit_button("Regenerate with Changes")
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if submitted and changes:
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with st.spinner("Regenerating description..."):
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# Get the stored parameters
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params = st.session_state.description_params
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# Add the changes to the prompt
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params["changes"] = changes
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# Generate a new description with the changes
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new_description = generate_youtube_description_with_changes(
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params["target_audience"],
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params["main_points"],
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params["tone_style"],
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params["use_case"],
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params["primary_keywords"],
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params["secondary_keywords"],
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params["language"],
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params["seo_goals"],
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params["include_timestamps"],
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params["include_hashtags"],
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params["include_social_handles"],
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changes
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)
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if new_description:
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# Update the stored description
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st.session_state.generated_description = new_description
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st.session_state.show_regenerate_popover = False
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st.rerun()
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else:
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st.error("Failed to regenerate description. Please try again.")
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else:
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st.error("Failed to generate description. Please try again.")
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# Display previously generated description if it exists in session state
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elif st.session_state.generated_description:
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description = st.session_state.generated_description
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params = st.session_state.description_params
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st.subheader("Generated Description")
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# Display description with analysis
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st.text_area("Description", description, height=200)
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# Calculate and display metrics
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all_keywords = params["primary_keywords"].split(",") + params["secondary_keywords"].split(",")
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keyword_density = calculate_keyword_density(description, all_keywords)
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seo_score = calculate_seo_score(description, all_keywords)
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col1, col2 = st.columns(2)
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with col1:
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st.metric("Keyword Density", f"{keyword_density:.1f}%")
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with col2:
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st.metric("SEO Score", f"{seo_score}/10")
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# Create columns for the buttons
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btn_col1, btn_col2 = st.columns(2)
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with btn_col1:
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# Download button
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st.download_button(
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label="Download Description",
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data=description,
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file_name="youtube_description.txt",
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mime="text/plain"
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)
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with btn_col2:
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# Regenerate button
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if st.button("Regenerate"):
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st.session_state.show_regenerate_popover = True
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# Regenerate popover
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if st.session_state.get("show_regenerate_popover", False):
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with st.form("regenerate_form"):
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st.subheader("Regenerate Description")
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st.write("Specify changes you'd like to make to the description:")
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changes = st.text_area("Changes to make",
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placeholder="e.g., Make it more casual, add more call-to-actions, focus on product benefits")
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submitted = st.form_submit_button("Regenerate with Changes")
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if submitted and changes:
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with st.spinner("Regenerating description..."):
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# Add the changes to the prompt
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params["changes"] = changes
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# Generate a new description with the changes
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new_description = generate_youtube_description_with_changes(
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params["target_audience"],
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params["main_points"],
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params["tone_style"],
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params["use_case"],
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params["primary_keywords"],
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params["secondary_keywords"],
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params["language"],
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params["seo_goals"],
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params["include_timestamps"],
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params["include_hashtags"],
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params["include_social_handles"],
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changes
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)
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if new_description:
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# Update the stored description
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st.session_state.generated_description = new_description
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st.session_state.show_regenerate_popover = False
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st.rerun()
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else:
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st.error("Failed to regenerate description. Please try again.")
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def generate_youtube_description_with_changes(target_audience, main_points, tone_style, use_case, primary_keywords,
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secondary_keywords, language, seo_goals, include_timestamps=False,
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include_hashtags=False, include_social_handles=False, changes=""):
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"""Generate a YouTube description based on the provided parameters and requested changes."""
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# Create a custom system prompt for YouTube description generation
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system_prompt = """You are a YouTube description expert specializing in creating engaging, SEO-optimized video descriptions.
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Your task is to generate YouTube video descriptions based on the provided information.
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Focus ONLY on creating descriptions that are optimized for YouTube, with proper formatting, keywords, and calls to action.
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Return ONLY the description text, without any additional commentary or explanations."""
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# Build the prompt
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prompt = f"""
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**Instructions:**
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Please generate a YouTube description for a video about **{main_points}** based on the following information:
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**Target Audience:** {target_audience}
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**Tone and Style:** {tone_style}
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**Use Case:** {use_case}
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**Language:** {language}
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**Primary Keywords:** {primary_keywords}
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**Secondary Keywords:** {secondary_keywords}
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**SEO Goals:** {seo_goals}
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**Additional Elements:**
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{"- Include timestamps for key sections." if include_timestamps else ""}
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{"- Include relevant hashtags." if include_hashtags else ""}
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{"- Include social media handles." if include_social_handles else ""}
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**Requested Changes:**
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{changes}
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**Specific Instructions:**
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* Keep the description informative and engaging.
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* Use a conversational tone that matches the target audience.
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* Include relevant keywords naturally.
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* Add a call to action.
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* Keep the length between 250-300 words for optimal SEO.
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* Incorporate the requested changes into the description.
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"""
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try:
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response = llm_text_gen(prompt, system_prompt=system_prompt)
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return response
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except Exception as err:
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st.error(f"Error: Failed to get response from LLM: {err}")
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return None
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