app.py

import streamlit as st
import pandas as pd
import random
import json
import os
from datetime import datetime
import base64

# Set page configuration
st.set_page_config(page_title="PromptWizardry", page_icon="🧠", layout="wide")

# Custom CSS for styling
st.markdown("""
<style>
    .main {background-color: #f8f9fa;}
    div[data-testid="stVerticalBlock"] {gap: 0.2rem;}
    div[data-testid="stHorizontalBlock"] {gap: 0.3rem;}
    .stTextArea textarea, .stTextInput input {
        padding: 0.3rem;
        font-size: 0.85em;
    }
    h1, h2, h3 {margin-top: 0; margin-bottom: 0.2rem;}
    p, div {margin-bottom: 0.1rem;}
    .category-header {
        font-weight: bold;
        font-size: 1rem;
        margin-bottom: 0.2rem;
        color: #333;
        background-color: #f1f8ff;
        padding: 3px 8px;
        border-radius: 4px;
    }
    .prompt-display {
        background-color: #ffffff;
        border-radius: 4px;
        padding: 12px;
        border: 1px solid #e9ecef;
        min-height: 150px;
        white-space: pre-wrap;
        font-size: 0.85em;
    }
    .st-emotion-cache-1nv1tyf {
        font-size: 0.85rem;
    }
    .dataframe-container {
        background-color: white;
        border: 1px solid #e6e6e6;
        border-radius: 4px;
        padding: 8px;
        margin-bottom: 8px;
    }
    .selected-item {
        background-color: #007bff !important;
        color: white !important;
        font-weight: bold;
        padding: 2px 6px;
        border-radius: 4px;
    }
    .unselected-item {
        background-color: #f8f9fa;
        padding: 2px 6px;
        border-radius: 4px;
        cursor: pointer;
    }
    .unselected-item:hover {
        background-color: #e9ecef;
    }
    table {
        font-size: 0.85rem;
    }
    .clickable {
        cursor: pointer;
    }
</style>
""", unsafe_allow_html=True)

# Initialize session state with default topic
if 'selections' not in st.session_state:
    st.session_state.selections = {
        'role': None, 'tone': None, 'instruction': None, 'length': None,
        'content_type': None, 'audience': None, 'format': None,
        'about': "DistillKit, MergeKit, Spectrum for ML Model Building from input Spreadsheets using torch, transformers and Streamlit",
        'inclusion': "", 'exclusion': "", 'input_data': ""
    }
if 'prompt_history' not in st.session_state:
    st.session_state.prompt_history = []

# Data sets with emoji and names
data = {
    'roles': [
        {"name": "Professional", "emoji": "👔"}, {"name": "Expert", "emoji": "🧠"},
        {"name": "Friend", "emoji": "🤝"}, {"name": "Copywriter", "emoji": "✍️"},
        {"name": "Creative Writer", "emoji": "🖋️"}, {"name": "Sales Coach", "emoji": "💼"},
        {"name": "Marketing Coach", "emoji": "📊"}, {"name": "Tech Consultant", "emoji": "💻"},
        {"name": "Life Coach", "emoji": "🧘"}, {"name": "Data Analyst", "emoji": "📈"},
        {"name": "Influencer", "emoji": "📱"}, {"name": "Language Tutor", "emoji": "🗣️"},
        {"name": "Fitness Trainer", "emoji": "💪"}, {"name": "Teacher", "emoji": "👨‍🏫"},
        {"name": "Therapist", "emoji": "🧐"}, {"name": "Detective", "emoji": "🔍"}
    ],
    'tones': [
        {"name": "Informative", "emoji": "ℹ️"}, {"name": "Inspirational", "emoji": "✨"},
        {"name": "Humorous", "emoji": "😄"}, {"name": "Friendly", "emoji": "😊"},
        {"name": "Professional", "emoji": "👔"}, {"name": "Casual", "emoji": "👋"},
        {"name": "Persuasive", "emoji": "🤝"}, {"name": "Encouraging", "emoji": "🙌"},
        {"name": "Empathetic", "emoji": "🤗"}, {"name": "Serious", "emoji": "😐"},
        {"name": "Enthusiastic", "emoji": "🤩"}, {"name": "Thoughtful", "emoji": "💭"}
    ],
    'instructions': [
        {"name": "Create", "emoji": "🔨"}, {"name": "Suggest", "emoji": "💡"},
        {"name": "Write", "emoji": "✍️"}, {"name": "Compose", "emoji": "📝"},
        {"name": "Analyze", "emoji": "🔍"}, {"name": "Explain", "emoji": "📚"},
        {"name": "Describe", "emoji": "🔎"}, {"name": "Summarize", "emoji": "📋"},
        {"name": "Compare", "emoji": "⚖️"}, {"name": "Outline", "emoji": "📋"},
        {"name": "Evaluate", "emoji": "⭐"}, {"name": "List", "emoji": "📋"}
    ],
    'lengths': [
        {"name": "300 Words", "emoji": "📝"}, {"name": "500 Words", "emoji": "📄"},
        {"name": "Short", "emoji": "🩳"}, {"name": "Medium", "emoji": "📊"},
        {"name": "Long", "emoji": "📜"}, {"name": "Brief", "emoji": "💨"},
        {"name": "Detailed", "emoji": "🔎"}, {"name": "Comprehensive", "emoji": "📚"}
    ],
    'content_types': [
        {"name": "Article", "emoji": "📰"}, {"name": "Blog post", "emoji": "📝"},
        {"name": "Guide", "emoji": "📚"}, {"name": "Email", "emoji": "📧"},
        {"name": "Summary", "emoji": "📋"}, {"name": "Story", "emoji": "📖"},
        {"name": "Essay", "emoji": "📄"}, {"name": "Review", "emoji": "⭐"},
        {"name": "Tutorial", "emoji": "👨‍🏫"}, {"name": "Report", "emoji": "📊"},
        {"name": "Plan", "emoji": "📆"}, {"name": "Script", "emoji": "🎬"}
    ],
    'audiences': [
        {"name": "Beginners", "emoji": "🌱"}, {"name": "Experts", "emoji": "🧠"},
        {"name": "Students", "emoji": "🎓"}, {"name": "Professionals", "emoji": "👔"},
        {"name": "Business Owners", "emoji": "💼"}, {"name": "General Public", "emoji": "👥"},
        {"name": "Developers", "emoji": "💻"}, {"name": "Children", "emoji": "👶"}
    ],
    'formats': [
        {"name": "Markdown", "emoji": "📝"}, {"name": "HTML", "emoji": "🌐"},
        {"name": "Plain Text", "emoji": "📄"}, {"name": "JSON", "emoji": "🔄"},
        {"name": "PDF", "emoji": "📑"}, {"name": "Python Code", "emoji": "🐍"},
        {"name": "JavaScript", "emoji": "📜"}, {"name": "SQL Query", "emoji": "💾"},
        {"name": "Image Gen Prompt", "emoji": "🖼️"}, {"name": "Video Gen Prompt", "emoji": "🎥"},
        {"name": "Song Gen Prompt", "emoji": "🎵"}, {"name": "Story Gen Prompt", "emoji": "📚"}
    ]
}

# Function to handle selection
def handle_selection(category, item):
    st.session_state.selections[category] = item

# Function to create category selection with buttons
def create_dataframe_category(category, title, emoji_prefix):
    st.markdown(f"<div class='category-header'>{emoji_prefix} {title}</div>", unsafe_allow_html=True)
    st.markdown("<div class='dataframe-container'>", unsafe_allow_html=True)
    
    cols = st.columns(4)
    for i, item in enumerate(data[f"{category}s"]):
        col = cols[i % 4]
        label = f"{item['emoji']} {item['name']}"
        is_selected = st.session_state.selections[category] == item
        with col:
            if st.button(label, key=f"{category}_{i}", 
                        type="primary" if is_selected else "secondary",
                        use_container_width=True):
                handle_selection(category, item)
    
    st.markdown("</div>", unsafe_allow_html=True)

# Function to generate the final prompt
def generate_prompt():
    sel = st.session_state.selections
    
    if not all([sel['role'], sel['tone'], sel['instruction'], sel['length'], 
               sel['content_type'], sel['audience'], sel['format']]):
        return "Please select all required components."
    
    prompt = f"""Act as a {sel['role']['emoji']} {sel['role']['name']}, use {sel['tone']['emoji']} {sel['tone']['name']} tone, {sel['instruction']['emoji']} {sel['instruction']['name']} a {sel['length']['emoji']} {sel['length']['name']} {sel['content_type']['emoji']} {sel['content_type']['name']} for {sel['audience']['emoji']} {sel['audience']['name']}.

It should be about {sel['about']}."""

    if sel['inclusion']:
        prompt += f"\nInclude {sel['inclusion']}."
    
    if sel['exclusion']:
        prompt += f"\nExclude {sel['exclusion']}."
    
    prompt += f"\n\nReturn the output as {sel['format']['emoji']} {sel['format']['name']}."
    
    if sel['input_data']:
        prompt += f"\nUse the following information: {sel['input_data']}"
    
    return prompt

# Function to save prompt as markdown file and return filename
def save_prompt_as_md(prompt):
    sel = st.session_state.selections
    if not prompt.startswith("Please"):
        components = [
            sel['role']['name'], sel['tone']['name'], sel['instruction']['name'],
            sel['length']['name'], sel['content_type']['name'], sel['audience']['name'],
            sel['format']['name']
        ]
        timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
        filename = f"prompt_{'_'.join(comp.lower().replace(' ', '_') for comp in components)}_{timestamp}.md"
        
        os.makedirs("prompts", exist_ok=True)
        
        with open(os.path.join("prompts", filename), "w") as f:
            f.write(f"```markdown\n{prompt}\n```")
        return filename
    return None

# Function to get list of saved .md files
def get_saved_md_files():
    os.makedirs("prompts", exist_ok=True)
    return [f for f in os.listdir("prompts") if f.endswith(".md")]

# Function to generate Base64 download link
def get_base64_download_link(filepath):
    with open(filepath, "rb") as f:
        data = f.read()
    b64 = base64.b64encode(data).decode()
    filename = os.path.basename(filepath)
    return f'<a href="data:application/octet-stream;base64,{b64}" download="{filename}">Download {filename}</a>'

# Sidebar with Saved Prompts and Feature Outline
with st.sidebar:
    st.markdown("### 📁 Saved Prompts")
    md_files = get_saved_md_files()
    if md_files:
        for md_file in sorted(md_files, reverse=True):
            filepath = os.path.join("prompts", md_file)
            st.markdown(f"- {get_base64_download_link(filepath)}", unsafe_allow_html=True)
    else:
        st.write("No saved prompts yet.")
    
    st.markdown("### 🌟 PromptWizardry Magic")
    st.markdown("""
    - 🌈 **Prompt Alchemy**: Craft with roles, tones, & more!  
    - 🪄 **Actions**: Copy, Reset, Random, Run!  
    - 💾 **Scroll Vault**: Save & download `.md` spells!  
    - ⏳ **Chronicles**: Relive your magic history!  
    - 🎉 **Extras**: Sample spells & dazzling UI!
    """)

# Header
st.markdown("<h2 style='text-align: center; font-size: 1.3rem; margin-bottom: 1rem;'>✨ PromptWizardry</h2>", unsafe_allow_html=True)

# Main layout with two columns
col1, col2 = st.columns([3, 1])

with col1:
    create_dataframe_category("role", "Choose a Role", "👤")
    create_dataframe_category("tone", "Select a Tone", "🎭")
    create_dataframe_category("instruction", "Select an Instruction", "📝")
    create_dataframe_category("length", "Select Length", "📏")
    create_dataframe_category("content_type", "Select Content Type", "📄")
    create_dataframe_category("audience", "Select Target Audience", "👥")
    create_dataframe_category("format", "Select Format", "📋")
    
    st.markdown("<div class='category-header'>📌 Additional Details</div>", unsafe_allow_html=True)
    st.markdown("<div class='dataframe-container'>", unsafe_allow_html=True)
    
    st.session_state.selections['about'] = st.text_input("💬 Topic", 
                                                       value=st.session_state.selections['about'], 
                                                       placeholder="Enter what the content should be about")
    
    include_exclude_cols = st.columns(2)
    with include_exclude_cols[0]:
        st.session_state.selections['inclusion'] = st.text_input("✅ Include", 
                                                              value=st.session_state.selections['inclusion'], 
                                                              placeholder="What to include in the content")
    with include_exclude_cols[1]:
        st.session_state.selections['exclusion'] = st.text_input("❌ Exclude", 
                                                              value=st.session_state.selections['exclusion'], 
                                                              placeholder="What to exclude from the content")
    
    st.session_state.selections['input_data'] = st.text_area("📊 Input Data", 
                                                          value=st.session_state.selections['input_data'], 
                                                          placeholder="Enter any specific information to use",
                                                          height=100)
    
    st.markdown("</div>", unsafe_allow_html=True)

with col2:
    prompt = generate_prompt()
    
    st.markdown("<div class='category-header'>🔮 Generated Prompt</div>", unsafe_allow_html=True)
    st.markdown("<div class='dataframe-container'>", unsafe_allow_html=True)
    st.text_area("", value=prompt, height=150, key="generated_prompt", disabled=True,
                 help="Your magical prompt appears here!")
    st.markdown("</div>", unsafe_allow_html=True)
    
    button_cols = st.columns(4)
    with button_cols[0]:
        if st.button("📋 Copy", type="secondary", use_container_width=True):
            st.code(prompt, language="")
    with button_cols[1]:
        if st.button("🔄 Reset", type="secondary", use_container_width=True):
            for key in st.session_state.selections:
                if key in ['about', 'inclusion', 'exclusion', 'input_data']:
                    st.session_state.selections[key] = "" if key != 'about' else "DistillKit, MergeKit, Spectrum for ML Model Building from input Spreadsheets using torch, transformers and Streamlit"
                else:
                    st.session_state.selections[key] = None
            st.session_state.prompt_history = []
            st.rerun()
    with button_cols[2]:
        if st.button("🎲 Random", type="secondary", use_container_width=True):
            for category in ['role', 'tone', 'instruction', 'length', 'content_type', 'audience', 'format']:
                st.session_state.selections[category] = random.choice(data[category+'s'])
            st.rerun()
    with button_cols[3]:
        if st.button("🏃 Run", type="primary", use_container_width=True):
            if not prompt.startswith("Please"):
                st.code(f"```markdown\n{prompt}\n```", language="markdown")
                filename = save_prompt_as_md(prompt)
                if filename:
                    st.success(f"Saved as {filename}")
                st.session_state.prompt_history.append({
                    "prompt": prompt,
                    "timestamp": datetime.now().strftime("%Y-%m-%d %H:%M:%S"),
                    "filename": filename
                })
    
    st.markdown("<div class='category-header'>📜 Live Prompt Code</div>", unsafe_allow_html=True)
    st.code(f"```markdown\n{prompt}\n```", language="markdown")
    
    st.markdown("</div>", unsafe_allow_html=True)
    
    st.markdown("<div class='category-header'>📜 Prompt History</div>", unsafe_allow_html=True)
    st.markdown("<div class='dataframe-container'>", unsafe_allow_html=True)
    if st.session_state.prompt_history:
        for i, entry in enumerate(reversed(st.session_state.prompt_history)):
            st.markdown(f"**Prompt {len(st.session_state.prompt_history) - i} ({entry['timestamp']})**")
            st.code(f"```markdown\n{entry['prompt']}\n```", language="markdown")
            st.write(f"Saved as: `{entry['filename']}`")
    else:
        st.write("No prompts generated yet.")
    st.markdown("</div>", unsafe_allow_html=True)
    
    st.markdown("<div class='category-header'>📚 Examples</div>", unsafe_allow_html=True)
    st.markdown("<div class='dataframe-container'>", unsafe_allow_html=True)
    
    st.markdown("""
    <div style="background-color: #e6f3ff; border: 1px solid #b8daff; border-radius: 4px; padding: 6px; margin-bottom: 6px; font-size: 0.8em;">
        <b>👨‍🏫 Teaching</b><pre style="white-space: pre-wrap; font-size: 0.8em; margin: 3px 0px;">Act as a 👨‍🏫 Teacher, use 📚 Informative tone, Create a 📋 Guide for 🌱 Beginners.

It should be about Git.
Include practical examples.
Exclude advanced techniques.

Return as 📝 Markdown.</pre>
    </div>
    """, unsafe_allow_html=True)
    
    st.markdown("""
    <div style="background-color: #e6ffed; border: 1px solid #b8e6cc; border-radius: 4px; padding: 6px; margin-bottom: 6px; font-size: 0.8em;">
        <b>💼 Business</b><pre style="white-space: pre-wrap; font-size: 0.8em; margin: 3px 0px;">Act as a 👔 Professional, use 🤝 Persuasive tone, Write a 📧 Email for 💼 Business Owners.

It should be about a product launch.
Include ROI metrics.
Exclude technical details.

Return as 📄 Plain Text.</pre>
    </div>
    """, unsafe_allow_html=True)
    
    st.markdown("""
    <div style="background-color: #f1f8ff; border-radius: 4px; padding: 6px; margin-top: 6px; font-size: 0.8em;">
    <b>Prompt Structure:</b><br>
    Act as [<span style="color:blue">ROLE</span>], use [<span style="color:green">TONE</span>] tone, [<span style="color:red">INSTRUCTION</span>] a [<span style="color:purple">LENGTH</span>] [<span style="color:orange">CONTENT TYPE</span>] for [<span style="color:pink">AUDIENCE</span>].<br>
    It should be about [TOPIC].<br>
    Include [INCLUSION]. Exclude [EXCLUSION].<br>
    Return as [FORMAT].
    </div>
    """, unsafe_allow_html=True)
    
    st.markdown("</div>", unsafe_allow_html=True)