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Update app.py
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app.py
CHANGED
@@ -7,7 +7,7 @@ from datetime import datetime
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import base64
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# Set page configuration
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st.set_page_config(page_title="
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# Custom CSS for styling
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st.markdown("""
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@@ -37,6 +37,7 @@ st.markdown("""
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border: 1px solid #e9ecef;
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min-height: 150px;
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white-space: pre-wrap;
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}
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.st-emotion-cache-1nv1tyf {
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font-size: 0.85rem;
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@@ -73,12 +74,13 @@ st.markdown("""
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</style>
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""", unsafe_allow_html=True)
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# Initialize session state
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if 'selections' not in st.session_state:
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st.session_state.selections = {
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'role': None, 'tone': None, 'instruction': None, 'length': None,
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'content_type': None, 'audience': None, 'format': None,
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'about': "
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}
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if 'prompt_history' not in st.session_state:
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st.session_state.prompt_history = []
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@@ -135,7 +137,9 @@ data = {
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{"name": "Markdown", "emoji": "๐"}, {"name": "HTML", "emoji": "๐"},
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{"name": "Plain Text", "emoji": "๐"}, {"name": "JSON", "emoji": "๐"},
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{"name": "PDF", "emoji": "๐"}, {"name": "Python Code", "emoji": "๐"},
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{"name": "JavaScript", "emoji": "๐"}, {"name": "SQL Query", "emoji": "๐พ"}
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]
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}
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@@ -166,8 +170,8 @@ def generate_prompt():
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sel = st.session_state.selections
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if not all([sel['role'], sel['tone'], sel['instruction'], sel['length'],
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sel['content_type'], sel['audience'], sel['format']
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return "Please select all required components
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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']}.
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@@ -218,19 +222,28 @@ def get_base64_download_link(filepath):
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filename = os.path.basename(filepath)
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return f'<a href="data:application/octet-stream;base64,{b64}" download="{filename}">Download {filename}</a>'
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# Sidebar
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with st.sidebar:
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st.markdown("### ๐ Saved Prompts")
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md_files = get_saved_md_files()
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if md_files:
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for md_file in sorted(md_files, reverse=True):
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filepath = os.path.join("prompts", md_file)
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st.markdown(f"- {get_base64_download_link(filepath)}", unsafe_allow_html=True)
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else:
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st.write("No saved prompts yet.")
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# Header
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st.markdown("<h2 style='text-align: center; font-size: 1.3rem; margin-bottom: 1rem;'
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# Main layout with two columns
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col1, col2 = st.columns([3, 1])
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@@ -273,8 +286,8 @@ with col2:
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st.markdown("<div class='category-header'>๐ฎ Generated Prompt</div>", unsafe_allow_html=True)
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st.markdown("<div class='dataframe-container'>", unsafe_allow_html=True)
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st.
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st.markdown("</div>", unsafe_allow_html=True)
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button_cols = st.columns(4)
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@@ -285,7 +298,7 @@ with col2:
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if st.button("๐ Reset", type="secondary", use_container_width=True):
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for key in st.session_state.selections:
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if key in ['about', 'inclusion', 'exclusion', 'input_data']:
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st.session_state.selections[key] = ""
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else:
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st.session_state.selections[key] = None
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st.session_state.prompt_history = []
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import base64
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# Set page configuration
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st.set_page_config(page_title="PromptWizardry", page_icon="๐ง ", layout="wide")
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# Custom CSS for styling
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st.markdown("""
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border: 1px solid #e9ecef;
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min-height: 150px;
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white-space: pre-wrap;
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font-size: 0.85em;
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}
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.st-emotion-cache-1nv1tyf {
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font-size: 0.85rem;
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</style>
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""", unsafe_allow_html=True)
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# Initialize session state with default topic
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if 'selections' not in st.session_state:
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st.session_state.selections = {
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'role': None, 'tone': None, 'instruction': None, 'length': None,
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'content_type': None, 'audience': None, 'format': None,
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'about': "DistillKit, MergeKit, Spectrum for ML Model Building from input Spreadsheets using torch, transformers and Streamlit",
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'inclusion': "", 'exclusion': "", 'input_data': ""
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}
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if 'prompt_history' not in st.session_state:
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st.session_state.prompt_history = []
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{"name": "Markdown", "emoji": "๐"}, {"name": "HTML", "emoji": "๐"},
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{"name": "Plain Text", "emoji": "๐"}, {"name": "JSON", "emoji": "๐"},
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{"name": "PDF", "emoji": "๐"}, {"name": "Python Code", "emoji": "๐"},
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{"name": "JavaScript", "emoji": "๐"}, {"name": "SQL Query", "emoji": "๐พ"},
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{"name": "Image Gen Prompt", "emoji": "๐ผ๏ธ"}, {"name": "Video Gen Prompt", "emoji": "๐ฅ"},
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{"name": "Song Gen Prompt", "emoji": "๐ต"}, {"name": "Story Gen Prompt", "emoji": "๐"}
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]
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}
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sel = st.session_state.selections
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if not all([sel['role'], sel['tone'], sel['instruction'], sel['length'],
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sel['content_type'], sel['audience'], sel['format']]):
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return "Please select all required components."
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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']}.
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filename = os.path.basename(filepath)
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return f'<a href="data:application/octet-stream;base64,{b64}" download="{filename}">Download {filename}</a>'
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# Sidebar with Saved Prompts and Feature Outline
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with st.sidebar:
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st.markdown("### ๐ Saved Prompts")
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md_files = get_saved_md_files()
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if md_files:
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for md_file in sorted(md_files, reverse=True):
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filepath = os.path.join("prompts", md_file)
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st.markdown(f"- {get_base64_download_link(filepath)}", unsafe_allow_html=True)
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else:
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st.write("No saved prompts yet.")
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st.markdown("### ๐ PromptWizardry Magic")
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st.markdown("""
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- ๐ **Prompt Alchemy**: Craft with roles, tones, & more!
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- ๐ช **Actions**: Copy, Reset, Random, Run!
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- ๐พ **Scroll Vault**: Save & download `.md` spells!
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- โณ **Chronicles**: Relive your magic history!
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- ๐ **Extras**: Sample spells & dazzling UI!
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""")
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# Header
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st.markdown("<h2 style='text-align: center; font-size: 1.3rem; margin-bottom: 1rem;'>โจ PromptWizardry</h2>", unsafe_allow_html=True)
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# Main layout with two columns
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col1, col2 = st.columns([3, 1])
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st.markdown("<div class='category-header'>๐ฎ Generated Prompt</div>", unsafe_allow_html=True)
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st.markdown("<div class='dataframe-container'>", unsafe_allow_html=True)
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st.text_area("", value=prompt, height=150, key="generated_prompt", disabled=True,
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help="Your magical prompt appears here!")
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st.markdown("</div>", unsafe_allow_html=True)
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button_cols = st.columns(4)
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if st.button("๐ Reset", type="secondary", use_container_width=True):
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for key in st.session_state.selections:
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if key in ['about', 'inclusion', 'exclusion', 'input_data']:
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st.session_state.selections[key] = "" if key != 'about' else "DistillKit, MergeKit, Spectrum for ML Model Building from input Spreadsheets using torch, transformers and Streamlit"
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else:
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st.session_state.selections[key] = None
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st.session_state.prompt_history = []
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