Update app.py
Browse files
app.py
CHANGED
@@ -19,12 +19,15 @@ logger = logging.getLogger(__name__)
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CSV_FILE = "repo_ids.csv"
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CHATBOT_SYSTEM_PROMPT = (
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"You are a helpful assistant
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"
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"
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)
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CHATBOT_INITIAL_MESSAGE = "Hello!
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# --- Helper Functions (Logic) ---
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@@ -427,6 +430,53 @@ def create_ui() -> gr.Blocks:
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.gr-dataframe tbody tr:hover {
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background-color: rgba(102, 126, 234, 0.05);
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}
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"""
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with gr.Blocks(
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@@ -569,7 +619,7 @@ def create_ui() -> gr.Blocks:
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df_output = gr.Dataframe(
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headers=["Repository", "Strengths", "Weaknesses", "Speciality", "Relevance"],
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wrap=True,
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interactive=False
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)
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# --- Chatbot Tab ---
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CSV_FILE = "repo_ids.csv"
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CHATBOT_SYSTEM_PROMPT = (
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"You are a helpful assistant whose ONLY job is to gather information about the user's ideal repository requirements. "
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"DO NOT suggest any specific repositories or give repository recommendations. "
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"Your role is to ask clarifying questions to understand exactly what the user is looking for. "
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"Ask about their use case, preferred programming language, specific features needed, project type, etc. "
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"When you feel you have gathered enough detailed information about their requirements, "
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"tell the user: 'I think I have enough information about your requirements. Please click the Extract Keywords button to search for repositories.' "
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"Focus on understanding their needs, not providing solutions."
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)
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CHATBOT_INITIAL_MESSAGE = "Hello! I'm here to help you define your ideal Hugging Face repository requirements. I won't suggest specific repos - my job is to understand exactly what you're looking for. Tell me about your project: What type of application are you building? What's your use case?"
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# --- Helper Functions (Logic) ---
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.gr-dataframe tbody tr:hover {
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background-color: rgba(102, 126, 234, 0.05);
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}
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/* JavaScript for auto-scroll to top on tab change */
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<script>
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document.addEventListener('DOMContentLoaded', function() {
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// Function to scroll to top
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function scrollToTop() {
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window.scrollTo({
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top: 0,
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behavior: 'smooth'
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});
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}
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// Observer for tab changes
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const observer = new MutationObserver(function(mutations) {
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mutations.forEach(function(mutation) {
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if (mutation.type === 'attributes' && mutation.attributeName === 'class') {
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const target = mutation.target;
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if (target.classList && target.classList.contains('selected')) {
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// Tab was selected, scroll to top
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setTimeout(scrollToTop, 100);
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}
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}
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});
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});
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// Observe tab navigation buttons
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const tabButtons = document.querySelectorAll('.gr-tab-nav button');
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tabButtons.forEach(button => {
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observer.observe(button, { attributes: true });
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// Also add click listener for immediate scroll
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button.addEventListener('click', function() {
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setTimeout(scrollToTop, 150);
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});
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});
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// Listen for programmatic tab changes (button-triggered navigation)
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let lastSelectedTab = null;
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setInterval(function() {
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const currentSelectedTab = document.querySelector('.gr-tab-nav button.selected');
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if (currentSelectedTab && currentSelectedTab !== lastSelectedTab) {
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lastSelectedTab = currentSelectedTab;
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scrollToTop();
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}
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}, 200);
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});
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</script>
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"""
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with gr.Blocks(
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df_output = gr.Dataframe(
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headers=["Repository", "Strengths", "Weaknesses", "Speciality", "Relevance"],
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wrap=True,
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interactive=False
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)
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# --- Chatbot Tab ---
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