import streamlit as st import json urls = [ "https://huggingface.co/spaces/awacke1/CB-GR-Chatbot-Blenderbot", "https://huggingface.co/spaces/awacke1/TTS-STT-Blocks", "https://huggingface.co/spaces/awacke1/Prompt-Refinery-Text-to-Image-Generation", "https://huggingface.co/spaces/awacke1/Video-Summary", "https://huggingface.co/spaces/awacke1/AI-MovieMaker-Comedy", "https://huggingface.co/spaces/awacke1/ChatGPT-Memory-Chat-Story-Generator", "https://huggingface.co/spaces/awacke1/CloneAnyVoice", "https://huggingface.co/spaces/awacke1/ChatGPT-Streamlit-2", "https://huggingface.co/spaces/awacke1/WikipediaUltimateAISearch", "https://huggingface.co/spaces/awacke1/RLHF.Cognitive.Episodic.Semantic.Memory", "https://huggingface.co/spaces/awacke1/Memory-Shared", "https://huggingface.co/spaces/awacke1/VideoSwap", "https://huggingface.co/spaces/awacke1/AI-Wikipedia-Search", "https://huggingface.co/spaces/awacke1/AutoMLUsingStreamlit-Plotly", "https://huggingface.co/spaces/awacke1/NLP-Lyric-Chorus-Image", "https://huggingface.co/spaces/awacke1/OpenAssistant-Chatbot-FTW-Open-Source", "https://huggingface.co/spaces/awacke1/ChatGPTStreamlit7", "https://huggingface.co/spaces/awacke1/MultiPDF-QA-ChatGPT-Langchain", "https://huggingface.co/spaces/awacke1/SOTA-Plan", "https://huggingface.co/spaces/awacke1/AIandSmartTools", "https://huggingface.co/spaces/awacke1/3DVirtualFood", "https://huggingface.co/spaces/awacke1/Gradio-Gallery-Health-Medical-Icon-Sets", "https://huggingface.co/spaces/awacke1/DatasetAnalyzer", "https://huggingface.co/spaces/awacke1/PrompTart", "https://huggingface.co/spaces/awacke1/sileod-deberta-v3-base-tasksource-nli", "https://huggingface.co/spaces/awacke1/File-Memory-Operations-Human-Feedback-Gradio", "https://huggingface.co/spaces/awacke1/Bloom.Big.Science.Continual.Generator", "https://huggingface.co/spaces/awacke1/Ontology-Gradio", "https://huggingface.co/spaces/awacke1/HTML5-Aframe-3dMap-Flight", "https://huggingface.co/spaces/awacke1/Bloom.Generative.Writer", "https://huggingface.co/spaces/awacke1/Voice-ChatGPT-Streamlit-12", "https://huggingface.co/spaces/awacke1/HTML5-AR-VR", "https://huggingface.co/spaces/awacke1/AnimationAI", "https://huggingface.co/spaces/awacke1/GenerativeWordsandImages", "https://huggingface.co/spaces/awacke1/AR-VR-IOT-Demo", "https://huggingface.co/spaces/awacke1/ArtStyleFoodsandNutrition", "https://huggingface.co/spaces/awacke1/CarePlanQnAWithContext", "https://huggingface.co/spaces/awacke1/VideoSummaryYoutube3", "https://huggingface.co/spaces/awacke1/AW-01ST-CSV-Dataset-Analyzer", "https://huggingface.co/spaces/awacke1/Try.Playing.Learning.Sharing.On.This", "https://huggingface.co/spaces/awacke1/google-flan-t5-base", "https://huggingface.co/spaces/awacke1/PubMed-Parrot-Paraphraser-on-T5", "https://huggingface.co/spaces/awacke1/Writing-Grammar-And-Paraphrase-w-Pegasus", "https://huggingface.co/spaces/awacke1/runwayml-stable-diffusion-v1-5", "https://huggingface.co/spaces/awacke1/DockerGoFlanT5", "https://huggingface.co/spaces/awacke1/GradioContinualGenerator", "https://huggingface.co/spaces/awacke1/StreamlitSuperPowerCheatSheet" ] # Extract the last part of each URL (after the last '/') to serve as the name of the button url_names = [url.split('/')[-1] for url in urls] # Associate each URL with a relevant emoji based on keywords in its name emoji_mapping = { "Chatbot": "🤖", "TTS": "🗣️", "STT": "👂", "Video": "🎥", "MovieMaker": "🍿", "ChatGPT": "💬", "Voice": "🎙️", "Wikipedia": "📖", "Memory": "🧠", "AI": "🧠", "OpenAssistant": "🤝", "3D": "🕶️", "AR": "👓", "VR": "🕶️", "Animation": "🖌️", "Dataset": "📊", "Gradio": "📻", "HTML5": "🌐", "Writing": "✍️", "Grammar": "🖋️", "Paraphrase": "🔄", "Streamlit": "🌠" } # Map each URL name to its most relevant emoji url_emojis = [] for name in url_names: associated_emoji = "🔗" # Default emoji for keyword, emoji in emoji_mapping.items(): if keyword in name: associated_emoji = emoji break url_emojis.append(associated_emoji) #url_emojis[:5], url_names[:5] # Display the first 5 URL names with their associated emojis import streamlit as st import json import webbrowser def get_emoji(name): for key, emoji in emoji_mapping.items(): if key in name: return emoji return "🔗" def load_votes(): try: with open("votes.json", "r") as f: return json.load(f) except FileNotFoundError: return {url: 0 for url in urls} def save_votes(votes): with open("votes.json", "w") as f: json.dump(votes, f) def main(): votes = load_votes() # Create sorted list of items items = [{"url": url, "name": url.split('/')[-1], "emoji": get_emoji(url.split('/')[-1]), "votes": votes[url]} for url in urls] items.sort(key=lambda x: (-x["votes"], x["name"])) # Display buttons in grid cols = st.columns(4) for i, item in enumerate(items): with cols[i % 4]: if st.button(f"{item['emoji']} {item['name']}", key=item['url']): votes[item['url']] += 1 save_votes(votes) st.rerun() st.write(f"Votes: {item['votes']}") # Display vote graph if any(votes.values()): source = ColumnDataSource({ 'names': [i["name"] for i in items if votes[i["url"]] > 0], 'votes': [i["votes"] for i in items if votes[i["url"]] > 0] }) p = figure(x_range=source.data['names'], height=350, title="Vote Counts") p.vbar(x='names', top='votes', width=0.9, source=source) p.xaxis.major_label_orientation = 1.2 st.bokeh_chart(p) if __name__ == "__main__": main()