Create app.py

app.py

@@ -0,0 +1,159 @@
+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)
+
+
+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():
+    st.set_page_config(layout="wide")
+    
+    if 'current_url' not in st.session_state:
+        st.session_state.current_url = None
+    
+    votes = load_votes()
+    
+    # Create two columns
+    col1, col2 = st.columns([1, 2])
+    
+    with col1:
+        # 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 2 columns within col1
+        button_cols = st.columns(2)
+        for i, item in enumerate(items):
+            with button_cols[i % 2]:
+                if st.button(f"{item['emoji']} {item['name']}", key=item['url']):
+                    votes[item['url']] += 1
+                    save_votes(votes)
+                    st.session_state.current_url = item['url']
+                    st.rerun()
+                st.write(f"Votes: {item['votes']}")
+
+    with col2:
+        if st.session_state.current_url:
+            st.components.iframe(st.session_state.current_url, height=800, scrolling=True)
+        else:
+            st.write("Select an app to view")
+
+    # Display vote graph at bottom of col1
+    if any(votes.values()):
+        with col1:
+            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=250, 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()