Create app.py

app.py

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+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
+
+# Function to load the history of clicks from the text file
+def load_history():
+    try:
+        with open("click_history.txt", "r") as f:
+            return json.load(f)
+    except FileNotFoundError:
+        return {url: 0 for url in urls}
+
+# Function to save the updated history of clicks to the text file
+def save_history(history):
+    with open("click_history.txt", "w") as f:
+        json.dump(history, f)
+
+# Load the history of clicks
+history = load_history()
+
+# Display the buttons for each URL
+for url, name, emoji in zip(urls, url_names, url_emojis):
+    if st.button(f"{emoji} {name}"):
+        # Open the URL in a new browser tab using JavaScript
+        st.write('<script>window.open("'+url+'", "_blank");</script>', unsafe_allow_html=True)
+        # Update the history of clicks
+        history[url] += 1
+        save_history(history)
+    # Display the number of times the URL was opened below its corresponding button
+    st.write(f"Clicked: {history[url]} times")
+
+import time
+from bokeh.plotting import figure
+from bokeh.models import ColumnDataSource
+
+# ... [rest of the initial code remains unchanged] ...
+
+# Streamlit app
+def main():
+
+    # Session state to hold the value of AutoRepeat button across reruns
+    if "auto_repeat" not in st.session_state:
+        st.session_state.auto_repeat = "On"
+    if "current_index" not in st.session_state:
+        st.session_state.current_index = 0  # Use 0 as a default index
+
+    # Load the history of clicks
+    history = load_history()
+
+    # Display the buttons for each URL
+    for url, name, emoji in zip(urls, url_names, url_emojis):
+        #if st.button(f"{emoji} {name}"):
+        if st.button(f"{emoji} {name}", key=url):  # using the URL as the unique key
+            # Open the URL in a new browser tab using JavaScript
+            st.write('<script>window.open("'+url+'", "_blank");</script>', unsafe_allow_html=True)
+            # Update the history of clicks
+            history[url] += 1
+            save_history(history)
+        # Display the number of times the URL was opened below its corresponding button
+        st.write(f"Clicked: {history[url]} times")
+
+def get_url_emojis(url_names):
+    url_emojis = []
+    for name in url_names:
+        associated_emoji = "🔗"
+        for keyword, emoji in emoji_mapping.items():
+            if keyword in name:
+                associated_emoji = emoji
+                break
+        url_emojis.append(associated_emoji)
+    return url_emojis
+
+def load_history():
+    try:
+        with open("click_history.txt", "r") as f:
+            return json.load(f)
+    except FileNotFoundError:
+        return {url: 0 for url in urls}
+
+def save_history(history):
+    with open("click_history.txt", "w") as f:
+        json.dump(history, f)
+
+def main():
+    if "auto_repeat" not in st.session_state:
+        st.session_state.auto_repeat = "On"
+    
+    history = load_history()
+    
+    # Create list of dictionaries with all data
+    url_data = [{'url': url, 'name': name, 'emoji': emoji, 'clicks': history[url]} 
+                for url, name, emoji in zip(urls, url_names, get_url_emojis(url_names))]
+    
+    # Sort alphabetically on initial load if no clicks
+    if all(data['clicks'] == 0 for data in url_data):
+        url_data.sort(key=lambda x: x['name'].lower())
+    else:
+        # Sort by clicks (descending) and then alphabetically for ties
+        url_data.sort(key=lambda x: (-x['clicks'], x['name'].lower()))
+
+    # Display buttons in columns
+    num_cols = min(4, len(url_data))
+    cols = st.columns(num_cols)
+
+    for i, data in enumerate(url_data):
+        col = cols[i % num_cols]
+        with col:
+            if st.button(f"{data['emoji']} {data['name']}", key=f"btn_{data['url']}"):
+                st.write(f'<script>window.open("{data["url"]}", "_blank");</script>', 
+                        unsafe_allow_html=True)
+                history[data['url']] += 1
+                save_history(history)
+                st.experimental_rerun()  # Rerun to update sorting
+            st.write(f"Clicked: {data['clicks']} times")
+
+    # Display graph for non-zero clicks
+    non_zero_data = [d for d in url_data if d['clicks'] > 0]
+    if non_zero_data:
+        source = ColumnDataSource(data=dict(
+            urls=[d['name'] for d in non_zero_data],
+            counts=[d['clicks'] for d in non_zero_data]
+        ))
+
+        p = figure(x_range=[d['name'] for d in non_zero_data], 
+                  height=350, 
+                  title="Click Counts per URL",
+                  toolbar_location=None)
+        p.vbar(x='urls', top='counts', width=0.9, source=source)
+        p.xaxis.major_label_orientation = 1.2
+        st.bokeh_chart(p)
+
+    # Timer logic
+    if st.session_state.auto_repeat == "On":
+        timer_placeholder = st.empty()
+        for i in range(10, 0, -1):
+            timer_placeholder.text(f"Reloading in {i} seconds...")
+            time.sleep(1)
+        st.rerun()
+
+if __name__ == "__main__":
+    main()