Update app.py

app.py

@@ -1,225 +1,41 @@
 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")
-
-# 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)
-
-# Streamlit app
-def main():
-    # Load the history of clicks
-    history = load_history()
-
-    # Create a list of URLs with their associated names, emojis, and click counts
-    url_data = [{'url': url, 'name': name, 'emoji': emoji, 'clicks': history[url]} 
-                for url, name, emoji in zip(urls, url_names, url_emojis)]
-
-    # Sort the list by click counts in descending order
-    url_data.sort(key=lambda x: x['clicks'], reverse=True)
-
-    # Display the sorted URLs in columns up to four columns wide
-    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:
-            try: # and figure out a solution to the duplicate key problem ;)
-                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("'+data['url']+'", "_blank");</script>', unsafe_allow_html=True)
-                    # Update the history of clicks
-                    history[data['url']] += 1
-                    save_history(history)
-            except:
-                st.write('Keep Trying ;)')
-            # Display the number of times the URL was opened below its corresponding button
-            st.write(f"Clicked: {history[data['url']]} times")
-
-
-
-if __name__ == "__main__":
-    main()
-
-
-# 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)
-    history = load_history()  # Reload the history after the countdown
-
-    # Display the Bokeh graph showing the click counts
-    non_zero_urls = [name for url, name in zip(urls, url_names) if history[url] > 0]
-    non_zero_counts = [history[url] for url in urls if history[url] > 0]
-
-    source = ColumnDataSource(data=dict(urls=non_zero_urls, counts=non_zero_counts))
-
-    p = figure(x_range=non_zero_urls, plot_height=350, title="Click Counts per URL",
-               toolbar_location=None, tools="")
-    p.vbar(x='urls', top='counts', width=0.9, source=source)
-    p.xaxis.major_label_orientation = 1.2
-
-    st.bokeh_chart(p)
+import pandas as pd
+
+# Create a dataset for stories and votes
+df = pd.DataFrame({
+    'story': [
+        "A 45-year-old man presents with a long history of ulcers on the bottom of his feet. 👣🚑",
+        "A 24-year-old man, an information technology professional, gets himself tested for serum immunoglobulin M (IgM) levels. 💻🧪",
+        "A 33-year-old woman who was recently involved in a motor vehicle accident presents to a medical clinic for a follow-up visit. 🚗🏥",
+    ],
+    'votes': [0, 0, 0]
+})
+
+# Function to vote on a story
+def vote_story(index):
+    df.loc[index, 'votes'] += 1
+
+# Function to break story into sentences
+def break_into_sentences(story):
+    return story.split(". ")
+
+# Function to display story and voting
+def display_story(index, row):
+    sentences = break_into_sentences(row['story'])
+    for sentence in sentences:
+        st.text(sentence)
+    st.button(f"Vote for Story {index + 1}", on_click=vote_story, args=(index,))
+
+# Main app
+st.title('Medical Story Voting 🗳️')
+
+# Display stories and voting buttons
+for index, row in df.iterrows():
+    col1, col2 = st.columns([3,1])
+    with col1:
+        display_story(index, row)
+    col2.write(f"Votes: {row['votes']}")
+
+# Display total votes
+st.markdown("### 📊 Vote Summary")
+st.table(df)