Update app.py

app.py

@@ -26,35 +26,35 @@ import datetime
 import cv2
 import math
 
+#When I forgot about the readme file ChatGPT suggested these - Leaving to remember the ReadmeF.md must be updated as well
 #print(gr.__version__)
 #import subprocess
-#subprocess.run(["pip", "install", "gradio==3.47.1", "--force-reinstall"])
 #subprocess.run(["pip", "install", "--upgrade", "gradio==3.47.1"]) #For huggingface as they sometimes install specific versions on container build
 
 #Uncomment these for Huggingface
-nltk.download('maxent_ne_chunker') #Chunker
-nltk.download('stopwords') #Stop Words List (Mainly Roman Languages)
-nltk.download('words') #200 000+ Alphabetical order list
-nltk.download('punkt') #Tokenizer
-nltk.download('verbnet') #For Description of Verbs
-nltk.download('omw')
-nltk.download('omw-1.4') #Multilingual Wordnet
-nltk.download('wordnet') #For Definitions, Antonyms and Synonyms
-nltk.download('shakespeare')
-nltk.download('dolch') #Sight words
-nltk.download('names') #People Names NER
-nltk.download('gazetteers') #Location NER
-nltk.download('opinion_lexicon') #Sentiment words
-nltk.download('averaged_perceptron_tagger') #Parts of Speech Tagging
-nltk.download('udhr') # Declaration of Human rights in many languages
-
-
-spacy.cli.download("en_core_web_sm")
-spacy.cli.download('ko_core_news_sm')
-spacy.cli.download('ja_core_news_sm')
-spacy.cli.download('zh_core_web_sm')
-spacy.cli.download("es_core_news_sm")
-spacy.cli.download("de_core_news_sm")
+#nltk.download('maxent_ne_chunker') #Chunker
+#nltk.download('stopwords') #Stop Words List (Mainly Roman Languages)
+#nltk.download('words') #200 000+ Alphabetical order list
+#nltk.download('punkt') #Tokenizer
+#nltk.download('verbnet') #For Description of Verbs
+#nltk.download('omw')
+#nltk.download('omw-1.4') #Multilingual Wordnet
+#nltk.download('wordnet') #For Definitions, Antonyms and Synonyms
+#nltk.download('shakespeare')
+#nltk.download('dolch') #Sight words
+#nltk.download('names') #People Names NER
+#nltk.download('gazetteers') #Location NER
+#nltk.download('opinion_lexicon') #Sentiment words
+#nltk.download('averaged_perceptron_tagger') #Parts of Speech Tagging
+#nltk.download('udhr') # Declaration of Human rights in many languages
+
+
+#spacy.cli.download("en_core_web_sm")
+#spacy.cli.download('ko_core_news_sm')
+#spacy.cli.download('ja_core_news_sm')
+#spacy.cli.download('zh_core_web_sm')
+#spacy.cli.download("es_core_news_sm")
+#spacy.cli.download("de_core_news_sm")
 
 nlp_en = spacy.load("en_core_web_sm")
 nlp_de = spacy.load("de_core_news_sm")
@@ -1252,7 +1252,7 @@ def loadforcopybuttonllmpromptideas():
 
 def display_website(link):
   html = f"<iframe src='{link}' width='100%' height='1000px'></iframe>"
-  #gr.Info("If 404 then the space/page has probably been disabled - normally due to a better alternative")
+  gr.Info("If 404 then the space/page has probably been disabled - normally due to a better alternative")
   return html
 
 def RepititionPracticeTimeCalculator(text, reps_per_item, seconds_per_item):
@@ -1309,6 +1309,10 @@ def segment_video_with_opencv(file_path, segment_duration=60):
 
     return generated_files
 
+def TestSplitandUpdate(Text):
+
+    return f"What does this do again - {Text}", gr.Button("Life is weird and this is cool if it works")
+
 # For testing purposes
 # file_paths = segment_video_with_opencv("path_to_your_video.mp4")
 # print(file_paths)
@@ -1342,7 +1346,7 @@ with gr.Blocks() as lliface: #theme=gr.themes.Glass(primary_hue='green', seconda
     with gr.Accordion("Some prompt ideas", open=False):
         with gr.Accordion("Prompts in text (Manual copy paste)", open=False):
             gr.HTML(LLPromptIdeas)
-        gr.Interface(loadforcopybuttonllmpromptideas, inputs=None, outputs=["html", "text", "text", "text", "text", "text"])
+        gr.Interface(loadforcopybuttonllmpromptideas, inputs=None, outputs=["html", "code", "code", "code", "code", "code"])
     chatspace = gr.HTML("Chat Space Chosen will load here")
     chatspacebtn.click(display_website, inputs=linktochat, outputs=chatspace)
   gr.HTML("<div style='display: flex; justify-content: center; align-items: center; height: 100%;'><a href='https://github.com/KillianLucas/open-interpreter'> -- Open Interpreter = Function Calling Killer = (Almost) All functions are now just prompt engineering away from existing = Modding any app in the world especially games = custom learning environments -- </a> | </div>")
@@ -1374,7 +1378,9 @@ with gr.Blocks() as lliface: #theme=gr.themes.Glass(primary_hue='green', seconda
                 gr.Interface(fn=RepititionPracticeTimeCalculator, inputs=["text", "number", "number"], outputs="text")
     with gr.Column(scale=3): 
         with gr.Tab("Workflows"):
-            gr.HTML("General Ideas in this space - Speed of Learning = Avoid Things you know like the plague -- How to track what you know -- Counter is easiest and How you feel is the hardest (The more you know, the more confusion on what you dont know as you probably werent keeping track) <br><br> Visulisation of long text - Bottom of this page  <br> Wordlist - 1 new word at a time per minute in the space to the left  <br> Youtube Video Watching - Subtitles Tab <br> Reading - Unknown Tracker Tabs <br> Longer Text Memorising - Acronym Map Creation Tab and Transition Tab <br> Brainstorming - Reading Assistant <br> Random Exposure <br> ")
+            with gr.Row():    
+                gr.HTML("<span style:{'fontsize: 20'}>Start at Unkown Tracker if unseure<span> <br> UNNWFWO = Unknown Native Word Foreign Word Order i.e. during active listening practice you only need the words you dont know <br><br> General Ideas in this space - Speed of Learning = Avoid Things you know like the plague -- How to track what you know -- Counter is easiest and How you feel is the hardest (The more you know, the more confusion on what you dont know as you probably werent keeping track) <br><br> Visulisation of long text - Bottom of this page  <br> Wordlist - 1 new word at a time per minute in the space to the left  <br> Youtube Video Watching - Subtitles Tab <br> Reading - Unknown Tracker Tabs <br> Longer Text Memorising - Acronym Map Creation Tab and Transition Tab <br> Brainstorming - Reading Assistant <br> Random Exposure <br> ")
+                gr.Interface(fn=TestSplitandUpdate, inputs="text", outputs=["text", "button"])
             with gr.Row():
                 PracticeExposure = gr.HTML(randomExposuremessage)
                 PracticeExposure2 = gr.HTML(randomExposuremessage2)
@@ -1397,8 +1403,13 @@ with gr.Blocks() as lliface: #theme=gr.themes.Glass(primary_hue='green', seconda
                 with gr.Column(scale=3):
                     imageplaceholderoutput = gr.HTML("Preview will load here")
                 with gr.Column(scale=2):
-                    imageplaceholdertextoutput = gr.TextArea("The code for the HTML created will come here")
+                    imageplaceholdertextoutput = gr.Code("The code for the HTML created will come here")
             imageplaceholderbtn.click(fn=imagebasedreading, inputs=[imageplaceholderinput], outputs=[imageplaceholderdownload, imageplaceholderoutput, imageplaceholdertextoutput])
+        with gr.Tab("Progress Tracking"):
+            gr.Label("Missing is database integration for the counter and non-english - ALSO TODO - Parralell interface for the html and acronym creator")
+            gr.Interface(fn=UnknownTrackTexttoApp, inputs="text", outputs=["file", "html", "text"], description="HTML mini App - UNNWFWO (To track verbs you dont know for listening practice). Use the text from here to create lists you use for the TTS section")
+            gr.Interface(create_acronym_map, inputs='text', outputs=['text', 'text'])
+            gr.HTML("On the Acronyms you need to underline the verbs")
         with gr.Tab("Beginner - Listen + Read"):
             gr.Label("Closed Eye Recital per new word | 1 new word a minute while recycling the words from the previous minutes")
             with gr.Row():
@@ -1435,7 +1446,6 @@ with gr.Blocks() as lliface: #theme=gr.themes.Glass(primary_hue='green', seconda
             gr.Textbox("Placeholder for a function that creates a set list and can takes a list for known words and auto find replaces the stuff you know out of the content")
             gr.Interface(fn=GuidedReading, inputs=["text", guidedreadingseperator], outputs="text", description="Manual POS Tag and Transliteration", examples=textspreprocess)
             gr.HTML("Place holder for a translate to english interface so that highlighting can still work as only english supported for now - <a href='https://translate.google.com/'> -- Google Translate -- </a>")
-            gr.Interface(fn=UnknownTrackTexttoApp, inputs="text", outputs=["file", "html", "text"], description="HTML mini App - UNNWFWO (To track verbs you dont know for listening practice). Use the text from here to create lists you use for the TTS section")
             with gr.Tab("Unique word ID - use in Infranodus"):
                 with gr.Accordion(label="Infranodus", open=False):
                     gr.HTML(" <a href='https://infranodus.com/'> -- Infranodus - Word Level Knowledge graphs -- </a> | <br> Use the below interfaces to find the items that dont have entries --> These will represent new concepts or people which need to be understood individually to fully understand the text --> Infranodus search will help find related and unrelated investigation paths <br><br> TODO Figure Output Zoom / Image Dimensions")
@@ -1464,7 +1474,7 @@ with gr.Blocks() as lliface: #theme=gr.themes.Glass(primary_hue='green', seconda
             gr.HTML("Acronym cant be read with previous attentive reading - accurate measure of known vs unknown")
             with gr.Row():
                 with gr.Accordion('Acronym Map/Skeleton Creator'):
-                    gr.Interface(create_acronym_map, inputs='text', outputs=['text', 'text'])
+                    gr.HTML("Moved to Progress for now")
                 with gr.Accordion('Test with LLM'):
                     gr.Label('Letters are always easier to recall than whole words. GPT 4 and above best suited for this prompt but can test anywhere')
                     gr.HTML('Please help me study by making a acronym map for the maths ontology (Ask if theres questions)')
@@ -1611,7 +1621,9 @@ with gr.Blocks() as lliface: #theme=gr.themes.Glass(primary_hue='green', seconda
                 gr.Interface(fn=onlyplurals, inputs=["text"], outputs=["text"], title="Only plurals = optimal concepts to learn first as work = repitition")
                 gr.Label("Placeholder for old code for concordance and word counting in other test space")    
             with gr.Tab("Video Segmentation with OpenCV Test"):
-                gr.Interface(fn=segment_video_with_opencv, inputs=VideoSplitTestInput, outputs="file")
+                gr.Interface(fn=segment_video_with_opencv, inputs=VideoSplitTestInput, outputs="fileexplorer")
+            with gr.Tab("State Management and Education"):
+                gr.HTML("Education = Learning things you didnt know yesterday and not forgetting more than you learn <br><br> What you didnt know forms = <br> Glossary <br> Lists <br> Formulas <br> graphs <br> Procedures <br> <br> for each you will need a seperate way to track the progress but amount of times + recency = approximate state ")
 
 
 lliface.queue().launch() #(inbrowser="true")