Upload app.py

app.py

@@ -0,0 +1,135 @@
+from __future__ import absolute_import
+from __future__ import division, print_function, unicode_literals
+import flet as ft
+import openai
+from sumy.parsers.html import HtmlParser
+from sumy.parsers.plaintext import PlaintextParser
+from sumy.nlp.tokenizers import Tokenizer
+from sumy.summarizers.lsa import LsaSummarizer as Summarizer
+from sumy.nlp.stemmers import Stemmer
+from sumy.utils import get_stop_words
+import gradio as gr
+
+
+def greet(api_key, name): 
+    
+    def cut_in_half(Text):
+        list= Text.split('.')
+        x=0
+        for y in list:
+            list[x] = str(list[x])+ "."
+            x=x+1
+        lenght = round(len(list)/2)
+        x = 0
+        Basis1 = ""
+        Basis2 = ""
+        while x != lenght:
+            Basis1 = Basis1 + str(list[x])
+            x =x+1
+        
+        while x  != lenght*2-1 :
+            Basis2 = Basis2 + str(list[x])
+            x =x+1
+            
+        Text = [Basis1, Basis2]
+        return Text 
+    def study_notes(Text):
+        lenght = len(Text)
+        if lenght > 20000:
+            print("Over 20000 symboles. To much!")
+        x = 0
+        if lenght > 2200:
+            Text = cut_in_half(Text)
+            lenght = len(Text[0])
+            x=1
+            if lenght > 4000:
+                Text1 = cut_in_half(Text[0])
+                Text2 = cut_in_half(Text[1])
+                Text = Text1 + Text2 
+                x=3
+        else:
+            Text = [Text]
+        return Text, x 
+
+    def flashcards_maker(Text,x):  
+        openai.api_key = api_key     
+        response = openai.Completion.create(
+        model="text-davinci-003",
+        prompt="Please summarize the all important points from the following text and create a set of flashcards using Remnote's formatting. Each flashcard should have a question on the front and the corresponding short answer on the back. You can include additional information, such as definitions and examples, when possible. When you are finished, please provide the full set of flashcards in Remnote's format:\n\n" + Text[x] +"\n\nFlashcard \nQ: \nA: \n\n",
+        temperature=0.7,
+        max_tokens=600,
+        top_p=1,
+        frequency_penalty=0,
+        presence_penalty=0
+        )
+        response1 = str(response["choices"][0]["text"]).replace("\n",":>")
+        return response1
+
+        #response1 = response1.replace(":>:>", "\n ")
+    def flashcards_catorgizer(listsummery, response1,x):
+        response1 = response1.split(":>:>")
+        openai.api_key = api_key
+        for y in response1:
+            response = openai.Completion.create(
+                model="text-davinci-003",
+                prompt="Please give the main concept and the topic and the keywords to the flashcards, \"" + y + "\".\n\n",
+                temperature=0.7,
+                max_tokens=256,
+                top_p=1,
+                frequency_penalty=0,
+                presence_penalty=0
+            )
+            
+            response = (str(response["choices"][0]["text"]).replace("\n\n", "\n"))
+            response = response.split("\n")
+            
+            listsummery = listsummery + response[0] + "\n" + response[1] +"\n   " + response[2]+ "\n      " + response[3]+ "\n" + "         " + y + "\n"
+        
+        return listsummery
+    def summerizer(Text, detail):
+        # Retrieve the input from the input box
+        LANGUAGE = "english"
+        SENTENCES_COUNT = round(len(Text)/(75*detail))
+        
+        if __name__ == "__main__":
+            parser = PlaintextParser.from_string(Text, Tokenizer(LANGUAGE))
+            stemmer = Stemmer(LANGUAGE)
+
+            summarizer = Summarizer(stemmer)
+            summarizer.stop_words = get_stop_words(LANGUAGE)
+            Text = ""
+            for sentence in summarizer(parser.document, SENTENCES_COUNT):
+                Text = Text + str(sentence)
+            
+            return Text
+        
+    
+    Text = name
+    detail = 1
+    
+    if  detail != 1:
+        Text = summerizer(Text, detail)
+    
+    Text, x = study_notes(Text)
+    catorgizer = 2
+
+    while x != -1:
+        response1 = flashcards_maker(Text,x)
+        listsummery = ""
+        if catorgizer == 1:
+            listsummery = flashcards_catorgizer(listsummery,response1,x)
+            
+        else:
+            response1 = response1.replace(":>:>", "\n")
+            listsummery =response1
+            
+        x = x-1
+
+    listsummery = str(listsummery).replace('\n '," \n")
+    out = f"{listsummery}"
+    return out
+    
+
+
+iface = gr.Interface(fn=greet, inputs=["text","text"], outputs="text")
+iface.launch()