Update app.py

app.py

@@ -8,9 +8,10 @@ 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
+import csv 
 
 
-def greet(api_key, name): 
+def maker(api_key, mode, input_text,detail,Spend_input_data_API_key_is_not_safed): 
     
     def cut_in_half(Text):
         list= Text.split('.')
@@ -101,16 +102,59 @@ def greet(api_key, name):
                 Text = Text + str(sentence)
             
             return Text
+    def concept_card_maker(api_key, input_text,detail,Spend_input_data_API_key_is_not_safed):
+        concept_name =input_text
+        openai.api_key = api_key
+        response = openai.Completion.create(
+        model="text-davinci-003",
+        prompt="Describe \""+ concept_name + "\" as a concept with the point: name, concepts under it(listed in a list split by a comma), which are the bigger topics above it(listed in a list split by a comma), explanation, formula with a variable explanation if existed, use case, example.\n\nName:",
+        temperature=0.7,
+        max_tokens=800,
+        top_p=1,
+        frequency_penalty=0,
+        presence_penalty=0
+        )
         
+        response = str(response["choices"][0]["text"])
+        response = (response).replace("Formula (if existed): N/A\n\n", "")
+        response = (response).replace("Formula (if existed): N/A\n", "")
+        response = (response).replace("Formula: N/A\n", "")
+        response = (response).replace("\n\n", "#\t\t")
+        response = (response).replace("\n-", ";\t\t-")
+        response = (response).replace("\n", "#\t\t")
+        response = (response).replace(";", "\n")
+        response = (response).replace("#", "\n\n")
+
+        return concept_name + "\tConcept"+"\n\t\tName:" +response    
     
-    Text = name
-    detail = 1
-    
+    Text = input_text
+    if detail == "No summersiation":
+        detail = 1
+    elif detail == "low summersation":
+        detail = 2
+    elif detail == "medium summersation":
+        detail = 6
+    elif detail == "high summersation":
+        detail = 12
+
+    if mode == "flashcards with topics":
+        catorgizer = 1
+    if mode == "flashcards":
+        catorgizer = 0
+    if mode == "concepts cards":
+        with open('\concept_data.csv', 'a', newline='') as csvfile:
+            out = concept_card_maker(api_key, input_text,detail,Spend_input_data_API_key_is_not_safed)
+            if Spend_input_data_API_key_is_not_safed == True:
+                writer = csv.writer(csvfile)
+                writer.writerows([input_text,out])
+            
+        return out
+
     if  detail != 1:
         Text = summerizer(Text, detail)
     
     Text, x = study_notes(Text)
-    catorgizer = 2
+    
 
     while x != -1:
         response1 = flashcards_maker(Text,x)
@@ -126,9 +170,28 @@ def greet(api_key, name):
 
     listsummery = str(listsummery).replace('\n '," \n")
     out = f"{listsummery}"
-    return out
+    if Spend_input_data_API_key_is_not_safed == True:
+        with open('\\flashcard_data.csv', 'a', newline='') as csvfile:
+            writer = csv.writer(csvfile)
+        
+            writer.writerows([input_text,out])
     
+    return out
+  
+
+
+
 
+iface =gr.Interface(fn = maker, allow_flagging= "never", inputs=
+    [
+    gr.Textbox(),
+    gr.Dropdown(["flashcards", "concepts cards", "flashcards with topics"]),
+    gr.Textbox( label = "Input Text", lines=10, placeholder="Enter your text here..."),
+    gr.Dropdown(["No summersiation", "low summersation", "medium summersation", "high summersation"]),
+    gr.Checkbox(value = True)
+    ],
+    outputs = "text", title = "Study cards maker", description= "This tool uses openAI GPT-3 to make study cards for you. This include flashcards, super usefull for Remnotes(reday to copy past). Please use yoru Openai api key. Which you get by sining up at https://beta.openai.com/ "
+)
 
-iface = gr.Interface(fn=greet, inputs=["text","text"], outputs="text")
-iface.launch()
+if __name__ == "__main__":
+    iface.launch()