test

Author: heyronjmilton

Backend/test.py

@@ -0,0 +1,39 @@
+import openai
+
+# Set up your OpenAI API credentials
+openai.api_key = ""
+
+
+# Define your input parameters
+with open('#define path sorted questions here', 'r') as file:
+    sorted_questions = str(file.read())
+with open('#define path notebook questions here', 'r') as file:
+    notebook_questions = str(file.read())    
+with open('#define path for important topics here', 'r') as file:
+    important_topics = str(file.read())  
+with open('#define path for reference paper here', 'r', encoding='latin-1') as file:
+    reference_paper = str(file.read())            
+    
+    
+# Construct the prompt for question generation
+prompt = f"generate 10 questions that are not in reference paper but similar \nSorted Previous Year Questions:\n{sorted_questions}\n\nNotebook Question List:\n{notebook_questions}\n\nImportant Topics:\n{important_topics}\n\nReference Paper:\n{reference_paper}\n\n"
+
+
+# Generate questions using OpenAI API
+response = openai.Completion.create(
+    engine="davinci",
+    prompt=prompt,
+    max_tokens=1000,  # Adjust the max_tokens value as per your requirement
+    temperature=0.4,  # Adjust the temperature value to control the creativity of the generated questions
+    top_p=1.0,
+    frequency_penalty=0.0,
+    presence_penalty=0.0,
+    n=5  # Adjust the 'n' value to generate more or fewer questions
+)
+
+# Extract the generated questions from the API response
+generated_questions = [choice['text'].strip() for choice in response.choices]
+
+# Print the generated questions
+for i, question in enumerate(generated_questions):
+    print(f"Question {i+1}: {question}")    

Python_Code/Generate_qns.py

@@ -1,7 +1,7 @@
 import openai
 
 # Set up your OpenAI API credentials
-openai.api_key = "##"
+openai.api_key = "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"
 
 
 # Define your input parameters