add MCQs api

app.py

@@ -1,6 +1,7 @@
 import gradio as gr
 import warnings
 from typing import List
+import json
 from pdfitdown.pdfconversion import convert_to_pdf, convert_markdown_to_pdf
 
 from base_utils import (
@@ -121,6 +122,79 @@ def convert(file: str) -> str:
     return pdfs
 
 
+def parse_MCQs(mcq_string: str) -> List[List[str]]:
+    mcq_string = "[" + mcq_string.split("[", 1)[1]
+    json_data = mcq_string.rsplit("]", 1)[0] + "]"
+    json_data = json.loads(json_data)
+
+
+mcqs_to_json = gr.Interface(
+    parse_MCQs,
+    gr.Textbox(),
+    gr.JSON(),
+    api_name="mcqs_to_json",
+    examples=[
+        [
+            """```json
+        [
+  {
+    "question": "Which of the following best describes the nature of business?",
+    "options": {
+      "A": "It is primarily a non-economic activity",
+      "B": "It involves personal consumption of goods",
+      "C": "It includes regular and continuous transactions for profit",
+      "D": "It excludes exchange of goods and services"
+    },
+    "answer": "C"
+  },
+  {
+    "question": "According to the document, what is a primary objective of business under economic objectives?",
+    "options": {
+      "A": "Employee welfare",
+      "B": "Profit earning",
+      "C": "Creating entertainment content",
+      "D": "Reducing government involvement"
+    },
+    "answer": "B"
+  },
+  {
+    "question": "Which of the following is a component of commerce?",
+    "options": {
+      "A": "Mining",
+      "B": "Manufacturing",
+      "C": "Warehousing",
+      "D": "Farming"
+    },
+    "answer": "C"
+  },
+  {
+    "question": "What is an example of a synthetic manufacturing industry?",
+    "options": {
+      "A": "Oil refining",
+      "B": "Textile processing",
+      "C": "Soap production",
+      "D": "Watch assembly"
+    },
+    "answer": "C"
+  },
+  {
+    "question": "Which aid to trade helps in overcoming the hindrance of knowledge in commerce?",
+    "options": {
+      "A": "Banking",
+      "B": "Insurance",
+      "C": "Advertising",
+      "D": "Warehousing"
+    },
+    "answer": "C"
+  }
+]
+```
+"""
+        ]
+    ],
+    cache_examples=False,
+)
+
 pdf_converter = gr.Interface(
     fn=convert,
     inputs=gr.File(label="Upload your file"),
@@ -140,6 +214,7 @@ demo = gr.TabbedInterface(
         pptx_to_text,
         url_parser,
         str_to_json,
+        mcqs_to_json,
         pdf_converter,
     ],
     [
@@ -151,6 +226,7 @@ demo = gr.TabbedInterface(
         "Extract PPTX Text",
         "Extract text from URL",
         "Extract Json",
+        "Parse MCQs",
         "Convert to PDF",
     ],
 )