Update mcq.py

mcq.py

@@ -1,147 +1,150 @@
-import requests
-import gradio as gr
-
-from helper import generate_access_token
-
-def generate_mcq_questions(grade, subject, topics, number_of_questions, multiple_answer, single_answer,
-                           easy, medium, hard, remember, understand, apply, analyze, evaluate, create,
-                           hint, curricular_goal, competency, lo, lob, difficulty_level, bloom_taxonomy,
-                           solution_sheet):
-        
-    data = {
-        "institution_id": "string",
-        "teacher_id": "string",
-        "board": "NCERT",
-        "grade": grade,
-        "subject": subject,
-        "topics": topics.split(", "),
-        "number_of_questions": number_of_questions,
-        "question_type_distribution_percentage": {
-            "multiple_answer": multiple_answer,
-            "single_answer": single_answer,
-        },
-        "difficulty_distribution_percentage": {
-            "easy": easy,
-            "medium": medium,
-            "hard": hard
-        },
-        "blooms_taxonomy_distribution_percentage": {
-            "Remember": remember,
-            "Understand": understand,
-            "Apply": apply,
-            "Analyze": analyze,
-            "Evaluate": evaluate,
-            "Create": create
-        },
-        "question_tagging_options": {
-            "Hint": hint,
-            "Curricular_Goal": curricular_goal,
-            "Competency": competency,
-            "LO": lo,
-            "LOB": lob,
-            "Difficulty_level": difficulty_level,
-            "Bloom_Taxonomy": bloom_taxonomy
-        },
-        "solution_sheet": solution_sheet
-    }
-
-    access_token = generate_access_token()
-
-    if access_token is None:
-        return {"Error": "Failed to generate access token"}
-
-    response = requests.post("http://20.193.151.200:8080/v1/k12/generate/mcqs", 
-                             headers={
-                                 "accept": "application/json",
-                                 "content-type": "application/json",
-                                 "Authorization": f"{access_token}"},
-                             json=data)
-    
-    if(str(response.status_code)[0] != '2'):
-        return {"Error": f"{response.status_code}"}
-
-    return response.json()
-
-def get_mcq_questions(request_id):
-
-    access_token = generate_access_token()
-
-    if access_token is None:
-        return {"Error": "Failed to generate access token"}
-
-    url = f"http://20.193.151.200:8080/v1/k12/generate/mcqs/{request_id}"
-    headers = {"accept": "application/json",
-               "Authorization": access_token}
-    
-    response = requests.get(url, headers=headers)
-    
-    if response.status_code == 200:
-        return response.json()
-    else:
-        return {"Error" : f"{response.status_code}"}
-
-def post_interface():
-
-    with gr.Blocks() as post_page:
-        grade = gr.Textbox(label="Grade", value="6")
-        subject = gr.Textbox(label="Subject", value="Science")
-        topics = gr.Textbox(label="Topics (comma-separated)", value="Light")
-        number_of_questions = gr.Number(label="Number of Questions", value=20)
-        
-        multiple_answer = gr.Slider(label="Multiple Answer Questions (%)", minimum=0, maximum=100, value=100)
-        single_answer = gr.Slider(label="Single Answer Questions (%)", minimum=0, maximum=100, value=0)
-        
-        easy = gr.Slider(label="Easy Questions (%)", minimum=0, maximum=100, value=0)
-        medium = gr.Slider(label="Medium Questions (%)", minimum=0, maximum=100, value=0)
-        hard = gr.Slider(label="Hard Questions (%)", minimum=0, maximum=100, value=0)
-        
-        remember = gr.Slider(label="Remember (%)", minimum=0, maximum=100, value=0)
-        understand = gr.Slider(label="Understand (%)", minimum=0, maximum=100, value=0)
-        apply = gr.Slider(label="Apply (%)", minimum=0, maximum=100, value=0)
-        analyze = gr.Slider(label="Analyze (%)", minimum=0, maximum=100, value=0)
-        evaluate = gr.Slider(label="Evaluate (%)", minimum=0, maximum=100, value=0)
-        create = gr.Slider(label="Create (%)", minimum=0, maximum=100, value=0)
-        
-        hint = gr.Radio(label="Hint", choices=["Yes", "No"], value="No")
-        curricular_goal = gr.Radio(label="Curricular Goal", choices=["Yes", "No"], value="No")
-        competency = gr.Radio(label="Competency", choices=["Yes", "No"], value="No")
-        lo = gr.Radio(label="LO", choices=["Yes", "No"], value="No")
-        lob = gr.Radio(label="LOB", choices=["Yes", "No"], value="No")
-        difficulty_level = gr.Radio(label="Difficulty Level", choices=["Yes", "No"], value="No")
-        bloom_taxonomy = gr.Radio(label="Bloom Taxonomy", choices=["Yes", "No"], value="No")
-        
-        solution_sheet = gr.Radio(label="Solution Sheet", choices=["Yes", "No"], value="Yes")
-        
-        submit_button = gr.Button("Invoke Request")
-        
-        submit_button.click(generate_mcq_questions, 
-                            inputs= [grade, subject, topics, number_of_questions, multiple_answer, single_answer,
-                            easy, medium, hard, remember, understand, apply, analyze, evaluate, create,
-                            hint, curricular_goal, competency, lo, lob, difficulty_level, bloom_taxonomy,
-                            solution_sheet],
-                            outputs=gr.JSON())
-        
-    return post_page
-
-def get_interface():
-
-    with gr.Blocks() as get_page:
-
-        interface = gr.Interface(
-            fn=get_mcq_questions, 
-            inputs=gr.Textbox(label="Enter Request ID"), 
-            outputs="json",
-        )
-        
-    return get_page
-
-def mcq_generation():
-    gr.Markdown("# MCQ Generation")
-    with gr.Blocks() as mcq_generation:
-        with gr.Tabs():
-            with gr.TabItem("POST"):
-                post_interface()
-            with gr.TabItem("GET"):
-                get_interface()
-
+import requests
+import gradio as gr
+
+from helper import generate_access_token
+
+def generate_mcq_questions(grade, board, subject, topics, number_of_questions, multiple_answer, single_answer,
+                           easy, medium, hard, remember, understand, apply, analyze, evaluate, create,
+                           hint, curricular_goal, competency, lo, lob, difficulty_level, bloom_taxonomy,
+                           solution_sheet):
+        
+    data = {
+        "institution_id": "string",
+        "teacher_id": "string",
+        "board": board,
+        "grade": grade,
+        "subject": subject,
+        "topics": topics.split(", "),
+        "number_of_questions": number_of_questions,
+        "question_type_distribution_percentage": {
+            "multiple_answer": multiple_answer,
+            "single_answer": single_answer,
+        },
+        "difficulty_distribution_percentage": {
+            "easy": easy,
+            "medium": medium,
+            "hard": hard
+        },
+        "blooms_taxonomy_distribution_percentage": {
+            "Remember": remember,
+            "Understand": understand,
+            "Apply": apply,
+            "Analyze": analyze,
+            "Evaluate": evaluate,
+            "Create": create
+        },
+        "question_tagging_options": {
+            "Hint": hint,
+            "Curricular_Goal": curricular_goal,
+            "Competency": competency,
+            "LO": lo,
+            "LOB": lob,
+            "Difficulty_level": difficulty_level,
+            "Bloom_Taxonomy": bloom_taxonomy
+        },
+        "solution_sheet": solution_sheet
+    }
+
+    print(data)
+
+    access_token = generate_access_token()
+
+    if access_token is None:
+        return {"Error": "Failed to generate access token"}
+
+    response = requests.post("http://20.193.151.200:8080/v1/k12/generate/mcqs", 
+                             headers={
+                                 "accept": "application/json",
+                                 "content-type": "application/json",
+                                 "Authorization": f"{access_token}"},
+                             json=data)
+    
+    if(str(response.status_code)[0] != '2'):
+        return {"Error": f"{response.status_code}"}
+
+    return response.json()
+
+def get_mcq_questions(request_id):
+
+    access_token = generate_access_token()
+
+    if access_token is None:
+        return {"Error": "Failed to generate access token"}
+
+    url = f"http://20.193.151.200:8080/v1/k12/generate/mcqs/{request_id}"
+    headers = {"accept": "application/json",
+               "Authorization": access_token}
+    
+    response = requests.get(url, headers=headers)
+    
+    if response.status_code == 200:
+        return response.json()
+    else:
+        return {"Error" : f"{response.status_code}"}
+
+def post_interface():
+
+    with gr.Blocks() as post_page:
+        grade = gr.Textbox(label="Grade", value="6")
+        board = gr.Textbox(label="Board", value="NCERT")
+        subject = gr.Textbox(label="Subject", value="Science")
+        topics = gr.Textbox(label="Topics (comma-separated)", value="Light")
+        number_of_questions = gr.Number(label="Number of Questions", value=20)
+        
+        multiple_answer = gr.Slider(label="Multiple Answer Questions (%)", minimum=0, maximum=100, value=100)
+        single_answer = gr.Slider(label="Single Answer Questions (%)", minimum=0, maximum=100, value=0)
+        
+        easy = gr.Slider(label="Easy Questions (%)", minimum=0, maximum=100, value=0)
+        medium = gr.Slider(label="Medium Questions (%)", minimum=0, maximum=100, value=0)
+        hard = gr.Slider(label="Hard Questions (%)", minimum=0, maximum=100, value=0)
+        
+        remember = gr.Slider(label="Remember (%)", minimum=0, maximum=100, value=0)
+        understand = gr.Slider(label="Understand (%)", minimum=0, maximum=100, value=0)
+        apply = gr.Slider(label="Apply (%)", minimum=0, maximum=100, value=0)
+        analyze = gr.Slider(label="Analyze (%)", minimum=0, maximum=100, value=0)
+        evaluate = gr.Slider(label="Evaluate (%)", minimum=0, maximum=100, value=0)
+        create = gr.Slider(label="Create (%)", minimum=0, maximum=100, value=0)
+        
+        hint = gr.Radio(label="Hint", choices=["Yes", "No"], value="No")
+        curricular_goal = gr.Radio(label="Curricular Goal", choices=["Yes", "No"], value="No")
+        competency = gr.Radio(label="Competency", choices=["Yes", "No"], value="No")
+        lo = gr.Radio(label="LO", choices=["Yes", "No"], value="No")
+        lob = gr.Radio(label="LOB", choices=["Yes", "No"], value="No")
+        difficulty_level = gr.Radio(label="Difficulty Level", choices=["Yes", "No"], value="No")
+        bloom_taxonomy = gr.Radio(label="Bloom Taxonomy", choices=["Yes", "No"], value="No")
+        
+        solution_sheet = gr.Radio(label="Solution Sheet", choices=["Yes", "No"], value="Yes")
+        
+        submit_button = gr.Button("Invoke Request")
+        
+        submit_button.click(generate_mcq_questions, 
+                            inputs= [grade, board, subject, topics, number_of_questions, multiple_answer, single_answer,
+                            easy, medium, hard, remember, understand, apply, analyze, evaluate, create,
+                            hint, curricular_goal, competency, lo, lob, difficulty_level, bloom_taxonomy,
+                            solution_sheet],
+                            outputs=gr.JSON())
+        
+    return post_page
+
+def get_interface():
+
+    with gr.Blocks() as get_page:
+
+        interface = gr.Interface(
+            fn=get_mcq_questions, 
+            inputs=gr.Textbox(label="Enter Request ID"), 
+            outputs="json",
+        )
+        
+    return get_page
+
+def mcq_generation():
+    gr.Markdown("# MCQ Generation")
+    with gr.Blocks() as mcq_generation:
+        with gr.Tabs():
+            with gr.TabItem("POST"):
+                post_interface()
+            with gr.TabItem("GET"):
+                get_interface()
+
     return mcq_generation