Update app.py

app.py

@@ -1,241 +1,4 @@
 
-# ##############??????????????????????????????
-# import pandas as pd
-# import json
-# import gradio as gr
-# from pathlib import Path
-# from ragatouille import RAGPretrainedModel
-# from gradio_client import Client
-# from jinja2 import Environment, FileSystemLoader
-# from tempfile import NamedTemporaryFile
-
-# VECTOR_COLUMN_NAME = "vector"
-# TEXT_COLUMN_NAME = "text"
-# #proj_dir = Path(__file__).parent
-# proj_dir = Path.cwd() 
-# # Setting up the logging
-# import logging
-# logging.basicConfig(level=logging.INFO)
-# logger = logging.getLogger(__name__)
-
-# # Replace Mixtral client with Qwen Client
-# client = Client("Qwen/Qwen1.5-110B-Chat-demo")
-
-# # Set up the template environment with the templates directory
-# env = Environment(loader=FileSystemLoader(proj_dir / 'templates'))
-
-# # Load the templates directly from the environment
-# template = env.get_template('template.j2')
-# template_html = env.get_template('template_html.j2')
-
-# def system_instructions(question_difficulty, topic, documents_str):
-#     return f"""<s> [INST] You are a great teacher and your task is to create 10 questions with 4 choices with {question_difficulty} difficulty about the topic request "{topic}" only from the below given documents, {documents_str}. Then create answers. Index in JSON format, the questions as "Q#":"" to "Q#":"", the four choices as "Q#:C1":"" to "Q#:C4":"", and the answers as "A#":"Q#:C#" to "A#":"Q#:C#". example is 'A10':'Q10:C3' [/INST]"""
-
-# # RA
-# RAG_db = gr.State()
-
-# def json_to_excel(output_json):
-#     # Initialize list for DataFrame
-#     data = []
-#     gr.Warning('Generating Shareable file link..',duration=30)
-#     for i in range(1, 11):  # Assuming there are 10 questions
-#         question_key = f"Q{i}"
-#         answer_key = f"A{i}"
-
-#         question = output_json.get(question_key, '')
-#         correct_answer_key = output_json.get(answer_key, '')
-#         correct_answer = correct_answer_key.split(':')[-1] if correct_answer_key else ''
-        
-#         # Extract options
-#         option_keys = [f"{question_key}:C{i}" for i in range(1, 6)]
-#         options = [output_json.get(key, '') for key in option_keys]
-        
-#         # Add data row
-#         data.append([
-#             question,                     # Question Text
-#             "Multiple Choice",            # Question Type
-#             options[0],                   # Option 1
-#             options[1],                   # Option 2
-#             options[2] if len(options) > 2 else '',  # Option 3
-#             options[3] if len(options) > 3 else '',  # Option 4
-#             options[4] if len(options) > 4 else '',  # Option 5
-#             correct_answer,               # Correct Answer
-#             30,                           # Time in seconds
-#             ''                            # Image Link
-#         ])
-
-#     # Create DataFrame
-#     df = pd.DataFrame(data, columns=[
-#         "Question Text",
-#         "Question Type",
-#         "Option 1",
-#         "Option 2",
-#         "Option 3",
-#         "Option 4",
-#         "Option 5",
-#         "Correct Answer",
-#         "Time in seconds",
-#         "Image Link"
-#     ])
-#     # Create a temporary file and save the DataFrame to it
-#     temp_file = NamedTemporaryFile(delete=False, suffix=".xlsx")
-#     df.to_excel(temp_file.name, index=False)
-
-#     # # Save to Excel file
-#     # excel_path = proj_dir / "quiz_questions.xlsx"
-#     # df.to_excel(str(excel_path), index=False)
-#     return temp_file.name
-
-# with gr.Blocks(title="Quiz Maker", theme=gr.themes.Default(primary_hue="green", secondary_hue="green"), css="style.css") as QUIZBOT:
-#     def load_model():
-#         RAG = RAGPretrainedModel.from_pretrained("colbert-ir/colbertv2.0")
-#         RAG_db.value = RAG.from_index('.ragatouille/colbert/indexes/cbseclass10index')
-#         return 'Ready to Go!!'
-
-#     with gr.Column(scale=4):
-#         gr.HTML("""
-#         <center>
-#             <h1><span style="color: purple;">ADWITIYA</span> Customs Manual Quizbot</h1>
-#             <h2>Generative AI-powered Capacity building for Training Officers</h2>
-#             <i>⚠️ NACIN Faculties create quiz from any topic dynamically for classroom evaluation after their sessions ! ⚠️</i>
-#         </center>
-#         """)
-
-#     with gr.Column(scale=2):
-#         load_btn = gr.Button("Click to Load!🚀")
-#         load_text = gr.Textbox()
-#         load_btn.click(load_model, [], load_text)
-
-#     topic = gr.Textbox(label="Enter the Topic for Quiz", placeholder="Write any topic/details from Customs Manual")
-
-#     with gr.Row():
-#         radio = gr.Radio(["easy", "average", "hard"], label="How difficult should the quiz be?")
-
-#     generate_quiz_btn = gr.Button("Generate Quiz!🚀")
-#     quiz_msg = gr.Textbox()
-
-#     question_radios = [gr.Radio(visible=False) for _ in range(10)]
-
-#     #@gr.dependencies.GPU
-#     @generate_quiz_btn.click(inputs=[radio, topic], outputs=[quiz_msg] + question_radios + [gr.File(label="Download Excel")], api_name="generate_quiz")
-#     def generate_quiz(question_difficulty, topic):
-#         top_k_rank = 10
-#         RAG_db_ = RAG_db.value
-#         documents_full = RAG_db_.search(topic, k=top_k_rank)
-
-#         gr.Warning('Generation of Quiz may take 1 to 2 minutes. Please wait.',duration=60)
-
-#         question_radio_list = []
-#         excel_file = None
-
-#         count = 0
-#         while count <= 3:
-#             try:
-#                 documents = [item['content'] for item in documents_full]
-#                 document_summaries = [f"[DOCUMENT {i + 1}]: {summary}{count}" for i, summary in enumerate(documents)]
-#                 documents_str = '\n'.join(document_summaries)
-#                 formatted_prompt = system_instructions(question_difficulty, topic, documents_str)
-                
-#                 print(formatted_prompt)
-
-#                 # Use Qwen Client for quiz generation
-#                 response = client.predict(
-#                     query=formatted_prompt,
-#                     history=[],
-#                     system="You are a helpful assistant.", 
-#                     api_name="/model_chat"
-#                 )
-#                 print(response)
-#                 response1 = response[1][0][1]
-
-#                 # Find the first and last curly braces
-#                 start_index = response1.find('{')
-#                 end_index = response1.rfind('}')
-                
-#                 # Extract only the JSON part
-#                 if start_index != -1 and end_index != -1:
-#                     cleaned_response = response1[start_index:end_index + 1]
-                
-#                     # Try parsing the cleaned JSON
-#                     try:
-#                         output_json = json.loads(cleaned_response)
-#                         print('Parsed JSON:', output_json) 
-#                         global quiz_data
-#                         quiz_data = output_json
-
-#                         # Generate the Excel file
-#                         excel_file = json_to_excel(output_json)
-
-#                         for question_num in range(1, 11):
-#                             question_key = f"Q{question_num}"
-#                             answer_key = f"A{question_num}"
-
-#                             question = quiz_data.get(question_key)
-#                             answer = quiz_data.get(quiz_data.get(answer_key))
-
-#                             if not question or not answer:
-#                                 continue
-
-#                             choice_keys = [f"{question_key}:C{i}" for i in range(1, 5)]
-#                             choice_list = [quiz_data.get(choice_key, "Choice not found") for choice_key in choice_keys]
-
-#                             radio = gr.Radio(choices=choice_list, label=question, visible=True, interactive=True)
-#                             question_radio_list.append(radio)
-#                         print('question_radio_list', question_radio_list)
-
-#                         if len(question_radio_list) == 10:
-#                             break
-#                         else:
-#                             print('10 questions not generated. Trying again!')
-#                             count += 1
-#                             continue
-#                     except json.JSONDecodeError as e:
-#                         print(f"Failed to decode JSON: {e}")
-#                 else:
-#                     print("No valid JSON found in the response.")
-                  
-#             except Exception as e:
-#                 count += 1
-#                 print(f"Exception occurred: {e}")
-#                 if count == 3:
-#                     print('Retry exhausted')
-#                     gr.Warning('Sorry. Please try with another topic!')
-#                 else:
-#                     print(f"Trying again.. {count} time... please wait")
-#                     continue
-
-#         return ['Quiz Generated!'] + question_radio_list + [excel_file]
-
-#     check_button = gr.Button("Check Score")
-#     score_textbox = gr.Markdown()
-
-#     @check_button.click(inputs=question_radios, outputs=score_textbox)
-#     def compare_answers(*user_answers):
-#         user_answer_list = list(user_answers)
-#         answers_list = []
-
-#         for question_num in range(1, 20):
-#             answer_key = f"A{question_num}"
-#             answer = quiz_data.get(quiz_data.get(answer_key))
-#             if not answer:
-#                 break
-#             answers_list.append(answer)
-
-#         score = sum(1 for item in user_answer_list if item in answers_list)
-
-#         if score > 7:
-#             message = f"### Excellent! You got {score} out of 10!"
-#         elif score > 5:
-#             message = f"### Good! You got {score} out of 10!"
-#         else:
-#             message = f"### You got {score} out of 10! Don't worry. You can prepare well and try better next time!"
-
-#         return message
-
-# QUIZBOT.queue()
-# QUIZBOT.launch(debug=True)
-
-#?????????????????????????????????
 import pandas as pd
 import json
 import gradio as gr
@@ -317,6 +80,7 @@ def json_to_excel(output_json):
     return temp_file.name
 
 with gr.Blocks(title="Quiz Maker", theme=gr.themes.Default(primary_hue="green", secondary_hue="green")) as QUIZBOT:
+    
     with gr.Column(scale=4):
         gr.HTML("""
         <center>
@@ -325,6 +89,8 @@ with gr.Blocks(title="Quiz Maker", theme=gr.themes.Default(primary_hue="green",
             <i>⚠️ NACIN Faculties create quiz from any topic dynamically for classroom evaluation after their sessions ! ⚠️</i>
         </center>
         """)
+    with gr.Column(scale=3):
+        gr.Image(value='logo.png', height=200, width=200)
     
     topic = gr.Textbox(label="Enter the Topic for Quiz", placeholder="Write any topic/details from Customs Manual")