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README.md

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-# VayuBuddy Question Curation
-
-## 🎯 Aim
-The purpose to create this templet is to have the automated interface to collect and manage data analytic questions for VayuBuddy
-
-## 📂 Folder Structure
-
-The project is organized as follows:
-
-```bash
-project_root/
-│── app.py                         # Main Streamlit application
-│── requirements.txt               # Dependencies list
-│── README.md                      # Documentation
-│
-├── data/
-│   ├── questions/                 # Stores question-related data
-│   │   ├── 0/                     # Folder for question ID 0
-│   │   │   ├── question.txt       # Question text
-│   │   │   ├── answer.txt         # Answer text
-│   │   │   ├── code.py            # Reference code for the question
-│   │   │   └── metadata.json      # Metadata for the question
-│   │   ├── 1/                     # Folder for question ID 1
-│   │   │   ├── question.txt       # Question text
-│   │   │   ├── answer.txt         # Answer text
-│   │   │   ├── code.py            # Reference code for the question
-│   │   │   └── metadata.json      # Metadata for the question
-│   ... ... ...                    # and so on...
-│   │   ... ...
-│   │
-│   └── raw_data/                  # Stores the required CSV's
-│       ├── NCAP_Funding.csv       # NCAP Funding Data
-│       ├── State.csv              # States area & population Data
-│       └── Data.csv               # Main AQI Data
-│
-├── pages/                         # Streamlit multipage support
-│   ├── all_question.py            # Page to view questions
-│   ├── execute_code.py            # Page to run the code of all questions
-│   ├── add_question.py            # Page to add new questions
-│   ├── edit_question.py           # Page to edit existing questions
-│   └── delete_question.py         # Page to delete questions
-│
-├── utils/                         # Utility functions
-│   ├── load_jsonl.py              # Function to load questions a list
-│   ├── data_to_jsonl.py           # Function to convert question folders into JSONL 
-│   ├── jsonl_to_data.py           # Function to convert JSONL into question folders 
-│   └── code_services.py           # Handles code formatting & execution
-│
-└── output.jsonl                   # Processed question data in JSONL format
-```
-
-This structure ensures **modularity** and **maintainability** of the project. 🚀
-
-
-## 📜 How to use this App
-
-- Add questions through ```Add Questions``` Page
-- Edit questions through ```Edit Questions``` Page
-- Delete questions through ```Delete Questions``` Page
-- The Data will not be saved in-case of missing fields or error in code
-
-### ```NOTE```
-- while entering Data form code.py in ```Add Questions``` Page or ```Edit Questions``` Page either follow the ```true_code format``` i.e. all code written in the true_code function and true_code function called in the end of it's defination or follow ```No true_code format```
-
-#### true_code format
-```python
-def true_code():
-    import pandas as pd
-    
-    df = pd.read_csv('data/raw_data/Data.csv', sep=",")
-    
-    data = df.groupby(['state','station'])['PM2.5'].mean()
-    ans = data.idxmax()[0]
-    print(ans)
-
-true_code()
-```
-
-#### No true_code format
-```python
-import pandas as pd
-
-df = pd.read_csv('data/raw_data/Data.csv', sep=",")
-
-data = df.groupby(['state','station'])['PM2.5'].mean()
-ans = data.idxmax()[0]
-print(ans)
-```
-
-## 🧩 Sample Question
-
-### question.txt
-```bash
-Which state has the highest average PM2.5 concentration across all stations?
-```
-
-### answer.txt
-```bash
-Delhi
-```
-
-### code.py
-```python
-def true_code():
-    import pandas as pd
-    
-    df = pd.read_csv('data/raw_data/Data.csv', sep=",")
-    
-    data = df.groupby(['state','station'])['PM2.5'].mean()
-    ans = data.idxmax()[0]
-    print(ans)
-
-true_code()
-```
-
-### metadata.json
-```json
-{
-    "question_id": 0,
-    "category": "spatial",
-    "answer_category": "single",
-    "plot": false,
-    "libraries": [
-        "pandas"
-    ]
-}
-```
-
-
-## 🛠️ How to Set-Up project
-
-open the terminal in the empty folder and follow the following steps:
-
-### 1st step : clone repo
-```bash
-git clone https://github.com/ratnesh003/VayuBuddy-Question-Curation.git .
-```
-
-### 2rd step : to install the dependencies to run the codes
-```bash
-pip install -r requirements.txt
-```
-
-### 3nd step : to create dummy /data folder from already present output.jsonl
-```bash
-py .\utils\jsonl_to_data.py 
-```
+---
+title: VayuBuddy Question And Answer
+emoji: 🚀
+colorFrom: pink
+colorTo: red
+sdk: streamlit
+sdk_version: 1.42.0
+app_file: app.py
+pinned: false
+short_description: This is a streamlit app to create the collection of Question
+---