update readme and main.py

README.md

@@ -1,4 +1,15 @@
 ## Problem Description
+The objective of this project are **analyze laptop prices** in 2023 based on data scraped from multiple websites and **predict a product's price** from a given set of input
+
+- **Input**: Brand, CPU, GPU, RAM, Storage,...
+
+- **Output**: Price
+
+- **Demo**:
+[](assets/demo.png)
+
+- **Results**:
+[](assets/result.png)
 
 ## Data
 
@@ -8,8 +19,29 @@
 
 ## Installation
 
-## Contribution
+1. Open terminal and clone the project
+    ```
+    https://github.com/dncq/laptop-prices-analysis.git
+    ```
+
+2. Open terminal and install libraries
+    ```
+    pip install requirements.txt
+    ```
+
+3. Run Streamlit on `/laptop-prices-analysis> `
+    ```
+    streamlit run main.py
+    ```
+
+> [!NOTE]  
+> If you have trouble in install `streamlit` library, you can 
 
+## Contributions
 |Name|Student ID|Email|
-|:-:|:-:|:-:|
-|Dinh Nguyen Cong Quy (C)|20214927|quy.dnc
+|-|:-:|-|
+|Dinh Nguyen Cong Quy (C)|20214927|quy.dnc214927@sis.hust.edu.vn|
+|Le Tuan Anh|20214874|anh.lt214874@sis.hust.edu.vn|
+|Vu Tuan Minh|20210597|minh.vt210597@sis.hust.edu.vn|
+|Bui Minh Quang|20214925|quang.bm214925@sis.hust.edu.vn|
+|Phan Dinh Truong|20214937|truong.pd214937@sis.hust.edu.vn|

main.py

@@ -1,56 +1,10 @@
-import streamlit as st
 
-laptop_config = {
-    'Company': ['Apple', 'Best Notebooks', 'Microsoft', 'GIGABYTE', 'Panasonic', 'Samsung', 'LG', 'MSI',
- 'Asus', 'Acer', 'HP', 'Lenovo',
- 'Dell'],
-    'CPU': ['i5', 'i7', 'Ryzen 5', 'Ryzen 7'],
-    'RAM': ['8GB', '16GB', '32GB'],
-    'GPU': ['Integrated', 'NVIDIA GTX', 'NVIDIA RTX', 'AMD Radeon'],
-    'Storage': ['256GB SSD', '512GB SSD', '1TB HDD', '1TB SSD']
-}
+import sys
+import os
 
-st.title('Are You Sure Prediction')
+path = os.path.abspath(os.path.dirname(__file__))
+sys.path.insert(0, path)
+from src.app.app import gui_app
 
-st.button("Button thoi :)))")
-
-st.caption("#fromhelaricawithluv")
-
-st.checkbox("I am sure vailon!")
-
-st.code('''def answer_tqk(question: str)
-    if question == "Are you sure?":
-        print("I am sure vailon")''')
-
-company = st.selectbox('Brand', laptop_config['Company'])
-cpu = st.selectbox('CPU', laptop_config['CPU'])
-# ram = st.selectbox('RAM', laptop_config['RAM'])
-
-ram = st.select_slider("RAM", options=['4GB', '8GB', '12GB', '16GB', '32GB', '64GB'])
-gpu = st.selectbox('GPU', laptop_config['GPU'])
-storage = st.selectbox('Storage', laptop_config['Storage'])
-
-def predict_price(company, cpu, ram, gpu, storage):
-
-    return 1500000000
-
-
-if st.button('Prediction'):
-    predicted_price = predict_price(company, cpu, ram, gpu, storage)
-
-    st.success(f'{predicted_price} USD')
-
-    st.camera_input('Camera nek')
-
-st.download_button("Download Button", data="main.py")
-st.code('''st.download_button("Download Button", data="str")
-# data la string, khi download ve se thanh file txt chua doan string do''')
-
-with st.form("This is form"):
-    st.write("Ben trong form nek")
-
-    st.slider("Slider nek", 15, 20)
-
-    st.checkbox("Checkbox nek")
-
-    st.form_submit_button("Submit")
+if __name__=='__main__':
+    gui_app()

requirements.txt

@@ -0,0 +1,8 @@
+pandas
+numpy
+matplotlib
+pickle
+sklearn
+streamlit
+seaborn
+fuzzywuzzy

src/app/app.py

@@ -6,10 +6,12 @@
 import sys
 import os
 
+path = os.path.abspath(os.path.dirname(__file__))
+sys.path.insert(0, path)
 from predict_price import *
 from rf_predict_price import *
 
-def main():
+def gui_app():
     st.title("Laptop Price Prediction")
     st.caption("Introduction to Data Science")
 
@@ -138,4 +140,4 @@ def main():
         st.success("0 USD")
 
 if __name__ == '__main__':
-    main()
+    gui_app()