Update comment_analyzer.py

comment_analyzer.py

@@ -1,11 +1,8 @@
 import gradio as gr
 import pandas as pd
-import numpy as np
-from langdetect import detect
 from vaderSentiment.vaderSentiment import SentimentIntensityAnalyzer
 from sklearn.model_selection import train_test_split
 from sklearn.svm import SVR
-from sklearn.metrics import mean_squared_error
 
 
 data = pd.read_csv("modeled_data.csv")
@@ -20,9 +17,6 @@ def sample_model(df, regressor):
     
     model = regressor
     model.fit(X_train, y_train)
-    y_pred = model.predict(X_test)
-    
-    rmse = np.sqrt(mean_squared_error(y_test, y_pred))
     
     return model
 
@@ -67,9 +61,17 @@ with gr.Blocks() as demo:
                     compscore = gr.Number(label="Compound Score")
         
         gr.Examples(
-                     [["Totally enjoyed this course. Learnt whole new dimension of data science and its attributes"], 
-                      ["The bad part of the course is that it doesn't get a person into the logics of some things right away or even doesn't get into them at all."], 
-                      ["Not for the beginners very difficult to understand i gain nothing from this course i watch videos again and again but nothing fits in my mind"]],
+                     [["Not really a basic course. Goes too fast and sometimes the explanations aren't clear. The solutions to the exercises are not explained, and should be. Not much better than the other course I started and didn't finish.(3)"], 
+                      ["Presentation style was bad. Too much detail on the simpler topics, and glossed over some of the more complicated ones.(2)"], 
+                      ["This course is the worst Course i have ever watched (1)"],
+                      ["The course is really great! The didatic in explain all concepts and pratical examples are amazing. Better than brazilian universities.(4)"],
+                      ["The best!!!!!!!!!!(5)"],
+                      ["Excelent description and view. The exercises were prepared very carefully. I suggest it.(5)"],
+                      ["Yes, This course is a very good way to update/ refresh statistical knowledge (2)"],
+                      ["explaination is good but practical examples are not so good (2.5)"],
+                      ["Thanks for content. Good to know and understand the things easily. (3.5)"],
+                      ["good (3)"],
+                      ["The course navigation is very bad ..It is very tedious to navigate the course.(5)"]],
                      [input_comment],
                      [[negscore, neuscore, posscore, compscore, rating]],
                      fn=take_input