added dependencies to requirements.txt and aesthetic in model creation

requirements.txt

@@ -16,3 +16,5 @@ jcamp>=1.2.2
 mkdocs>=1.5.3
 mkdocs-material>=9.5.18
 mkdocstrings[python]>=0.24.3
+mpld3>=0.5.10
+statsmodels>=0.14.2

src/pages/2-model_creation.py

@@ -297,13 +297,13 @@ if not spectra.empty and not y.empty:
                  color_discrete_sequence=px.colors.qualitative.G10)
         fig1.add_shape(type='line', x0 = .95 * min(Reg.cv_data_[2].loc[:,'Measured']), x1 = 1.05 * max(Reg.cv_data_[2].loc[:,'Measured']), y0 = .95 * min(Reg.cv_data_[2].loc[:,'Measured']), y1 = 1.05 * max(Reg.cv_data_[2].loc[:,'Measured']), line = dict(color='black', dash = "dash"))
         fig1.update_traces(marker_size=7, showlegend=False)
-        cv2.plotly_chart(fig1)
+        cv2.plotly_chart(fig1, use_container_width=True)
         fig0 = px.scatter(Reg.cv_data_[2], x ='Measured', y = 'Predicted' , trendline='ols', color='Folds', symbol="Folds", facet_col = 'Folds',facet_col_wrap=1,
                  color_discrete_sequence=px.colors.qualitative.G10, text='index', width=800, height=1000)
         fig0.update_traces(marker_size=8, showlegend=False)
 
         cv1.write('-- Out-of-Fold Predictions Visualization (Separate plots) --')
-        cv1.plotly_chart(fig0)
+        cv1.plotly_chart(fig0, use_container_width=True)
         
         yc = Reg.pred_data_[0]
         yt = Reg.pred_data_[1]