Update app.py

app.py

@@ -110,29 +110,48 @@ def generate_report(file, type):
     temp_file3.write(contents.encode('utf-8'))
     temp_file3.close()
     try:
-        #AUTOVIZ
-        AV = AutoViz_Class()
-    
-        dfviz = AV.AutoViz(
-        "",
-        sep=",",
-        depVar="",
-        dfte=df,
-        header=0,
-        verbose=2,
-        lowess=False,
-        chart_format="html",
-        max_rows_analyzed=500,
-        max_cols_analyzed=20,
-        save_plot_dir="plots"
-        )
+        df=AV.AutoViz('/content/insurance.csv')
+        dft = AV.AutoViz(filename="", sep=',', dfte=df, header=0, verbose=1,
+                        lowess=False,chart_format='html',max_rows_analyzed=150000,
+                         max_cols_analyzed=30,save_plot_dir="plots_html")
+        dft = AV.AutoViz(filename='/content/insurance.csv', sep=',', header=0, verbose=2,
+                      lowess=False,chart_format='png',max_rows_analyzed=150000,
+                      max_cols_analyzed=30,save_plot_dir="plots")
+
     except Exception as e:
         dfviz=df
         print(e)
         print('Exception during Autoviz')
 
-    
-    
+    reports = []
+    output_dir_html='plots_html/AutoViz'
+    for filename in os.listdir(output_dir_html):
+        if filename.endswith(".html"):
+            title = os.path.splitext(filename)[0]  # Extract title from filename (without extension)
+            reports.append(title)
+            reports.append(output_dir_html+'/'+filename)
+    imgs = []
+    output_dir_img='plots/Autoviz'
+    for filename in os.listdir(output_dir_img):
+        if filename.endswith(".png"):
+            title = os.path.splitext(filename)[0]  # Extract title from filename (without extension)
+            imgs.append(title)
+            imgs.append(output_dir_img+'/'+filename)
+    while len(reports)<10:
+          # Comparing the lengths and appending t and m to output if needed
+
+          t = gr.Markdown(visible=False)
+          m = gr.File(visible=False)
+          reports.append(t)
+          reports.append(m)
+          
+    while len(imgs)<10:
+          # Comparing the lengths and appending t and m to output if needed
+    
+          t = gr.Markdown(visible=False)
+          m = gr.Image(visible=False)
+          imgs.append(t)
+          imgs.append(m)   
    
     dfs = DataFrameSummary(df)
     sd=dfs.summary()
@@ -150,7 +169,7 @@ def generate_report(file, type):
 
 
     
-    return temp_file1.name  ,temp_file3.name ,variable_table(df),dfviz,sd1
+    return temp_file1.name  ,temp_file3.name ,variable_table(df),dfviz,sd1,reports+imgs
     
 def handle_click(file, sheet_name):
               
@@ -198,8 +217,37 @@ with gr.Blocks() as cluster:
             gr.HTML(value="""<h2 style="color: #BA4A00; text-shadow: 1px 1px 2px #ddd;"COLUMNS STATS AND ANALYSIS</h2>""")
             #gr.Markdown("#Columns Analysis")
             dataframe2=gr.Dataframe()
-    
-    btn.click(handle_click, inputs=[file, sheet_dropdown], outputs=[out1, out2, var, dataframe1, dataframe2])
+            
+        #Autoviz insights graphs
+        with gr.Column():
+        gr.HTML(value="""<h1 style="color: #1999FF; text-shadow: 1px 1px 2px #ddd;">EXCEL ANALYSIS AND INSIGHTS</h1>""")
+        with gr.Row():
+            file = gr.File(file_types=['.csv', '.xlsx'], label="Upload a CSV or Excel file")
+            btn = gr.Button("Download Report")
+            # AutoViz report display section
+            #autoviz_reports = gr.Column()
+        gr.HTML(value="""<h3 style="color: #1999FF; text-shadow: 1px 1px 2px #ddd;">Insight Visualisations</h3>""")
+        with gr.Column():
+          plots2 = []
+          for i in range(5):
+              t = gr.Markdown()
+              with gr.Column(scale=1):
+                m=gr.Image()
+                plots2.append(t)
+                plots2.append(m)
+                print(type(plots1[0]))
+        gr.HTML(value="""<h3 style="color: #1999FF; text-shadow: 1px 1px 2px #ddd;">Insight graphs</h3>""")
+        with gr.Row():           
+          plots1 = []
+          for i in range(5):
+            with gr.Row():
+              t = gr.Markdown()
+              m=gr.File()
+              plots1.append(t)
+              plots1.append(m)
+              print(type(plots1[0]))
+    
+    btn.click(handle_click, inputs=[file, sheet_dropdown], outputs=[out1, out2, var, dataframe1, dataframe2,plots1+plots2])
     file.change(update_sheets, inputs=file, outputs=sheet_dropdown) 
     #btn.click(generate_report,inputs=[file],outputs=[out1,out2,var,dataframe1,dataframe2])
 cluster.launch()