Update app.py

app.py

@@ -234,7 +234,7 @@ def process_and_compare(file1, sheet1, file2, sheet2):
     plt.savefig(file_path, format='png', bbox_inches='tight')
     plt.close()
 
-    return file_path, gr.update(choices=stored_df1.Country.values.tolist()), gr.update(choices=stored_df2.Country.values.tolist())
+    return merged_df, f'Histogram of Difference between Adverse cumulative growth of {year2} and {year1} for {sheet1}', gr.update(choices=stored_df1.Country.values.tolist()), gr.update(choices=stored_df2.Country.values.tolist())
 
 def find_sentences_with_keywords(text, keywords):
     # Split text into sentences using regular expression to match sentence-ending punctuation
@@ -554,8 +554,14 @@ with gr.Blocks(theme='gradio/soft',js=js_func) as demo:
                 sheet = gr.Dropdown(choices=["GDP", "HICP", "RRE prices", "Unemployment", "CRE prices"], label="Select Sheet for File 1 and 2")
             
             with gr.Column():
-                result = gr.Image(label="Comparison pLot")
-        
+                #result = gr.Image(label="Comparison pLot")
+                result = gr.BarPlot(
+                        pd.DataFrame(columns=["Country", "Difference adverse cumulative growth"]),
+                        x="Country",
+                        y="Difference adverse cumulative growth",
+                        color="Country",
+                        x_bin=1,
+                    )
         def update_sheets(file):
             return get_sheet_names(file)
         
@@ -587,7 +593,7 @@ with gr.Blocks(theme='gradio/soft',js=js_func) as demo:
                                  inputs=[country_2_dropdown, sheet],
                                  outputs=text_result_df2)
         # Button to extract text from PDFs and perform sentiment analysis
-        b1.click(fn=process_and_compare, inputs=[file1, sheet, file2, sheet], outputs=[result,country_1_dropdown, country_2_dropdown])
+        b1.click(fn=process_and_compare, inputs=[file1, sheet, file2, sheet], outputs=[result, result.title,country_1_dropdown, country_2_dropdown])
         b2.click(fn=process_pdfs_and_analyze_sentiment, inputs=[file1, file2, sheet], outputs=[sentiment_results_pdf1, sentiment_results_pdf2])