Update app.py

app.py

@@ -40,7 +40,7 @@ with gr.Blocks() as bm25:
 
 
             #german = gr.Textbox(label="German Text")
-            def confirmation():
+            def confirmation(file):
                 if file.name.endswith('.csv'):
                     df = pd.read_csv(file)
                 elif file.name.endswith('.xls') or file.name.endswith('.xlsx'):
@@ -57,9 +57,7 @@ with gr.Blocks() as bm25:
                 doc = 'File uploaded! Press Cluster button'
                 return doc  # Return the success message
 
-            def download_doc(doc):
-                return doc
-
+          
             def download_df():
                 df1=state.df
                 print(df1)
@@ -67,7 +65,7 @@ with gr.Blocks() as bm25:
 
             out = gr.Textbox()
             mode=gr.Radio(["Automated clustering", "Manually choose parameters"], label="Type of algorithm", value="Automated clustering",info="Choose any mode u want")
-            inputfile.upload(confirmation,inputs=[],outputs=out)
+            inputfile.upload(confirmation,inputs=[inputfile],outputs=out)
             with gr.Row():
               
                 min_cluster_size=gr.Slider(2, 500, value=5, step=1,label="min_cluster_size", info="Choose minimum No. of docs in a cluster. Lower the value ,higher the clusters created")
@@ -90,10 +88,6 @@ with gr.Blocks() as bm25:
                 gr.Plot(label="Hierarchy"),
                
             ])
-            print('Tuple **************************' ,tup)
-            #[df1, df2, barchart_plot, topics_plot, heatmap_plot, hierarchy_plot] = tup
-
-
             llm_btn = gr.Button(value="AI generation ")
             llm_btn.click(download_df,inputs=[],outputs=gr.Dataframe(label="Output"))