Update app.py

app.py

@@ -105,10 +105,12 @@ iface = gr.TabbedInterface([iface_sentence, iface_dataset], ["Sentence", "Datase
 iface.queue().launch()
 """
 
+
 def inference_sentence(text):
     output = "This sentence will be processed:\n" + text
     return output
 
+"""
 def inference_dataset1(input_file):
     output = "output.txt"
     f = open(output, 'w')
@@ -128,7 +130,6 @@ def inference_dataset2(input_file, input_checks):
     else:
         return None
 
-
 def inference_dataset3(input_file, input_checks):
     if "emotion distribution over time" in input_checks:
         return gr.update(value="This option was selected.", visible=True)
@@ -146,6 +147,23 @@ def inference_dataset5(input_file, input_checks):
         return gr.update(value="This option was selected.", visible=True)
     else:
         return gr.update(value="This option was not selected.")
+"""
+
+def file(input_file):
+    output = "output.txt"
+    f = open(output, 'w')
+    f.write("The predictions come here.")
+    f.close()
+    return gr.update(value=output, visible=True)
+
+def file_next(input_file):
+    output = "output.txt"
+    f = open(output, 'w')
+    f.write("The predictions come here.")
+    f.close()
+    return gr.update(value=output, visible=True), gr.update(visible=True) # next_button becomes available
+                
+        
 
 
 with gr.Blocks() as demo:
@@ -177,15 +195,44 @@ with gr.Blocks() as demo:
                 send_btn = gr.Button("Send")
             with gr.Column():
                 output_file = gr.File(label="Predictions", visible=False)
-                next_button1 = gr.Button("Show next output", visible=False)
+                next_button_freq = gr.Button("Next_button freq", visible=False)
+                
                 output_plot = gr.Plot(label="Emotion frequencies", visible=False)
-                next_button2 = gr.Button("Show next output", visible=False)
+                next_button_dist = gr.Button("Next_button dist", visible=False)
+                
                 output_dist = gr.Textbox(label="Emotion distribution over time", visible=False)
-                next_button3 = gr.Button("Show next output", visible=False)
+                next_button_peaks = gr.Button("Next_button peaks", visible=False)
+                
                 output_peaks = gr.Textbox(label="Peaks", visible=False)
-                next_button4 = gr.Button("Show next output", visible=False)
+                next_button_topics = gr.Button("Next_button topics", visible=False)
+                
                 output_topics = gr.Textbox(label="Topics", visible=False)
-        send_btn.click(fn=inference_dataset1, inputs=input_file, outputs=[output_file,next_button1])
+        
+        #send_btn.click(fn=inference_dataset1, inputs=input_file, outputs=[output_file,next_button_freq]) # next_button_freq becomes visible
+        
+        if "emotion frequencies" in input_checks:
+            send_btn.click(fn=file_next, inputs=input_file, outputs=[output_file,next_button_freq]) # next_button_freq becomes visible
+        elif "emotion distribution over time" in input_checks:
+            send_btn.click(fn=file_next, inputs=input_file, outputs=[output_file,next_button_dist]) # next_button_dist becomes visible
+        elif "peaks" in input_checks:
+            send_btn.click(fn=file_next, inputs=input_file, outputs=[output_file,next_button_peaks]) # next_button_peaks becomes visible
+        elif "topics" in input_checks:
+            send_btn.click(fn=file_next, inputs=input_file, outputs=[output_file,next_button_topics]) # next_button_topics becomes visible
+        else:
+            send_btn.click(fn=file, inputs=input_file, outputs=output_file) # no next_button becomes available
+
+        """"
+        if "emotion frequencies" in input_checks:
+            next_button_freq.click(fn=freq_freq, inputs=[output_file,input_checks], outputs=[output_plot,next_button_dist]) # next_button_dist becomes visible
+        else:
+            if "emotion distribution over time" in input_checks:
+                next_button_freq.click(fn=freq_dist, inputs=[output_file,input_checks], outputs=[output_dist,next_peaks]) # nex_button_peaks becomes visible
+            else:
+                if "peaks" in input_checks:
+                    next_button_freq.click(fn=freq_peaks, inputs=[output_file,input_checks], outputs=[output_,next_peaks]) # nex_button_peaks becomes visible
+        """
+
+
         #output_file.change(fn=inference_dataset2, inputs=[input_file,input_checks], outputs=output_plot).then(fn=inference_dataset3, inputs=[input_file,input_checks], outputs=output_dist)
         #output_plot.change(fn=inference_dataset3, inputs=[input_file,input_checks], outputs=output_dist)
         #output_dist.change(fn=inference_dataset4, inputs=[input_file,input_checks], outputs=output_peaks)