feat: update gradio version

app.py

@@ -13,7 +13,7 @@ PASS = os.getenv("PASSWORD")
 
 # create an interface and limit output's width for the dataframe bu
 list_iface = gr.Interface(fn=compute_offer,
-            inputs=[gr.File(label="Upload CSV", type="file"),
+            inputs=[gr.File(label="Upload CSV", type="filepath"),
                     gr.Slider(0, 365, value=3, step=1, label="Days", info="Number of days to look back"),
                     gr.Slider(5000, 10000000, value=1000000, step=1, label="Minimum Sent", info="Minimum number of emails sent"),
                     gr.Dropdown(["Comcast", "Yahoo", "Hotmail", "Aol"], value="Yahoo", label="Domain"),
@@ -42,7 +42,7 @@ def plot_df(filename):
 
 
 plt_iface =  gr.Interface(fn=plot_df, 
-                    inputs=gr.File(label="Upload CSV", type="file"), 
+                    inputs=gr.File(label="Upload CSV", type="filepath"), 
                     outputs=gr.Plot())
 
 
@@ -69,8 +69,8 @@ with gr.Blocks() as aeon:
             max_ips.change(fn=update_header, inputs=max_ips, outputs=header_box)
         with gr.Row():
             with gr.Column():
-                gen_cmds_btn = gr.Button(label="Generate Commands")
-                
+                # gen_cmds_btn = gr.Button(label="Generate Commands")
+                gen_cmds_btn = gr.Button("Generate Commands")
             # with gr.Column():
             #     reset_btn = gr.ClearButton(components=[ip_subclasses_raw, num_of_ips, domains_raw])
         with gr.Row():
@@ -107,7 +107,7 @@ with gr.Blocks() as aeon:
 
         with gr.Row():
             with gr.Column():
-                reset_btn = gr.ClearButton(label="Reset", components=[ip_subclasses_raw, domains_raw])
+                reset_btn = gr.ClearButton(value="Reset", components=[ip_subclasses_raw, domains_raw])
             with gr.Column():
                 mix_btn = gr.Button("Mix IPs and Domains")
                 mix_btn.click(fn=mix, inputs=[domains_raw, output_ips, num_of_ips],

requirements.txt

@@ -1,4 +1,4 @@
 python-dotenv
 pandas
-gradio==3.38.0
+gradio==5.4.0
 seaborn