Update app.py

app.py

@@ -110,7 +110,6 @@ translations = {
         "progress": "Progress",
         "logs": "Logs",
         "refresh": "🔄 Refresh",
-        "auto_refresh": "Auto-refresh every 5s",
         "export_logs": "📥 Export Logs",
         "language": "Language"
     },
@@ -131,7 +130,6 @@ translations = {
         "progress": "پرمختګ",
         "logs": "لاګونه",
         "refresh": "🔄 تازه کړئ",
-        "auto_refresh": "هر ۵ ثانیې تازه کړئ",
         "export_logs": "📥 لاګونه ډاونلوډ کړئ",
         "language": "ژبه"
     }
@@ -205,73 +203,17 @@ def export_logs():
     buffer = io.StringIO()
     df.to_csv(buffer, index=False)
     buffer.seek(0)
-    return gr.File(file_name="logs.csv", file_obj=io.BytesIO(buffer.getvalue().encode()))
+    return buffer.getvalue()
 
 with gr.Blocks(title="Pashto Base Bloom Trainer", theme="soft") as demo:
     lang_selector = gr.Dropdown(choices=["English", "پښتو"], value="English", label="Language")
     labels = translations["English"]
 
-    def update_labels(lang):
-        return translations[lang]
-
-    lang_selector.change(fn=update_labels, inputs=lang_selector, outputs=[])
-
-    gr.Markdown(lambda: f"# {labels['title']}")
-
     gr.Markdown(f"# {labels['title']}")
 
     with gr.Tab(labels["load_dataset"]):
         gr.Markdown(f"### {labels['load_dataset']}")
         with gr.Row():
             dataset_btn = gr.Button(labels["load_dataset"])
-            dataset_status = gr.Textbox(label=labels["status"], lines=2, interactive=False)
-        dataset_preview = gr.DataFrame(label=labels["preview"], interactive=False)
-        dataset_btn.click(load_hf_dataset, outputs=[dataset_status, dataset_preview])
-
-        gr.Markdown(f"### {labels['upload_file']}")
-        file_upload = gr.File(label=labels["upload_file"])
-        file_upload.change(load_local_dataset, inputs=file_upload, outputs=[dataset_status, dataset_preview])
-
-    with gr.Tab(labels["test"]):
-        with gr.Row():
-            test_input = gr.Textbox(label=labels["test_input"], lines=3)
-            test_btn = gr.Button(labels["test"])
-        test_output = gr.Textbox(label=labels["test_output"], lines=3, interactive=False)
-        test_btn.click(test_model, inputs=test_input, outputs=test_output)
-
-    with gr.Tab(labels["train"]):
-        train_input = gr.Textbox(label=labels["train_data"], lines=6)
-        train_btn = gr.Button(labels["train"])
-        train_output = gr.Textbox(label=labels["status"], lines=2, interactive=False)
-        train_btn.click(train_model, inputs=train_input, outputs=train_output)
-
-    with gr.Tab(labels["finetune"]):
-        finetune_input = gr.Textbox(label=labels["finetune_data"], lines=6)
-        finetune_btn = gr.Button(labels["finetune"])
-        finetune_output = gr.Textbox(label=labels["status"], lines=2, interactive=False)
-        finetune_btn.click(finetune_model, inputs=finetune_input, outputs=finetune_output)
-
-    with gr.Tab(labels["logs"]):
-        with gr.Row():
-            status_box = gr.Textbox(label=labels["current_status"], interactive=False)
-            progress_bar = gr.Slider(minimum=0, maximum=1, value=0, step=0.01, interactive=False, label=labels["progress"])
-        log_output = gr.Textbox(label=labels["logs"], lines=10, interactive=False)
-        refresh_btn = gr.Button(labels["refresh"])
-        auto_refresh = gr.Checkbox(label=labels["auto_refresh"], value=True)
-        export_btn = gr.Button(labels["export_logs"])
-        refresh_btn.click(get_current_status, outputs=[status_box, progress_bar, log_output])
-        export_btn.click(export_logs, outputs=[export_btn])
-
-    def auto_refresh_loop(auto_enabled):
-        if auto_enabled:
-            return get_current_status()
-        else:
-            return gr.update(), gr.update(), gr.update()
-
-    auto_refresh = gr.Checkbox(label=labels["auto_refresh"], value=True)
-    refresh_loop = gr.Button(visible=False)
-    refresh_loop.click(fn=auto_refresh_loop, inputs=auto_refresh, outputs=[status_box, progress_bar, log_output], every=5)
-
-if __name__ == "__main__":
-    demo.launch(share=True)
-
+            dataset_status = gr.Textbox(label=labels["status"], lines=2, interactive
+