Upload app.py

app.py

@@ -467,23 +467,6 @@ html:not(.dark) #terminal-question-input textarea:focus {
   background: rgba(239,68,68,0.22) !important;
   border-color: rgba(239,68,68,0.55) !important;
 }
-.folder-upload-btn {
-  min-height: 26px !important;
-}
-.folder-upload-btn button,
-.folder-upload-btn .lg,
-.folder-upload-btn .gr-button {
-  min-height: 26px !important;
-  height: 26px !important;
-  padding: 0 10px !important;
-  border-radius: 999px !important;
-  background: rgba(124,92,252,0.10) !important;
-  color: #6C56D9 !important;
-  border: 1px solid rgba(124,92,252,0.20) !important;
-  font-size: 11px !important;
-  font-weight: 600 !important;
-  box-shadow: none !important;
-}
 
 /* ── Section labels above answer / log ──────────────────────────────── */
 .sec-label {
@@ -1326,14 +1309,6 @@ def _uploaded_corpus_signature(uploaded_value: Any) -> str:
     return str(uploaded_value)
 
 
-def _coalesce_uploaded_corpus(folder_value: Any, files_value: Any) -> Any:
-    if folder_value not in (None, "", []):
-        return folder_value
-    if files_value not in (None, "", []):
-        return files_value
-    return None
-
-
 def _copy_uploaded_corpus_files(work_dir: Path, uploaded_files: List[str]) -> None:
     files = [Path(path) for path in uploaded_files if path and os.path.exists(path)]
     if not files:
@@ -2277,7 +2252,6 @@ def build_ui() -> gr.Blocks:
                     model = gr.Dropdown(
                         choices=[
                             ("GPT-5.4 nano", "gpt-5.4-nano"),
-                            ("GPT-5 nano", "gpt-5-nano"),
                         ],
                         value="gpt-5.4-nano",
                         label="Model",
@@ -2305,20 +2279,15 @@ def build_ui() -> gr.Blocks:
                     )
                     uploaded_files = gr.File(
                         label="",
-                        file_count="multiple",
+                        file_count="directory",
+                        visible=False,
+                    )
+                    corpus_hint = gr.HTML(
+                        value='<div style="font-size:10.5px;color:#4E4E72;line-height:1.9;margin-top:8px">'
+                              'Choose a folder here &nbsp;·&nbsp; Max 25 MB total &nbsp;·&nbsp; 5 MB per file'
+                              '</div>',
                         visible=False,
                     )
-                    with gr.Column(visible=False) as folder_hint_row:
-                        corpus_hint = gr.HTML(
-                            value='<div style="font-size:10.5px;color:#4E4E72;line-height:1.9;margin-top:8px">'
-                                  'If you want to upload a folder, click here to choose it. For docs, drag them into the box above.'
-                                  '</div>',
-                        )
-                        uploaded_folder = gr.UploadButton(
-                            "Click here",
-                            file_count="directory",
-                            elem_classes=["folder-upload-btn"],
-                        )
 
                 # Status
                 status_text = gr.Textbox(
@@ -2381,7 +2350,7 @@ def build_ui() -> gr.Blocks:
         corpus_source.change(
             fn=_toggle_upload,
             inputs=[corpus_source],
-            outputs=[uploaded_files, folder_hint_row],
+            outputs=[uploaded_files, corpus_hint],
         )
 
         def clear_all(runtime_state):
@@ -2396,18 +2365,17 @@ def build_ui() -> gr.Blocks:
             outputs=[terminal, terminal_question, status_text, runtime_state, run_btn],
         )
 
-        def _run_with_qa_mode(api_key, question, model, max_turns, corpus_source, uploaded_files, uploaded_folder, runtime_state):
-            uploaded_corpus = _coalesce_uploaded_corpus(uploaded_folder, uploaded_files)
-            yield from run_search(api_key, question, model, max_turns, "QA", corpus_source, uploaded_corpus, runtime_state)
+        def _run_with_qa_mode(api_key, question, model, max_turns, corpus_source, uploaded_files, runtime_state):
+            yield from run_search(api_key, question, model, max_turns, "QA", corpus_source, uploaded_files, runtime_state)
 
         run_event = run_btn.click(
             fn=_run_with_qa_mode,
-            inputs=[api_key, terminal_question, model, max_turns, corpus_source, uploaded_files, uploaded_folder, runtime_state],
+            inputs=[api_key, terminal_question, model, max_turns, corpus_source, uploaded_files, runtime_state],
             outputs=[terminal, status_text, runtime_state, run_btn],
         )
         terminal_question.submit(
             fn=_run_with_qa_mode,
-            inputs=[api_key, terminal_question, model, max_turns, corpus_source, uploaded_files, uploaded_folder, runtime_state],
+            inputs=[api_key, terminal_question, model, max_turns, corpus_source, uploaded_files, runtime_state],
             outputs=[terminal, status_text, runtime_state, run_btn],
         )
         stop_btn.click(fn=None, cancels=[run_event])