test

app.py

@@ -920,62 +920,61 @@ def append_text_knowledge(file_path: str) -> str:
     return ""
 
 with gr.Blocks() as demo:
-    with gr.Row():
-        # knowledge_textbox = gr.Textbox(
-        #     label="Knowledge Text",
-        #     lines= 20,
-        #     visible=False
-        # )
-        chat_interface = gr.ChatInterface(
-            fn=generate,
-            type="messages",
-            multimodal=True,
-            additional_inputs=[
-                gr.Textbox(label="System prompt", lines=6),
-                gr.Slider(
-                    label="Max new tokens",
-                    minimum=1,
-                    maximum=MAX_MAX_NEW_TOKENS,
-                    step=1,
-                    value=DEFAULT_MAX_NEW_TOKENS,
-                ),
-                gr.Slider(
-                    label="Temperature",
-                    minimum=0.1,
-                    maximum=4.0,
-                    step=0.1,
-                    value=0.6,
-                ),
-                gr.Slider(
-                    label="Top-p (nucleus sampling)",
-                    minimum=0.05,
-                    maximum=1.0,
-                    step=0.05,
-                    value=0.9,
-                ),
-                gr.Slider(
-                    label="Top-k",
-                    minimum=1,
-                    maximum=1000,
-                    step=1,
-                    value=50,
-                ),
-                gr.Slider(
-                    label="Repetition penalty",
-                    minimum=1.0,
-                    maximum=2.0,
-                    step=0.05,
-                    value=1.2,
-                ),
-            ],
-            stop_btn=True,
-            examples=[
-                ["In bullet-points, give me the classes from that Turtle ontology :"]
-            ],
-            cache_examples=False,
-            show_progress="full",
-            run_examples_on_click=False
-        )
+    # knowledge_textbox = gr.Textbox(
+    #     label="Knowledge Text",
+    #     lines= 20,
+    #     visible=False
+    # )
+    chat_interface = gr.ChatInterface(
+        fn=generate,
+        type="messages",
+        multimodal=True,
+        additional_inputs=[
+            gr.Textbox(label="System prompt", lines=6),
+            gr.Slider(
+                label="Max new tokens",
+                minimum=1,
+                maximum=MAX_MAX_NEW_TOKENS,
+                step=1,
+                value=DEFAULT_MAX_NEW_TOKENS,
+            ),
+            gr.Slider(
+                label="Temperature",
+                minimum=0.1,
+                maximum=4.0,
+                step=0.1,
+                value=0.6,
+            ),
+            gr.Slider(
+                label="Top-p (nucleus sampling)",
+                minimum=0.05,
+                maximum=1.0,
+                step=0.05,
+                value=0.9,
+            ),
+            gr.Slider(
+                label="Top-k",
+                minimum=1,
+                maximum=1000,
+                step=1,
+                value=50,
+            ),
+            gr.Slider(
+                label="Repetition penalty",
+                minimum=1.0,
+                maximum=2.0,
+                step=0.05,
+                value=1.2,
+            ),
+        ],
+        stop_btn=True,
+        examples=[
+            ["In bullet-points, give me the classes from that Turtle ontology :"]
+        ],
+        cache_examples=False,
+        show_progress="full",
+        run_examples_on_click=False
+    )
     with gr.Row():
         fe = gr.FileExplorer(
             glob="**/*.txt",