Upload app.py

app.py

@@ -179,7 +179,6 @@ def process_image_and_text(image, text_input, Quick_Input, Language, model, api_
             model=model,
             temperature=1,
         )
-        gr.Info("Vision 模型已完成回答。")
         return zhconv(chat_completion.choices[0].message.content.strip(), "zh-tw")
     except Exception as e:
         error_traceback = traceback.format_exc()
@@ -195,7 +194,7 @@ with gr.Blocks(theme=gr.themes.Monochrome(), css=custom_css) as iface:
     with gr.Row():
         with gr.Column(scale=1):
             image_input = gr.Image(type="pil", label="上傳圖片", elem_classes="image-background")
-            model_select = gr.Dropdown(choices=MODELS, label="選擇 Vision 模型", value=MODELS[0], elem_classes="model-background")
+            model_select = gr.Dropdown(choices=MODELS, label="選擇多模態模型", value=MODELS[0], elem_classes="model-background")
             api_key = gr.Textbox(label="請輸入您的 API Key", type="password", placeholder="API authentication key", elem_classes="api-background")
             clear_button = gr.Button("清除回答及圖片", variant="secondary", elem_classes="clear-button")
             gr.Markdown("""
@@ -203,7 +202,7 @@ with gr.Blocks(theme=gr.themes.Monochrome(), css=custom_css) as iface:
             """, elem_classes="center-aligned")
 
         with gr.Column(scale=1):
-            text_input = gr.Textbox(label="輸入問題", placeholder="請輸入您的問題...", autofocus=True, elem_classes="input-background", max_lines=5)
+            text_input = gr.Textbox(label="請輸入您的問題", placeholder="Enter your question ...", autofocus=True, elem_classes="input-background", max_lines=5)
             with gr.Row():
                 Quick_Input = gr.Dropdown(
                 choices=["自行輸入", "描述圖片", "圖像推理", "圖片文字檢索"],
@@ -220,7 +219,7 @@ with gr.Blocks(theme=gr.themes.Monochrome(), css=custom_css) as iface:
                 elem_classes="lng-background"
                 )
             submit_button = gr.Button("傳送", variant="primary", elem_classes="gen-button")
-            output = gr.Textbox(label="Vision 模型回答", elem_classes="script-background", max_lines=40)
+            output = gr.Textbox(label="模型推理分析結果", elem_classes="script-background", max_lines=40)
 
     submit_button.click(
         fn=process_image_and_text,