Update app.py

app.py

@@ -47,119 +47,23 @@ def generate_caption(image_path, question):
             full_response += token
             yield full_response
 
-
-
 # 创建Gradio界面
-title = "Hunyuan-Vision图生文Demo"
-theme = gr.themes.Soft(
-    primary_hue="teal",
-    secondary_hue="blue",
-    font=[gr.themes.GoogleFont("Noto Sans SC"), "Arial", "sans-serif"]
-)
+title="Hunyuan-Vision图生文Demo"
+with gr.Blocks(title=title) as demo:
+    gr.Markdown(f"# 🖼️ {title}")
+    with gr.Row():
+        with gr.Column():
+            image_input = gr.Image(type="filepath", label="上传图片")
+            question_input = gr.Textbox(label="输入问题", value="请描述图片内容")
+            submit_btn = gr.Button("生成描述")
+        output = gr.Textbox(label="描述结果", interactive=False)
 
-with gr.Blocks(title=title, theme=theme) as demo:
-    # ================= 头部区域 =================
-    gr.Markdown(f"""
-    <div style="text-align: center;">
-        <h1 style="color: #2E86C1; border-bottom: 3px solid #AED6F1; padding-bottom: 10px;">🖼️ {title}</h1>
-        <p style="color: #616A6B;">上传图片并输入问题，体验腾讯混元视觉大模型的图像理解能力</p>
-    </div>
-    """)
-    
-    # ================= 主体区域 =================
-    with gr.Row(variant="panel"):
-        # 左侧输入列
-        with gr.Column(scale=3):
-            with gr.Group(label="输入区域"):
-                image_input = gr.Image(
-                    type="filepath",
-                    label="上传图片",
-                    height=400,
-                    show_download_button=False,
-                    elem_classes="preview-box"
-                )
-                question_input = gr.Textbox(
-                    label="问题描述",
-                    placeholder="请输入关于图片的问题...",
-                    value="请详细描述图片中的场景、人物和细节",
-                    lines=2
-                )
-                with gr.Row():
-                    clear_btn = gr.Button("清空", variant="secondary")
-                    submit_btn = gr.Button("生成描述", variant="primary")
-        
-        # 右侧输出列
-        with gr.Column(scale=4):
-            with gr.Group(label="生成结果"):
-                output = gr.Textbox(
-                    label="描述内容",
-                    interactive=False,
-                    show_copy_button=True,
-                    lines=12,
-                    max_lines=20,
-                    autoscroll=True
-                )
-    
-    # ================= 示例区域 =================
-    with gr.Accordion("🖼️ 点击查看示例", open=False):
-        with gr.Row():
-            gr.Examples(
-                examples=[
-                    ["tencent.png", "图片中的天气状况如何？"],
-                    ["tencent.png", "描述参会人员的衣着特征"]
-                ],
-                inputs=[image_input, question_input],
-                label="快速示例"
-            )
-    
-    # ================= 交互逻辑 =================
     submit_btn.click(
         fn=generate_caption,
         inputs=[image_input, question_input],
-        outputs=output,
-        api_name="generate"
+        outputs=output
     )
-    
-    clear_btn.click(
-        fn=lambda: [None, "", ""],
-        outputs=[image_input, question_input, output],
-        queue=False
-    )
-
-# ================= 自定义样式 =================
-css = """
-.preview-box img {border-radius: 10px; box-shadow: 0 4px 6px rgba(0,0,0,0.1);}
-.preview-box:hover img {transform: scale(1.02);}
-button#generate {transition: all 0.3s ease;}
-"""
-demo.css = css
 
 if __name__ == "__main__":
     demo.queue(default_concurrency_limit=100)
-    demo.launch(
-        server_port=7860,
-        show_error=True,
-        favicon_path="favicon.ico",
-        max_threads=100
-    )
-
-# # 创建Gradio界面
-# title="Hunyuan-Vision图生文Demo"
-# with gr.Blocks(title=title) as demo:
-#     gr.Markdown(f"# 🖼️ {title}")
-#     with gr.Row():
-#         with gr.Column():
-#             image_input = gr.Image(type="filepath", label="上传图片")
-#             question_input = gr.Textbox(label="输入问题", value="请描述图片内容")
-#             submit_btn = gr.Button("生成描述")
-#         output = gr.Textbox(label="描述结果", interactive=False)
-
-#     submit_btn.click(
-#         fn=generate_caption,
-#         inputs=[image_input, question_input],
-#         outputs=output
-#     )
-
-# if __name__ == "__main__":
-#     demo.queue(default_concurrency_limit=100)
-#     demo.launch(max_threads=100)
+    demo.launch(max_threads=100)