Update app.py

app.py

@@ -51,8 +51,10 @@ def export_file(data: typing.Dict[str, typing.Any]) -> typing.Optional[str]:
     """워크플로우를 JSON 파일로 내보내기"""
     if not data:
         return None
-    fd, path = tempfile.mkstemp(suffix=".json", prefix="workflow_")
+    
     try:
+        # 임시 파일 생성
+        fd, path = tempfile.mkstemp(suffix=".json", prefix="workflow_", text=True)
         with os.fdopen(fd, "w", encoding="utf-8") as f:
             json.dump(data, f, ensure_ascii=False, indent=2)
         return path
@@ -848,6 +850,11 @@ CSS = """
     display:grid;grid-template-columns:1fr 1fr;gap:0.5rem;
     margin-top:0.5rem;
 }
+.deploy-section{
+    background:linear-gradient(135deg,#fef3c7 0%,#fde68a 100%);
+    padding:24px;border-radius:12px;margin:24px 0;
+    border:1px solid #fbbf24;
+}
 """
 
 # -------------------------------------------------------------------
@@ -878,6 +885,7 @@ with gr.Blocks(title="🐭 MOUSE Workflow", theme=gr.themes.Soft(), css=CSS) as
             **Libraries:**
             - OpenAI: {'✅ Installed' if OPENAI_AVAILABLE else '❌ Not installed'}
             - Requests: {'✅ Installed' if REQUESTS_AVAILABLE else '❌ Not installed'}
+            - Hugging Face Hub: {'✅ Installed' if HF_HUB_AVAILABLE else '❌ Not installed (needed for deployment)'}
             
             **Available Models:**
             - OpenAI: gpt-4.1-mini (fixed)
@@ -957,7 +965,62 @@ with gr.Blocks(title="🐭 MOUSE Workflow", theme=gr.themes.Soft(), css=CSS) as
                 )
             with gr.Column(scale=1):
                 btn_preview = gr.Button("👁️ Preview JSON", size="lg")
-                btn_download = gr.DownloadButton("💾 Download JSON", size="lg")
+                btn_download = gr.DownloadButton(
+                    "💾 Download JSON", 
+                    size="lg",
+                    visible=True
+                )
+        
+        # ─── Deploy Section ───
+        with gr.Accordion("🚀 Deploy to Hugging Face Space", open=False, elem_classes=["deploy-section"]):
+            gr.Markdown("""
+            Deploy your workflow as an independent Hugging Face Space app. 
+            This will create a standalone application that anyone can use without the workflow builder.
+            """)
+            
+            with gr.Row():
+                with gr.Column(scale=2):
+                    deploy_name = gr.Textbox(
+                        label="App Name",
+                        placeholder="My Awesome Workflow App",
+                        value="My Workflow App"
+                    )
+                    deploy_description = gr.Textbox(
+                        label="App Description",
+                        placeholder="Describe what your workflow does...",
+                        lines=3,
+                        value="A workflow application created with MOUSE Workflow builder."
+                    )
+                    deploy_space_name = gr.Textbox(
+                        label="Space Name (your-username/space-name)",
+                        placeholder="username/my-workflow-app",
+                        info="This will be the URL of your Space"
+                    )
+                    
+                with gr.Column(scale=1):
+                    deploy_token = gr.Textbox(
+                        label="Hugging Face Token",
+                        type="password",
+                        placeholder="hf_...",
+                        info="Get your token from huggingface.co/settings/tokens"
+                    )
+                    deploy_private = gr.Checkbox(
+                        label="Make Space Private",
+                        value=False
+                    )
+                    
+                    btn_deploy = gr.Button("🚀 Deploy to HF Space", variant="primary", size="lg")
+                    
+                    # Deploy status
+                    deploy_status = gr.Markdown("")
+            
+            # Preview generated code
+            with gr.Accordion("📄 Preview Generated Code", open=False):
+                generated_code_preview = gr.Code(
+                    language="python",
+                    label="app.py (This will be deployed)",
+                    lines=20
+                )
         
         # ─── UI Execution Section ───
         with gr.Column(elem_classes=["ui-execution-section"]):
@@ -1182,9 +1245,17 @@ with gr.Blocks(title="🐭 MOUSE Workflow", theme=gr.themes.Soft(), css=CSS) as
         )
         
         # Download workflow
-        btn_download.click(
-            fn=export_file,
-            inputs=loaded_data
+        def prepare_download(data):
+            """다운로드를 위한 파일 준비"""
+            if not data:
+                return None
+            return export_file(data)
+        
+        # Download 버튼에 파일 연결
+        loaded_data.change(
+            fn=prepare_download,
+            inputs=loaded_data,
+            outputs=btn_download
         )
         
         # Generate UI execution
@@ -1201,6 +1272,97 @@ with gr.Blocks(title="🐭 MOUSE Workflow", theme=gr.themes.Soft(), css=CSS) as
             outputs=export_preview
         )
         
+        # ─── Deploy Event Handlers ───
+        
+        # Preview generated code
+        def preview_generated_code(workflow_data, app_name, app_description):
+            if not workflow_data:
+                return "No workflow loaded"
+            
+            try:
+                code = generate_standalone_app(workflow_data, app_name, app_description)
+                return code
+            except Exception as e:
+                return f"Error generating code: {str(e)}"
+        
+        # Update preview when inputs change
+        deploy_name.change(
+            fn=preview_generated_code,
+            inputs=[loaded_data, deploy_name, deploy_description],
+            outputs=generated_code_preview
+        )
+        
+        deploy_description.change(
+            fn=preview_generated_code,
+            inputs=[loaded_data, deploy_name, deploy_description],
+            outputs=generated_code_preview
+        )
+        
+        loaded_data.change(
+            fn=preview_generated_code,
+            inputs=[loaded_data, deploy_name, deploy_description],
+            outputs=generated_code_preview
+        )
+        
+        # Deploy handler
+        def handle_deploy(workflow_data, app_name, app_description, hf_token, space_name, is_private):
+            if not workflow_data:
+                return "❌ No workflow loaded. Please load a workflow first."
+            
+            if not hf_token:
+                return "❌ Hugging Face token is required. Get yours at huggingface.co/settings/tokens"
+            
+            if not space_name:
+                return "❌ Space name is required. Format: username/space-name"
+            
+            # Validate space name format
+            if "/" not in space_name:
+                return "❌ Invalid space name format. Use: username/space-name"
+            
+            # Check if huggingface-hub is available
+            if not HF_HUB_AVAILABLE:
+                return "❌ huggingface-hub library not installed. Install with: pip install huggingface-hub"
+            
+            # Show deploying status
+            yield "🔄 Deploying to Hugging Face Space..."
+            
+            # Deploy
+            result = deploy_to_huggingface(
+                workflow_data=workflow_data,
+                app_name=app_name,
+                app_description=app_description,
+                hf_token=hf_token,
+                space_name=space_name,
+                is_private=is_private
+            )
+            
+            if result["success"]:
+                yield f"""✅ **Deployment Successful!**
+                
+🎉 Your workflow has been deployed to:
+[{result['space_url']}]({result['space_url']})
+
+⏱️ The Space will be ready in a few minutes. Building usually takes 2-5 minutes.
+
+📝 **Next Steps:**
+1. Visit your Space URL
+2. Wait for the build to complete
+3. Share the URL with others
+4. You can edit the code directly on Hugging Face if needed
+
+💡 **Tip:** Set your API keys as secrets in the Space settings:
+- FRIENDLI_TOKEN (for VIDraft)
+- OPENAI_API_KEY (for OpenAI)
+"""
+            else:
+                yield f"❌ **Deployment Failed**\n\nError: {result['error']}"
+        
+        btn_deploy.click(
+            fn=handle_deploy,
+            inputs=[loaded_data, deploy_name, deploy_description, deploy_token, deploy_space_name, deploy_private],
+            outputs=deploy_status
+        )
+        
 
 # -------------------------------------------------------------------
 # 🚀 실행