PQ

app.py

@@ -13,6 +13,7 @@ from fastapi.middleware.cors import CORSMiddleware
 import gradio as gr
 import uvicorn
 from pydantic import BaseModel
+from fastapi.responses import RedirectResponse
 from huggingface_hub.inference._mcp.agent import Agent
 from dotenv import load_dotenv
 load_dotenv()
@@ -364,10 +365,6 @@ Please process all {len(all_tags)} tags: {", ".join(all_tags)}
 #         }
 #     }
 
-from fastapi.responses import RedirectResponse
-@app.get("/")
-async def root_direct():
-    return RedirectResponse(url="/gradio")
 
 
 @app.get("/health")
@@ -395,10 +392,6 @@ async def get_operations():
 
 
 
-
-
-
-
 @app.post("/Webhook")
 async def webhook_handler(request:Request, background_tasks:BackgroundTasks):
     """
@@ -469,7 +462,7 @@ def create_gradio_app():
           text-generation, etc.
         """)
         with gr.Column():
-            sim_repo=gr.Textbox(label="Repository",value="burtenshaw/play-mcp-repo-bot",placeholder="Sandhya2002/tag-boat")
+            sim_repo=gr.Textbox(label="Repository",value="burtenshaw/play-mcp-repo-bot",placeholder="username/model-name")
             sim_title= gr.Textbox(label="Discussion Title",value="Add pytorch tag",placeholder="Discussion title")
             sim_comment=gr.Textbox(label="comment",lines=3,value="This model should have tags: pytorch, text-generation",placeholder="Comment mentioning tags ...")
             sim_btn=gr.Button("🏷️ Test Tag Detection")
@@ -481,6 +474,10 @@ def create_gradio_app():
 gradio_app=create_gradio_app()
 app=gr.mount_gradio_app(app,gradio_app,path="/gradio")
 
+@app.get("/")
+async def root_direct():
+    return RedirectResponse(url="/gradio")
+
 if __name__=="__main__":
     print("🚀 Starting HF Tagging Bot...")
     print("📊 Dashboard: http://localhost:7860/gradio")