fix

README.md

@@ -4,7 +4,6 @@ colorFrom: blue
 colorTo: gray
 sdk: docker
 app_port: 7860
-base_path: /ui
 short_description: Transcript analysis API and Gradio interface.
 ---
 
@@ -92,7 +91,7 @@ http://127.0.0.1:8000/docs
 The Gradio frontend is available at:
 
 ```text
-http://127.0.0.1:8000/ui
+http://127.0.0.1:8000
 ```
 
 Analyze one transcript:
@@ -120,7 +119,7 @@ Analysis results are stored in memory, so they reset when the API process restar
 
 ## Hugging Face Spaces Deployment
 
-This repository is configured as a Docker Space. The container serves FastAPI and the mounted Gradio UI through Uvicorn on port `7860`, and the Space opens directly at `/ui`.
+This repository is configured as a Docker Space. The container serves FastAPI and the mounted Gradio UI through Uvicorn on port `7860`. Hugging Face opens the Space at `/`, where the Gradio app is served directly.
 
 Set `OPENAI_API_KEY` as a Hugging Face Space Secret. Optionally set `OPENAI_MODEL` as a Space Variable if you want to override the default model.
 
@@ -134,7 +133,7 @@ docker run --rm -p 7860:7860 --env-file .env aceup-transcript-analysis
 Then open:
 
 ```text
-http://127.0.0.1:7860/ui
+http://127.0.0.1:7860
 ```
 
 ## OpenAI Adapter Integration Test

app/main.py

@@ -2,7 +2,7 @@ from functools import lru_cache
 from typing import Annotated
 
 from fastapi import Depends, FastAPI, Query, Request
-from fastapi.responses import JSONResponse, RedirectResponse
+from fastapi.responses import JSONResponse
 import gradio as gr
 
 from app.adapters.openai import OpenAIAdapter
@@ -69,11 +69,6 @@ async def llm_completion_handler(_: Request, exc: LLMCompletionError) -> JSONRes
     return JSONResponse(status_code=502, content={"detail": str(exc)})
 
 
-@app.get("/", include_in_schema=False)
-def redirect_to_ui() -> RedirectResponse:
-    return RedirectResponse(url="/ui")
-
-
 @app.get("/analyses", response_model=TranscriptAnalysisResponse)
 def analyze_transcript(
     transcript: Annotated[str, Query(description="Plain text transcript to analyze.")],
@@ -101,4 +96,4 @@ async def analyze_transcripts_batch(
     return to_batch_transcript_analysis_response(analyses)
 
 
-app = gr.mount_gradio_app(app, build_gradio_app(get_gradio_analysis_service), path="/ui")
+app = gr.mount_gradio_app(app, build_gradio_app(get_gradio_analysis_service), path="/")

tests/api/test_transcript_analysis_api.py

@@ -96,15 +96,8 @@ def test_analyze_batch_rejects_empty_transcript(client: TestClient) -> None:
     assert response.json()["detail"] == "Transcript cannot be empty."
 
 
-def test_gradio_ui_is_mounted(client: TestClient) -> None:
-    response = client.get("/ui/", follow_redirects=True)
+def test_gradio_ui_is_mounted_at_root(client: TestClient) -> None:
+    response = client.get("/", follow_redirects=True)
 
     assert response.status_code == 200
     assert "text/html" in response.headers["content-type"]
-
-
-def test_root_redirects_to_gradio_ui(client: TestClient) -> None:
-    response = client.get("/", follow_redirects=False)
-
-    assert response.status_code == 307
-    assert response.headers["location"] == "/ui"