Delete old docs (#1384)

private_gpt/launcher.py

@@ -1,13 +1,10 @@
 """FastAPI app creation, logger configuration and main API routes."""
 import logging
-from typing import Any
 
 from fastapi import Depends, FastAPI, Request
 from fastapi.middleware.cors import CORSMiddleware
-from fastapi.openapi.utils import get_openapi
 from injector import Injector
 
-from private_gpt.paths import docs_path
 from private_gpt.server.chat.chat_router import chat_router
 from private_gpt.server.chunks.chunks_router import chunks_router
 from private_gpt.server.completions.completions_router import completions_router
@@ -22,107 +19,35 @@ logger = logging.getLogger(__name__)
 def create_app(root_injector: Injector) -> FastAPI:
 
     # Start the API
-    with open(docs_path / "description.md") as description_file:
-        description = description_file.read()
+    async def bind_injector_to_request(request: Request) -> None:
+        request.state.injector = root_injector
 
-        tags_metadata = [
-            {
-                "name": "Ingestion",
-                "description": "High-level APIs covering document ingestion -internally "
-                "managing document parsing, splitting,"
-                "metadata extraction, embedding generation and storage- and ingested "
-                "documents CRUD."
-                "Each ingested document is identified by an ID that can be used to filter the "
-                "context"
-                "used in *Contextual Completions* and *Context Chunks* APIs.",
-            },
-            {
-                "name": "Contextual Completions",
-                "description": "High-level APIs covering contextual Chat and Completions. They "
-                "follow OpenAI's format, extending it to "
-                "allow using the context coming from ingested documents to create the "
-                "response. Internally"
-                "manage context retrieval, prompt engineering and the response generation.",
-            },
-            {
-                "name": "Context Chunks",
-                "description": "Low-level API that given a query return relevant chunks of "
-                "text coming from the ingested"
-                "documents.",
-            },
-            {
-                "name": "Embeddings",
-                "description": "Low-level API to obtain the vector representation of a given "
-                "text, using an Embeddings model."
-                "Follows OpenAI's embeddings API format.",
-            },
-            {
-                "name": "Health",
-                "description": "Simple health API to make sure the server is up and running.",
-            },
-        ]
+    app = FastAPI(dependencies=[Depends(bind_injector_to_request)])
 
-        async def bind_injector_to_request(request: Request) -> None:
-            request.state.injector = root_injector
+    app.include_router(completions_router)
+    app.include_router(chat_router)
+    app.include_router(chunks_router)
+    app.include_router(ingest_router)
+    app.include_router(embeddings_router)
+    app.include_router(health_router)
 
-        app = FastAPI(dependencies=[Depends(bind_injector_to_request)])
+    settings = root_injector.get(Settings)
+    if settings.server.cors.enabled:
+        logger.debug("Setting up CORS middleware")
+        app.add_middleware(
+            CORSMiddleware,
+            allow_credentials=settings.server.cors.allow_credentials,
+            allow_origins=settings.server.cors.allow_origins,
+            allow_origin_regex=settings.server.cors.allow_origin_regex,
+            allow_methods=settings.server.cors.allow_methods,
+            allow_headers=settings.server.cors.allow_headers,
+        )
 
-        def custom_openapi() -> dict[str, Any]:
-            if app.openapi_schema:
-                return app.openapi_schema
-            openapi_schema = get_openapi(
-                title="PrivateGPT",
-                description=description,
-                version="0.1.0",
-                summary="PrivateGPT is a production-ready AI project that allows you to "
-                "ask questions to your documents using the power of Large Language "
-                "Models (LLMs), even in scenarios without Internet connection. "
-                "100% private, no data leaves your execution environment at any point.",
-                contact={
-                    "url": "https://github.com/imartinez/privateGPT",
-                },
-                license_info={
-                    "name": "Apache 2.0",
-                    "url": "https://www.apache.org/licenses/LICENSE-2.0.html",
-                },
-                routes=app.routes,
-                tags=tags_metadata,
-            )
-            openapi_schema["info"]["x-logo"] = {
-                "url": "https://lh3.googleusercontent.com/drive-viewer"
-                "/AK7aPaD_iNlMoTquOBsw4boh4tIYxyEuhz6EtEs8nzq3yNkNAK00xGj"
-                "E1KUCmPJSk3TYOjcs6tReG6w_cLu1S7L_gPgT9z52iw=s2560"
-            }
+    if settings.ui.enabled:
+        logger.debug("Importing the UI module")
+        from private_gpt.ui.ui import PrivateGptUi
 
-            app.openapi_schema = openapi_schema
-            return app.openapi_schema
+        ui = root_injector.get(PrivateGptUi)
+        ui.mount_in_app(app, settings.ui.path)
 
-        app.openapi = custom_openapi  # type: ignore[method-assign]
-
-        app.include_router(completions_router)
-        app.include_router(chat_router)
-        app.include_router(chunks_router)
-        app.include_router(ingest_router)
-        app.include_router(embeddings_router)
-        app.include_router(health_router)
-
-        settings = root_injector.get(Settings)
-        if settings.server.cors.enabled:
-            logger.debug("Setting up CORS middleware")
-            app.add_middleware(
-                CORSMiddleware,
-                allow_credentials=settings.server.cors.allow_credentials,
-                allow_origins=settings.server.cors.allow_origins,
-                allow_origin_regex=settings.server.cors.allow_origin_regex,
-                allow_methods=settings.server.cors.allow_methods,
-                allow_headers=settings.server.cors.allow_headers,
-            )
-
-        if settings.ui.enabled:
-            logger.debug("Importing the UI module")
-            from private_gpt.ui.ui import PrivateGptUi
-
-            ui = root_injector.get(PrivateGptUi)
-            ui.mount_in_app(app, settings.ui.path)
-
-        return app
+    return app