Mount Flask WSGI directly under FastAPI /api and support dual routes

app.py

@@ -5,13 +5,15 @@ Space: https://huggingface.co/spaces/hellosindh/sindhi-ngram
 
 import os
 import sys
-import gradio as gr
+from fastapi import FastAPI
 from starlette.middleware.wsgi import WSGIMiddleware
+from starlette.responses import RedirectResponse
+import gradio as gr
 
 # Import our underlying Flask application
 from app_backend import app as flask_app
 
-# Modern informative status dashboard on Hugging Face Space homepage
+# 1. Informative status dashboard on Gradio
 with gr.Blocks(title="HelloSindh Sindhi Ngram API") as demo:
     gr.Markdown("""
     # 🚀 HelloSindh Sindhi Ngram Viewer — Production API
@@ -31,13 +33,23 @@ with gr.Blocks(title="HelloSindh Sindhi Ngram API") as demo:
     | `/api/ngram?q=سنڌ&start_year=1980&end_year=2026` | `GET` | Historical percentage frequencies across years |
     | `/api/trends_entities` | `GET` | Top famous personalities & cities rankings |
     | `/api/top50` | `GET` | Top 100 popular words by year & character lengths |
-    | `/api/quotes?q=سنڌ` | `GET` | Concordance citations & book snippets |
+    | `/api/snippets?q=سنڌ` | `GET` | Concordance citations & book snippets |
     | `/api/author-stats?q=سنڌ` | `GET` | Top authors using the searched term |
     | `/api/famous_personalities` | `GET` | Famous personalities by year |
     """)
 
-# Mount all Flask routes directly under the FastAPI/Gradio server
-demo.app.mount("/api", WSGIMiddleware(flask_app))
+# 2. FastAPI app wrapping Flask
+fastapi_app = FastAPI(title="HelloSindh Sindhi Ngram API")
+
+# Mount Flask app to handle all /api endpoints
+fastapi_app.mount("/api", WSGIMiddleware(flask_app))
+
+@fastapi_app.get("/")
+def home():
+    return RedirectResponse(url="/dashboard")
+
+# 3. Mount Gradio interface
+app = gr.mount_gradio_app(fastapi_app, demo, path="/dashboard")
 
 if __name__ == "__main__":
     demo.launch(server_name="0.0.0.0", server_port=7860)

app_backend.py

@@ -196,6 +196,7 @@ def serve_fonts(filename):
 # ==========================================
 
 @app.route("/api/stats")
+@app.route("/stats")
 def api_stats():
     # Load from precomputed corpus_stats.json if present
     cs_path = os.path.join(os.path.dirname(os.path.abspath(__file__)), "corpus_stats.json")
@@ -643,6 +644,7 @@ def get_top_50_insights_for_query(raw_query: str, heh_norm: bool = True) -> list
 
 
 @app.route("/api/ngram")
+@app.route("/ngram")
 def api_ngram():
     raw_query = request.args.get("q", "").strip()
     start_year = request.args.get("start_year", type=int)
@@ -865,6 +867,7 @@ def contains_exact_word(sentence: str, term: str, heh_norm: bool = True) -> bool
 
 
 @app.route("/api/snippets")
+@app.route("/snippets")
 def api_snippets():
     raw_query = request.args.get("q", "").strip()
     year = request.args.get("year", type=int)
@@ -938,6 +941,7 @@ def api_snippets():
 
 
 @app.route("/api/author-stats")
+@app.route("/author-stats")
 def api_author_stats():
     """
     Returns the top 10 authors who used the searched word(s) the most.