Update app.py

app.py

@@ -7,6 +7,7 @@ from pydantic import BaseModel
 import uvicorn
 import insightface
 import gradio as gr
+import threading
 
 # ---------- Load Face Detector + Recognition Model ----------
 model = insightface.app.FaceAnalysis(name="buffalo_l")
@@ -88,16 +89,9 @@ async def compare_faces(req: CompareRequest):
         "match": matched
     }
 
-# ---------- Gradio UI (TEXT INPUT instead of upload) ----------
+# ---------- Gradio UI ----------
 def gradio_ui(img1_text, img2_text):
-    """
-    Accepts:
-      - base64 string
-      - or URL
-    Automatically detects which one.
-    """
-
-    # --- Determine type of input ---
+
     def load_any(input_str):
         if input_str.startswith("http://") or input_str.startswith("https://"):
             return url_to_img(input_str)
@@ -121,12 +115,24 @@ def gradio_ui(img1_text, img2_text):
 
     return f"Similarity: {similarity:.3f} | Match: {matched}"
 
-gr.Interface(
-    fn=gradio_ui,
-    inputs=[
-        gr.Textbox(label="Image 1 (base64 or URL)"),
-        gr.Textbox(label="Image 2 (base64 or URL)")
-    ],
-    outputs="text",
-    title="Face Match API (Text Input)"
-).launch()
+
+# ---------- Run Gradio in Background Thread ----------
+def launch_gradio():
+    gr.Interface(
+        fn=gradio_ui,
+        inputs=[
+            gr.Textbox(label="Image 1 (base64 or URL)"),
+            gr.Textbox(label="Image 2 (base64 or URL)")
+        ],
+        outputs="text",
+        title="Face Match API (Text Input)"
+    ).launch(server_name="0.0.0.0", server_port=7860)
+
+
+# ---------- MAIN ----------
+if __name__ == "__main__":
+    # Start Gradio in a separate thread
+    threading.Thread(target=launch_gradio, daemon=True).start()
+
+    # Start FastAPI server
+    uvicorn.run(app, host="0.0.0.0", port=8000)