Update app.py

app.py

@@ -1,8 +1,31 @@
 #import gradio as gr
 #gr.Interface.load("models/pyannote/speaker-diarization").launch()
+
+from fastapi import FastAPI
+from fastapi.staticfiles import StaticFiles
+from fastapi.responses import FileResponse
 from pyannote.audio import Pipeline
   
-pipeline = Pipeline.from_pretrained("pyannote/speaker-diarization")
+#from transformers import pipeline
+
+app = FastAPI()
+
+#pipe_flan = pipeline("text2text-generation", model="google/flan-t5-small")
+
+@app.get("/healthcheck")
+def t5(input):
+    
+    #output = pipe_flan(input)
+    #pipeline = Pipeline.from_pretrained("pyannote/speaker-diarization")
+    #pipeline("file.wav")
+    return {"output":"OK"}
+
+#app.mount("/", StaticFiles(directory="static", html=True), name="static")
+
+# @app.get("/")
+#def index() -> FileResponse:
+    return FileResponse(path="/app/static/index.html", media_type="text/html")
+
+    
+
 
-# inference on the whole file
-pipeline("file.wav")