Update app.py

app.py

@@ -22,9 +22,7 @@ for x,item in data.items():
         texts.append(each)
     globals()[f"faiss_{x}"] = FAISS.from_texts(texts,HuggingFaceEmbeddings(model_name="sentence-transformers/all-MiniLM-L6-v2",model_kwargs={'device':'cpu'}))
 
-from fastapi import FastAPI
-app = FastAPI()
-@app.get("/")
+
 def transcribe_the_command(audio_path,state):
     transcript = pipe(audio_path)["text"]
     similar = globals()[f"faiss_{state}"].similarity_search(transcript)[0].page_content