Update app.py

app.py

@@ -2,7 +2,7 @@ from transformers import pipeline
 from langchain.vectorstores import FAISS
 from langchain.embeddings import HuggingFaceEmbeddings
 
-pipe = pipeline("automatic-speech-recognition", model="openai/whisper-large-v2")
+pipe = pipeline("automatic-speech-recognition", model="openai/whisper-small")
 import json
 with open("tasks.json", "r",encoding="utf-8") as json_file:
   global data
@@ -24,7 +24,7 @@ for x,item in data.items():
 
 
 def transcribe_the_command(audio_path,state):
-    transcript = pipe(audio_path)["text"]
+    transcript = pipe(audio_path[1])["text"]
     similar = globals()[f"faiss_{state}"].similarity_search(transcript)[0].page_content
     print(similar)
     reply = find_index(similar)