Update app.py

app.py

@@ -19,7 +19,7 @@ from bs4 import BeautifulSoup
 from collections import deque
 from datetime import datetime
 from dotenv import load_dotenv
-from gradio_client import Client
+from gradio_client import Client, handle_file
 from huggingface_hub import InferenceClient
 from io import BytesIO
 from moviepy.editor import VideoFileClip
@@ -32,8 +32,6 @@ from xml.etree import ElementTree as ET
 import openai
 from openai import OpenAI
 
-
-
 # 1. Configuration
 Site_Name = 'Scholarly-Article-Document-Search-With-Memory'
 title="🔬🧠ScienceBrain.AI"
@@ -1847,12 +1845,22 @@ def transcribe_canary(filename):
     st.write(result)
     return result
 
+def transcribe_whisperLTurbo(filename):
+    client = Client("hf-audio/whisper-large-v3-turbo")
+    result = client.predict(
+    		inputs=handle_file('https://github.com/gradio-app/gradio/raw/main/test/test_files/audio_sample.wav'),
+    		task="transcribe",
+    		api_name="/predict"
+    )
+    st.write(result)
+    return result
 
 # Transcript to arxiv and client chat completion -------------------------  !!
 filename = save_and_play_audio(audio_recorder)
 if filename is not None:
     transcript=''
-    transcript=transcribe_canary(filename)
+    transcript=transcribe_whisperLTurbo(filename)
+    #transcript=transcribe_canary(filename)
     
     # Search ArXiV and get the Summary and Reference Papers Listing
     result = search_arxiv(transcript)