add ltu-v2 api call demo

ltu2_api_demo.py

@@ -3,58 +3,7 @@
 # @Author  : Yuan Gong
 # @Affiliation  : Massachusetts Institute of Technology
 # @Email   : yuangong@mit.edu
-# @File    : api_demo.py
-
-# method 1
-
-# import json
-# import gradio as gr
-# import requests
-# import os
-#
-# def is_file_larger_than_30mb(file_path):
-#     try:
-#         file_size = os.path.getsize(file_path)
-#         return file_size > (30 * 1024 * 1024)
-#     except FileNotFoundError:
-#         return False
-#     except PermissionError:
-#         return False
-#     except Exception as e:
-#         return False
-#
-# def upload_audio(audio_path):
-#     try:
-#         size = is_file_larger_than_30mb(audio_path)
-#         if size == True:
-#             return 'size'
-#         with open(audio_path, 'rb') as audio_file:
-#             response = requests.post('http://sls-titan-6.csail.mit.edu:8080/upload/', files={'audio_file': audio_file})
-#         if response.status_code == 200:
-#             return response.json()["path"]
-#     except:
-#         return None
-#
-# def predict(audio_path, question):
-#     upload_statues = upload_audio(audio_path)
-#     if upload_statues == None:
-#         return 'Please upload an audio file.'
-#     if upload_statues == 'size':
-#         return 'This demo does not support audio file size larger than 30MB.'
-#     if question == '':
-#         return 'Please ask a question.'
-#     print(audio_path, question)
-#     response = requests.put('http://sls-titan-6.csail.mit.edu:8080/items/0', json={
-#         'audio_path': audio_path, 'question': question
-#     })
-#     answer = json.loads(response.content)
-#     ans_str = answer['output']
-#     return ans_str
-#
-# ans = predict('./sample_audio.wav', 'What did you hear?')
-# print(ans)
-
-# # method 2
+# @File    : ltu2_api_demo.py
 
 from gradio_client import Client
 import time