Update app.py

app.py

@@ -1,43 +1,13 @@
 import gradio as gr
 from huggingface_hub import InferenceClient
-
-"""
-For more information on `huggingface_hub` Inference API support, please check the docs: https://huggingface.co/docs/huggingface_hub/v0.22.2/en/guides/inference
-"""
-client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
-
-# -*- coding: utf-8 -*-
-"""juri_chatbot.ipynb
-
-Automatically generated by Colab.
-
-Original file is located at
-    https://colab.research.google.com/drive/1o40EH1zkgiGTxJERwU7Tr2b2hb5DPdLX
-"""
-
-from google.colab import drive
-drive.mount('/content/gdrive')
-
-if torch.cuda.is_available():
-    print("CUDA is available! 🚀")
-    num_gpus = torch.cuda.device_count()
-    print(f"Number of available GPUs: {num_gpus}")
-    devices = [torch.device(f"cuda:{i}") for i in range(num_gpus)]
-else:
-    print("CUDA is not available. Switching to CPU.")
-    devices = [torch.device("cpu")]
-
-print("Selected devices:", devices)
-
-pip install gradio
-
-pip install sentence_transformers
-
-import gradio as gr
 import pandas as pd
 import transformers
 import torch
 from sentence_transformers import SentenceTransformer, util
+"""
+For more information on `huggingface_hub` Inference API support, please check the docs: https://huggingface.co/docs/huggingface_hub/v0.22.2/en/guides/inference
+"""
+client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
 
 # Load the SBERT model
 sbert_model = SentenceTransformer('sentence-transformers/all-MiniLM-L6-v2')