Update app.py

app.py

@@ -4,18 +4,15 @@ import torch
 import gradio as gr
 from huggingface_hub import InferenceClient
 
-client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
-
 # chatgpt-gpt4-prompts-bart-large-cnn-samsum
-tokenizer = AutoTokenizer.from_pretrained(
-    "Kaludi/chatgpt-gpt4-prompts-bart-large-cnn-samsum")
-model = AutoModelForSeq2SeqLM.from_pretrained(
-    "Kaludi/chatgpt-gpt4-prompts-bart-large-cnn-samsum", from_tf=True)
+tokenizer = AutoTokenizer.from_pretrained("Kaludi/chatgpt-gpt4-prompts-bart-large-cnn-samsum")
+model = AutoModelForSeq2SeqLM.from_pretrained("Kaludi/chatgpt-gpt4-prompts-bart-large-cnn-samsum", from_tf=True)
 
 # zephyr
+    client = InferenceClient("HuggingFaceH4/zephyr-7b-alpha")
     # pipe = pipeline("text-generation", model="HuggingFaceH4/zephyr-7b-alpha",torch_dtype=torch.bfloat16, device_map="auto")
 
-def generateZep(inputuno, inputdos):
+def generateZep(inputuno):
     prompt = inputuno
     promptdos = inputdos