Update app.py

app.py

@@ -76,8 +76,8 @@ newmodel = PeftModel.from_pretrained(peft_model_id, use_auth_token="hf_sPXSxqIkW
 newtokenizer = AutoTokenizer.from_pretrained(peft_model_id, use_auth_token="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")
 
 def givetext(input_text, lmodel, ltokenizer):
-    eval_prompt_pt1 = """\nBelow is an instruction that describes a task. Write a response that appropriately completes the request.\n### Instruction: Act like a therapist and respond\n\n### Input: """
-    eval_prompt_pt2 = """\n\n\n### Response:\n"""
+    eval_prompt_pt1 = \nBelow is an instruction that describes a task. Write a response that appropriately completes the request.\n### Instruction: Act like a therapist and respond\n\n### Input: "
+    eval_prompt_pt2 = "\n\n\n### Response:\n"
     eval_prompt = eval_prompt_pt1 + input_text + eval_prompt_pt2
     print(eval_prompt, "\n\n")
     model_input = ltokenizer(eval_prompt, return_tensors="pt").to("cuda")