Update app.py

app.py

@@ -1,13 +1,3 @@
-# -*- coding: utf-8 -*-
-"""app.ipynb
-
-Automatically generated by Colaboratory.
-
-Original file is located at
-    https://colab.research.google.com/#fileId=https%3A//huggingface.co/spaces/AliArshad/Psycho/blob/main/app.ipynb
-"""
-
-pip install transformers gradio
 
 # Load model directly
 from transformers import AutoTokenizer, AutoModelForCausalLM
@@ -32,14 +22,14 @@ def generate_response(system_input, user_input):
     return response.split("### Assistant:\n")[-1]
 
 '''# Example usage
-system_input = "Please act as a psychology counselor assistant. I will provide you counselling notes and you need to provide me exactly two things in return, assessment and plan for the notes. Please note that the assessment should begin with keword 'Assessment:', and plan should begin with keyword 'Plan:'. Please make it logical, simple, concise, and clear."
+system_input = "Please act as a psychology counselor assistant. I will provide you counseling notes and you need to provide me with exactly two things in return, assessment and plan for the notes. Please note that the assessment should begin with keword 'Assessment:', and plan should begin with keyword 'Plan:'. Please make it logical, simple, concise, and clear."
 user_input = "Can't sleep well?"
 response = generate_response(system_input, user_input)
 print(response)
 '''
 
 def generate_response1(user_input):
-    system_input = "Please act as a psychology counselor assistant. I will provide you counselling notes and you need to provide me exactly two things in return, assessment and plan for the notes. Please note that the assessment should begin with keword 'Assessment:', and plan should begin with keyword 'Plan:'. Please make it logical, simple, concise, and clear."
+    system_input = "Please act as a psychology counselor assistant. I will provide you counseling notes and you need to provide me with exactly two things in return, assessment and plan for the notes. Please note that the assessment should begin with keword 'Assessment:', and plan should begin with keyword 'Plan:'. Please make it logical, simple, concise, and clear."
     prompt = f"### System:\n{system_input}\n### User:\n{user_input}\n### Assistant:\n"
     inputs = tokenizer.encode(prompt, return_tensors="pt", add_special_tokens=False)
     outputs = model.generate(inputs, max_length=1000, num_return_sequences=1, pad_token_id=tokenizer.eos_token_id)