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Update app.py
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app.py
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#
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model = AutoModelForCausalLM.from_pretrained(model_name)
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tokenizer = AutoTokenizer.from_pretrained(model_name)
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def chat(input_text):
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try:
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#
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# Launch the interface
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if __name__ == "__main__":
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import os
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import sys
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# Check for required modules
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required_modules = ['transformers', 'torch', 'numpy']
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for module in required_modules:
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__import__(module)
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except ImportError:
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print(f"Module '{module}' not found. Installing...")
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os.system(f"{sys.executable} -m pip install {module}")
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# Import necessary libraries
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from transformers import AutoModelForCausalLM, AutoTokenizer
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import torch
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import numpy as np
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# Setup model and tokenizer
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model_name = "gpt-3.5-turbo" # You might want to replace this with your specific model
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tokenizer = AutoTokenizer.from_pretrained(model_name)
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model = AutoModelForCausalLM.from_pretrained(model_name)
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# Function to generate text
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def generate_text(prompt, max_length=100):
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inputs = tokenizer(prompt, return_tensors="pt")
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outputs = model.generate(inputs.input_ids, max_length=max_length, do_sample=True, top_k=50, top_p=0.95)
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return tokenizer.decode(outputs[0], skip_special_tokens=True)
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# Main function
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def main():
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print("Welcome to CATGPT! Type 'exit' to quit.")
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while True:
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prompt = input("\nEnter your prompt: ")
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if prompt.lower() == 'exit':
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break
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response = generate_text(prompt)
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print(f"\nCATGPT: {response}")
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if __name__ == "__main__":
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main()
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