Create chat_bot.py

chat_bot.py

@@ -0,0 +1,27 @@
+# Import the required libraries
+import torch
+from transformers import GPT2LMHeadModel, GPT2Tokenizer
+
+# Load the pre-trained GPT-2 model and tokenizer
+model_name = "gpt2"  # You can choose a different model size if needed
+model = GPT2LMHeadModel.from_pretrained(model_name)
+tokenizer = GPT2Tokenizer.from_pretrained(model_name)
+
+# Set the device (CPU or GPU)
+device = "cuda" if torch.cuda.is_available() else "cpu"
+model.to(device)
+
+# Define a function to generate responses
+def generate_response(input_text, max_length=100):
+    input_ids = tokenizer.encode(input_text, return_tensors="pt").to(device)
+    output = model.generate(input_ids, max_length=max_length, num_return_sequences=1)
+    response = tokenizer.decode(output[0], skip_special_tokens=True)
+    return response
+
+# Example conversation loop
+while True:
+    user_input = input("You: ")
+    if user_input.lower() == "exit":
+        break
+    response = generate_response(user_input)
+    print("Bot:", response)