chatbot.py

chatbot.py

@@ -0,0 +1,34 @@
+from transformers import AutoModelForCausalLM, AutoTokenizer
+import torch
+
+model_name = "microsoft/DialoGPT-medium"  # You can also try blenderbot
+
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForCausalLM.from_pretrained(model_name)
+
+chat_history_ids = None
+step = 0
+
+print("💌 AI GF: Hey love, I’m here to talk. What’s on your mind?")
+while True:
+    user_input = input("You: ")
+    if user_input.lower() in ["exit", "quit"]:
+        print("AI GF: Bye sweetheart ❤️")
+        break
+
+    new_input_ids = tokenizer.encode(user_input + tokenizer.eos_token, return_tensors='pt')
+    bot_input_ids = torch.cat([chat_history_ids, new_input_ids], dim=-1) if step > 0 else new_input_ids
+
+    chat_history_ids = model.generate(
+        bot_input_ids,
+        max_length=1000,
+        pad_token_id=tokenizer.eos_token_id,
+        do_sample=True,
+        top_k=50,
+        top_p=0.95,
+        temperature=0.75
+    )
+
+    response = tokenizer.decode(chat_history_ids[:, bot_input_ids.shape[-1]:][0], skip_special_tokens=True)
+    print(f"💌 AI GF: {response}")
+    step += 1