Create app_functions.py

app_functions.py

@@ -0,0 +1,15 @@
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+def Get_DialoGPT_Response(input_text, no_words, user_type):
+    model_name = "Rabbiaaa/DialoGPT"
+    try:
+        tokenizer = AutoTokenizer.from_pretrained(model_name)
+        model = AutoModelForCausalLM.from_pretrained(model_name)
+
+        prompt = f"Give an answer for {user_type} of the text given that is '{input_text}' within {no_words} words."
+        inputs = tokenizer(prompt, return_tensors="pt")
+        outputs = model.generate(inputs["input_ids"], max_new_tokens=int(no_words), do_sample=True, top_k=50)
+        response = tokenizer.decode(outputs[0], skip_special_tokens=True)
+        return response
+    except Exception as e:
+        return f"Error during DialoGPT model execution: {str(e)}"