Create app.py

app.py

@@ -0,0 +1,23 @@
+# Load the GPT-2 large model and tokenizer
+model_name = "gpt2-large"
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForCausalLM.from_pretrained(model_name)
+
+# Function to generate a blog post based on a topic title
+def generate_blog(topic_title, max_length=300):
+    # Step 1: Encode the input
+    input_ids = tokenizer.encode(topic_title, return_tensors='pt')
+    
+    # Step 2: Generate model output
+    output_ids = model.generate(input_ids, max_length=max_length, num_return_sequences=1, pad_token_id=tokenizer.eos_token_id)
+    
+    # Step 3: Decode the output
+    blog_post = tokenizer.decode(output_ids[0], skip_special_tokens=True)
+    
+    return blog_post
+
+# Example usage
+topic_title = input("Enter a topic title for the blog post: ")
+blog_post = generate_blog(topic_title)
+print("\nGenerated Blog Post:\n")
+print(blog_post)