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app.py

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+# -*- coding: utf-8 -*-
+"""blogGenForHuggingFace.ipynb
+
+Automatically generated by Colab.
+
+Original file is located at
+    https://colab.research.google.com/drive/1_WrPpqQ6ep13S0Jiy-9bMyWea_EPEw4_
+"""
+
+from transformers import pipeline, GPT2LMHeadModel, GPT2Tokenizer
+
+# Load pre-trained GPT-2 model and tokenizer
+model_name = "gpt2"
+model = GPT2LMHeadModel.from_pretrained(model_name)
+tokenizer = GPT2Tokenizer.from_pretrained(model_name)
+
+# Define function to generate blog post
+def generate_blogpost(topic):
+    input_text = f"Blog post about {topic}:"
+    input_ids = tokenizer.encode(input_text, return_tensors="pt")
+
+    # Generate text
+    output = model.generate(input_ids, max_length=500, num_return_sequences=1, no_repeat_ngram_size=2)
+
+    # Decode and return text
+    generated_text = tokenizer.decode(output[0], skip_special_tokens=True)
+    return generated_text
+
+# Example usage
+topic = "natural language processing"
+blogpost = generate_blogpost(topic)
+print(blogpost)

requirments.txt

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+transformers