| import gradio as gr | |
| from transformers import AutoModelForCausalLM, AutoTokenizer | |
| model_name = "TinyLlama/TinyLlama-1.1B-Chat-v1.0" | |
| model = AutoModelForCausalLM.from_pretrained(model_name) | |
| tokenizer = AutoTokenizer.from_pretrained(model_name) | |
| def generate_post(subreddit, topic): | |
| prompt = f"Create a Reddit post for r/{subreddit} about {topic}" | |
| inputs = tokenizer(prompt, return_tensors="pt") | |
| outputs = model.generate(**inputs, max_length=200) | |
| return tokenizer.decode(outputs[0]) | |
| interface = gr.Interface( | |
| fn=generate_post, | |
| inputs=["text", "text"], | |
| outputs="text", | |
| title="Reddit Post Generator" | |
| ) | |
| interface.launch() |