Update app.py

app.py

@@ -1,3 +1,31 @@
+from transformers import GPT2LMHeadModel, GPT2TokenizerFast, pipeline
 import gradio as gr
+import os
 
-gr.load("models/JakeTurner616/Adonalsium-gpt2").launch()
+# Set the correct path to your model directory on Hugging Face Hub
+model_dir = "JakeTurner616/Adonalsium-gpt2"
+
+# Manually specify the model's configuration and weights files
+model = GPT2LMHeadModel.from_pretrained(model_dir, torch_dtype='auto', low_cpu_mem_usage=True)
+tokenizer = GPT2TokenizerFast.from_pretrained(model_dir, use_fast=True)
+
+# Ensure the tokenizer uses the correct pad token
+tokenizer.pad_token = tokenizer.eos_token
+
+# Create the text generation pipeline
+generator = pipeline('text-generation', model=model, tokenizer=tokenizer)
+
+def generate_text(prompt):
+    # Generate text
+    generated_texts = generator(prompt, max_length=150, temperature=0.7,
+                                top_p=0.85, repetition_penalty=1.3,
+                                num_return_sequences=1, no_repeat_ngram_size=2,
+                                early_stopping=True)
+    return generated_texts[0]['generated_text']
+
+# Create the Gradio interface
+iface = gr.Interface(fn=generate_text, inputs="text", outputs="text", 
+                     title="Cosmere Text Generator", 
+                     description="Generate text based on the Cosmere series by Brandon Sanderson.")
+# Launch the interface
+iface.launch()