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app.py

@@ -1,3 +1,53 @@
 import gradio as gr
+from transformers import AutoTokenizer, AutoModelForCausalLM
 
-gr.load("models/migueldeguzmandev/gpt2xl-standard-test-purposes-only").launch()
+# Load the model and tokenizer
+model_name = "migueldeguzmandev/GPT2XL_RLLMv"
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForCausalLM.from_pretrained(model_name)
+
+# Set the pad token ID to the EOS token ID
+model.config.pad_token_id = model.config.eos_token_id
+
+# Define the inference function
+def generate_response(input_text, temperature):
+    # Tokenize the input text
+    inputs = tokenizer(input_text, return_tensors="pt")
+    input_ids = inputs["input_ids"]
+    attention_mask = inputs["attention_mask"]
+
+    # Generate the model's response
+    output = model.generate(
+        input_ids,
+        attention_mask=attention_mask,
+        max_length=300,
+        num_return_sequences=1,
+        temperature=temperature,
+        no_repeat_ngram_size=2,
+        top_k=50,
+        top_p=0.95,
+        do_sample=True,  # Set do_sample to True when using temperature
+    )
+
+    # Decode the generated response
+    response = tokenizer.decode(output[0], skip_special_tokens=True)
+    return response
+
+# Create the Gradio interface
+interface = gr.Interface(
+    fn=generate_response,
+    inputs=[
+        gr.Textbox(label="User Input"),
+        gr.Slider(minimum=0.00000000000000000000001, maximum=1.0, value=0.7, step=0.1, label="Temperature"),
+    ],
+    outputs=gr.Textbox(label="Model Response"),
+    title="Hello, I'm Aligned AI!",
+    description=(
+        """
+        Unfortunately, Jailbreak attacks destroyed this prototype. All of the almost zero temperature attacks can be found <a href=https://whimsical.com/layer10-q-and-a-EiiYQfKCHivyX3t9t84ukE>here</a>.
+        """
+    ),
+)
+
+# Launch the interface without the share option
+interface.launch()

requirements.txt

@@ -0,0 +1,3 @@
+gradio
+transformers
+torch