Create GetXpath.py

GetXpath.py

@@ -0,0 +1,15 @@
+import gradio as gr
+from transformers import AutoTokenizer, AutoModelForCausalLM
+
+# Load the model and tokenizer
+tokenizer = AutoTokenizer.from_pretrained("meta-llama/Llama-2-7b")
+model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-7b")
+
+def generate(prompt):
+    inputs = tokenizer(prompt, return_tensors="pt")
+    outputs = model.generate(inputs['input_ids'], max_length=100)
+    response = tokenizer.decode(outputs[0], skip_special_tokens=True)
+    return response
+
+# Create a Gradio Interface
+gr.Interface(fn=generate, inputs="text", outputs="text").launch()