Upload app.py

app.py

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+import gradio as gr
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+# Model name from Hugging Face
+model_name = "segolilylabs/Lily-Cybersecurity-7B-v0.2"
+
+# Load the tokenizer and model
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForCausalLM.from_pretrained(model_name)
+
+def generate_text(input_text):
+    # Tokenize the input text
+    inputs = tokenizer(input_text, return_tensors="pt")
+    
+    # Generate output from the model
+    outputs = model.generate(**inputs, max_length=100)
+    
+    # Decode the output tokens back into text
+    output_text = tokenizer.decode(outputs[0], skip_special_tokens=True)
+    
+    return output_text
+
+# Create a Gradio interface
+demo = gr.Interface(fn=generate_text, inputs="text", outputs="text")
+
+# Launch the app
+demo.launch()