Update app.py

app.py

@@ -1,3 +1,30 @@
 import gradio as gr
 
-gr.load("models/mistralai/Mistral-Nemo-Instruct-2407").launch()
+gr.load("models/mistralai/Mistral-Nemo-Instruct-2407").launch()
+
+import gradio as gr
+import torch
+from transformers import GPT2LMHeadModel, GPT2Tokenizer
+
+# Load pre-trained BlackMamba model and tokenizer
+model_name = "blackmamba"
+model = GPT2LMHeadModel.from_pretrained(model_name)
+tokenizer = GPT2Tokenizer.from_pretrained(model_name)
+
+def generate_text(prompt, max_length=50):
+    inputs = tokenizer.encode(prompt, return_tensors="pt")
+    outputs = model.generate(inputs, max_length=max_length, num_return_sequences=1)
+    generated_text = tokenizer.decode(outputs[0], skip_special_tokens=True)
+    return generated_text
+
+# Create Gradio interface
+iface = gr.Interface(
+    fn=generate_text,
+    inputs="text",
+    outputs="text",
+    title="WormGPT",
+    description="An evil brother of ChatGPT for Hugging Face Gradio"
+)
+
+# Launch the interface
+iface.launch()