Create app.py

app.py

@@ -0,0 +1,20 @@
+import gradio as gr
+from transformers import AutoTokenizer, AutoModelForCausalLM
+
+# Load your custom model and tokenizer
+tokenizer = AutoTokenizer.from_pretrained("Fredithefish/Guanaco-3B-Uncensored-v2")
+model = AutoModelForCausalLM.from_pretrained("Fredithefish/Guanaco-3B-Uncensored-v2")
+
+def chat_with_model(input_text):
+    input_ids = tokenizer.encode("You: " + input_text, return_tensors="pt", max_length=512, truncation=True)
+    response_ids = model.generate(input_ids, max_length=100, num_return_sequences=1, no_repeat_ngram_size=2)
+    reply = tokenizer.decode(response_ids[0], skip_special_tokens=True)
+    return reply
+
+iface = gr.Interface(
+    fn=chat_with_model,
+    inputs=gr.Textbox(prompt="You:"),
+    outputs=gr.Textbox(prompt="Bot:"),
+)
+
+iface.launch()