Create Zapp.py

Zapp.py

@@ -0,0 +1,23 @@
+import gradio as gr
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+model_id = "EssentialAI/rnj-1-instruct"
+tokenizer = AutoTokenizer.from_pretrained(model_id)
+model = AutoModelForCausalLM.from_pretrained(
+    model_id,
+    torch_dtype="auto",
+    device_map="auto"
+)
+
+def chat(prompt):
+    inputs = tokenizer(prompt, return_tensors="pt")
+    output = model.generate(
+        **inputs,
+        max_new_tokens=4096,  # long output
+        temperature=0.2,
+        do_sample=False
+    )
+    return tokenizer.decode(output[0], skip_special_tokens=True)
+
+iface = gr.Interface(fn=chat, inputs="text", outputs="text")
+iface.launch()