Create app.py

app.py

@@ -0,0 +1,21 @@
+# app.py
+
+import gradio as gr
+from transformers import pipeline, AutoTokenizer, AutoModelForCausalLM
+
+model = AutoModelForCausalLM.from_pretrained("trained_model", device_map="auto")
+tokenizer = AutoTokenizer.from_pretrained("trained_model")
+
+pipe = pipeline("text-generation", model=model, tokenizer=tokenizer)
+
+def chatbot(instruction):
+    prompt = f"### Instruction:\n{instruction}\n\n### Response:\n"
+    response = pipe(prompt, max_new_tokens=100)[0]['generated_text']
+    return response[len(prompt):].strip()
+
+gr.Interface(
+    fn=chatbot,
+    inputs="text",
+    outputs="text",
+    title="TinyLlama QLoRA Support Bot"
+).launch()