Create app.py

app.py

@@ -0,0 +1,21 @@
+import gradio as gr
+from transformers import AutoModelForCausalLM, AutoTokenizer, pipeline
+
+model_id = "TinyLlama/TinyLlama-1.1B-Chat-v1.0"
+
+tokenizer = AutoTokenizer.from_pretrained(model_id)
+model = AutoModelForCausalLM.from_pretrained(model_id, torch_dtype="auto", device_map="auto")
+
+pipe = pipeline("text-generation", model=model, tokenizer=tokenizer)
+
+def chat(message):
+    messages = [
+        {"role": "system", "content": "You are a helpful assistant."},
+        {"role": "user", "content": message}
+    ]
+    prompt = f"<|user|>\n{message}\n<|assistant|>\n"
+    output = pipe(prompt, max_new_tokens=200, do_sample=True, temperature=0.7)[0]["generated_text"]
+    return output.split("<|assistant|>\n")[-1].strip()
+
+iface = gr.Interface(fn=chat, inputs="text", outputs="text", title="TinyLlama Chat")
+iface.launch()