Create app.py

app.py

@@ -0,0 +1,24 @@
+import gradio as gr
+from transformers import AutoModelForCausalLM, AutoTokenizer, pipeline
+
+# Load model and tokenizer
+model_id = "Qwen/Qwen3-0.6B"
+tokenizer = AutoTokenizer.from_pretrained(model_id, trust_remote_code=True)
+model = AutoModelForCausalLM.from_pretrained(model_id, trust_remote_code=True)
+
+# Create pipeline
+generator = pipeline("text-generation", model=model, tokenizer=tokenizer)
+
+# Chat function
+def chat(prompt):
+    output = generator(prompt, max_new_tokens=100, do_sample=True, temperature=0.7)
+    return output[0]["generated_text"]
+
+# Gradio UI
+gr.Interface(
+    fn=chat,
+    inputs=gr.Textbox(lines=3, placeholder="Enter your prompt here..."),
+    outputs="text",
+    title="Qwen3-0.6B Chatbot",
+    description="A simple demo using Qwen3-0.6B from Hugging Face"
+).launch()