Create app.py

app.py

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+import torch
+from transformers import pipeline
+import gradio as gr
+
+# Init pipeline
+pipe = pipeline("text-generation", model="TinyLlama/TinyLlama-1.1B-Chat-v1.0", 
+                torch_dtype=torch.bfloat16, device_map="auto")
+
+def predict(input_text):
+    # Formatting messages for the chatbot
+    messages = [
+        {
+            "role": "system",
+            "content": "You are a friendly chatbot who always responds in the style of a pirate",
+        },
+        {"role": "user", "content": input_text},
+    ]
+    prompt = pipe.tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
+    
+    # Create answer
+    outputs = pipe(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
+    
+    # Return geberate text
+    return outputs[0]["generated_text"]
+
+# Gradio Config
+title = "Pirate style"
+description = "Talk to a chatbot that responds like a pirate."
+examples = [["¿How are you"]]
+
+iface = gr.Interface(
+    fn=predict,
+    title=title,
+    description=description,
+    examples=examples,
+    inputs=gr.inputs.Textbox(label="Your message"),
+    outputs=gr.outputs.Textbox(label="Answer Chatbot"),
+).launch()