Create app.py

app.py

@@ -0,0 +1,20 @@
+import gradio as gr
+import torch
+from transformers import pipeline
+
+def generate_text(prompt):
+    messages = [
+        {"role": "system", "content": "You are a code assistant"},
+        {"role": "user", "content": prompt},
+    ]
+    formatted_prompt = pipe.tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
+    outputs = pipe(formatted_prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
+    generated_text = outputs[0]["generated_text"]
+    return generated_text
+
+# Load the model pipeline
+pipe = pipeline("text-generation", model="TinyLlama/TinyLlama-1.1B-Chat-v1.0", torch_dtype=torch.bfloat16, device_map="auto")
+
+# Create Gradio interface
+iface = gr.Interface(fn=generate_text, inputs="text", outputs="text", live=True, title="Chatbot Assistant")
+iface.launch()