Create app.py

app.py

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+import gradio as gr
+from transformers import AutoModelForCausalLM, AutoTokenizer
+import torch
+
+# Load the model and tokenizer
+model_name = "indonlp/cendol-llama2-7b-chat"  
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForCausalLM.from_pretrained(model_name)
+
+# Define the chatbot function
+def chatbot(input_text):
+    inputs = tokenizer(input_text, return_tensors="pt")
+    with torch.no_grad():
+        outputs = model.generate(inputs.input_ids, max_length=1000, do_sample=True)
+    response = tokenizer.decode(outputs[0], skip_special_tokens=True)
+    return response
+
+# Create the Gradio interface
+interface = gr.ChatInterface(
+    fn=chatbot,
+    title="Cendol Chatnot",
+    description="Ask any coding-related questions and get helpful responses."
+)
+
+# Launch the web UI
+interface.launch(share=True)