Update app.py

app.py

@@ -1,3 +1,28 @@
 import gradio as gr
+from transformers import AutoModelForCausalLM, AutoTokenizer
+import torch
 
-gr.load("models/google/gemma-2b-it").launch()
+# Load the model and tokenizer
+model_name = "google/gemma-2b-it"
+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")
+    outputs = model.generate(inputs.input_ids, max_length=100, num_return_sequences=1)
+    response = tokenizer.decode(outputs[0], skip_special_tokens=True)
+    return response
+
+# Create the Gradio interface
+iface = gr.Interface(
+    fn=chatbot,
+    inputs="text",
+    outputs="text",
+    title="AI Chatbot",
+    description="A chatbot using the google/gemma-2b-it model."
+)
+
+# Launch the app
+if __name__ == "__main__":
+    iface.launch()