Update app.py

app.py

@@ -1,7 +1,25 @@
 import gradio as gr
+from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
 
-def greet(name):
-    return "Hello " + name + "!!"
+# Load the fine-tuned model and tokenizer
+model = AutoModelForSeq2SeqLM.from_pretrained("Codellama-7b-Instruct")
+tokenizer = AutoTokenizer.from_pretrained("Codellama-7b-Instruct")
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+# Define a function to generate a response from the model
+def generate_response(input_text):
+    inputs = tokenizer(input_text, return_tensors="pt")
+    outputs = model.generate(**inputs)
+    response = tokenizer.decode(outputs[0])
+    return response
+
+# Create a Gradio interface
+interface = gr.Interface(generate_response, input_type="text", output_type="text",
+                         title="Codellama-7b-Instruct Chatbot",
+                         description="A chatbot powered by the Codellama-7b-Instruct model.",
+                         article="This chatbot is fine-tuned on a dataset of instructional text and can be used to generate responses to natural language prompts.",
+                         theme="default",
+                         share=True,
+                         enable_chat=True)
+
+# Launch the interface on a local server
+interface.launch()