Update app.py

app.py

@@ -1,7 +1,21 @@
 import gradio as gr
+from transformers import AutoTokenizer, AutoModelForCausalLM, pipeline
 
-def greet(name):
-    return "Hello " + name + "!!"
+# Load Mistral 7B instruct model
+model_id = "mistralai/Mistral-7B-Instruct-v0.1"
 
-demo = gr.Interface(fn=greet, inputs="text", outputs="text")
-demo.launch()
+tokenizer = AutoTokenizer.from_pretrained(model_id)
+model = AutoModelForCausalLM.from_pretrained(model_id, device_map="auto")
+
+pipe = pipeline("text-generation", model=model, tokenizer=tokenizer)
+
+def chat_with_expert(message, history):
+    prompt = f"<s>[INST] You are an expert assistant. Answer with clarity and depth.\n{message} [/INST]"
+    response = pipe(prompt, max_new_tokens=256, do_sample=True, temperature=0.7)[0]['generated_text']
+    answer = response.split('[/INST]')[-1].strip()
+    history.append((message, answer))
+    return history, history
+
+chatbot = gr.ChatInterface(fn=chat_with_expert, title="Expert Chat Assistant")
+
+chatbot.launch()