code to help response

app.py

@@ -6,10 +6,27 @@ tokenizer = AutoTokenizer.from_pretrained(model_name, trust_remote_code=True)
 model = AutoModelForCausalLM.from_pretrained(model_name, trust_remote_code=True)
 
 def pathly_chat(prompt):
-    inputs = tokenizer(prompt, return_tensors="pt")
-    outputs = model.generate(**inputs, max_new_tokens=100)
+    if not prompt.strip():
+        return "Please enter a question about web development!"
+    system_prompt = (
+        "You are Pathly_AI, a friendly and knowledgeable assistant for web development. "
+        "Answer clearly and provide helpful resources when possible.\n"
+    )
+    full_prompt = system_prompt + prompt
+    inputs = tokenizer(full_prompt, return_tensors="pt")
+    outputs = model.generate(
+        **inputs, 
+        max_new_tokens=50,
+        temperature=0.7,
+        top_p=0.95
+    )
     response = tokenizer.decode(outputs[0], skip_special_tokens=True)
     return response
 
-demo = gr.Interface(fn=pathly_chat, inputs="text", outputs="text", title="Pathly_AI Chat")
+demo = gr.ChatInterface(
+    pathly_chat,
+    title="Pathly_AI Chat",
+    description="Ask me anything about web development, HTML, CSS, or programming!",
+    theme="soft"
+)
 demo.launch()

requirements.txt

@@ -1,3 +1,5 @@
 gradio
 torch
 transformers==4.42.1
+sentencepiece
+safetensors