chore: dep

app.py

@@ -59,8 +59,13 @@ examples = [
 ]
 
 def predict(message, history):
+    # Always inject the user message into the system prompt's {input} placeholder
+    sys_prompt = system_prompt.replace("{input}", message)
     if not history or history[0].get("role") != "system":
-        history = [{"role": "system", "content": system_prompt}] + history
+        history = [{"role": "system", "content": sys_prompt}] + history
+    else:
+        history[0]["content"] = sys_prompt
+        
     history.append({"role": "user", "content": message})
 
     # 1. Build prompt from history using chat template

pyproject.toml → requirements.txt

@@ -1,13 +1,16 @@
 [project]
-name = "hf-customer-service-chatbot"
+name = "ai-customer-service-chatbot"
 version = "0.1.0"
-description = "A customer service chatbot using Hugging Face Transformers and Gradio"
+description = "A customer service chatbot using Hugging Face, LangChain, Gradio, and Streamlit"
 requires-python = "==3.11.*"
 
 dependencies = [
     "python-dotenv>=1.0.1",
-    "huggingface-hub>=0.27.0",
     "accelerate>=1.3.0",
+    "faiss-cpu>=1.10.0",
+    "safetensors>=0.4.5",
     "transformers==4.49.0",
-    "gradio>=5.23.0"
+    "gradio>=5.23.0",
+    "datasets",
+    "bitsandbytes"
 ]