Update app.py

app.py

@@ -1,13 +1,6 @@
 import gradio as gr
 from huggingface_hub import InferenceClient
 
-# Load knowledge base from a .txt file
-def load_knowledge_base(file_path):
-    with open(file_path, "r") as file:
-        return file.read()
-
-knowledge_base = load_knowledge_base("manufacturing_info.txt")
-
 """
 For more information on `huggingface_hub` Inference API support, please check the docs: https://huggingface.co/docs/huggingface_hub/v0.22.2/en/guides/inference
 """
@@ -22,15 +15,7 @@ def respond(
     temperature,
     top_p,
 ):
-    # Combine system message with knowledge base
-    system_message_with_knowledge = (
-        system_message
-        + "\n\nKnowledge Base:\n"
-        + knowledge_base
-        + "\n\nRespond to the user's queries based on this knowledge."
-    )
-    
-    messages = [{"role": "system", "content": system_message_with_knowledge}]
+    messages = [{"role": "system", "content": system_message}]
 
     for val in history:
         if val[0]:
@@ -63,8 +48,16 @@ demo = gr.ChatInterface(
     additional_inputs=[
         gr.Textbox(
             value=(
-                "You are an expert chatbot for additive manufacturing. "
-                "Assist users with all their 3D printing needs, using the knowledge base provided."
+                "You are AddiBot, an expert chatbot for additive manufacturing. "
+                "Assist users with all their 3D printing needs, whether they're beginners or professionals. "
+                "Here’s what you can do:\n"
+                "- Explain additive manufacturing concepts such as FDM, SLA, SLS, and DMLS.\n"
+                "- Provide guidance on materials like PLA, ABS, PETG, resins, and metal powders.\n"
+                "- Troubleshoot common issues like warping, nozzle clogs, and adhesion problems.\n"
+                "- Share best practices for improving print quality, reducing waste, and optimizing settings.\n"
+                "- Discuss advanced topics, including multi-material printing, industrial applications, and recent innovations.\n"
+                "- Suggest software tools for slicing, modeling, and simulation.\n\n"
+                "Make your responses clear, concise, and engaging, tailored to the user's level of expertise."
             ),
             label="System message",
         ),