Update app.py

app.py

@@ -15,24 +15,6 @@ GREETING = (
     "What can I tell you about today?"
 )
 
-# Example queries
-EXAMPLE_QUERIES = [
-    "What is multi-material 3D printing?",
-    "How is additive manufacturing being applied in aerospace?",
-    "Tell me about innovations in metal 3D printing techniques.",
-    "What are some sustainable materials for 3D printing?",
-    "What are the biggest challenges with support structures in additive manufacturing?",
-    "How is 3D printing impacting the medical field?",
-    "What are some common applications of additive manufacturing in industry?",
-    "What are the benefits and limitations of using polymers in 3D printing?",
-    "Are there recent breakthroughs in enhancing precision for additive manufacturing?",
-    "Tell me about the environmental impacts of additive manufacturing.",
-    "What are the primary limitations of current 3D printing technologies?",
-    "What future trends are expected in the field of additive manufacturing?",
-    "How are researchers improving the speed of 3D printing processes?",
-    "What are the best practices for managing post-processing in additive manufacturing?",
-]
-
 # The embedding model name
 EMBEDDING_MODEL_NAME = "all-MiniLM-L12-v2"
 
@@ -108,7 +90,9 @@ def preprocess(query: str, k: int) -> tuple[str, str]:
     )
 
     prompt = (
-        "You are an AI assistant who delights in helping people learn about research from the Design Research Collective, which is a research lab at Carnegie Mellon University led by Professor Chris McComb. "
+        "You are an AI assistant who delights in helping people learn about research. "
+        "Do your best to answer the following question about additive manufacturing research. "
+        "Do not refuse to answer or mention any issues with the research excerpts. "
         "Your main task is to use the RESEARCH_EXCERPTS to provide a concise ANSWER to the USER_QUERY. "
         "DO NOT list references at the end of the answer.\n\n"
         "===== RESEARCH_EXCERPTS =====:\n{{EXCERPTS_GO_HERE}}\n\n"
@@ -164,16 +148,12 @@ def reply(message: str, history: list[str]) -> str:
     for new_token in streamer:
         if new_token != "<":
             partial_message += new_token
-            time.sleep(0.01)
             yield partial_message
 
-    yield partial_message + "\n\n" + bypass
-
 
 # Create and run the gradio interface
 gradio.ChatInterface(
     reply,
-    examples=EXAMPLE_QUERIES,
     chatbot=gradio.Chatbot(
         show_label=False,
         show_share_button=False,