trying simple chat function

app.py

@@ -114,38 +114,41 @@ client.upload_records(
 print("Records uploaded........................................")
 print("###########################################################")
 
-def chat(question):
-
-    hits = client.search(
-        collection_name="my_facts",
-        query_vector=encoder.encode(question).tolist(),
-        limit=3
-    )
-    context = []
-    for hit in hits:
-      context.append(list(hit.payload.values())[0])
+# def chat(question):
+
+#     hits = client.search(
+#         collection_name="my_facts",
+#         query_vector=encoder.encode(question).tolist(),
+#         limit=3
+#     )
+#     context = []
+#     for hit in hits:
+#       context.append(list(hit.payload.values())[0])
     
-    context = context[0] + context[1] + context[2]
+#     context = context[0] + context[1] + context[2]
 
-    system_prompt = """You are a helpful assistant, you will use the provided context to answer user questions.
-    Read the given context before answering questions and think step by step. If you can not answer a user question based on 
-    the provided context, inform the user. Do not use any other information for answering user. Provide a detailed answer to the question."""
+#     system_prompt = """You are a helpful assistant, you will use the provided context to answer user questions.
+#     Read the given context before answering questions and think step by step. If you can not answer a user question based on 
+#     the provided context, inform the user. Do not use any other information for answering user. Provide a detailed answer to the question."""
 
 
-    B_INST, E_INST = "[INST]", "[/INST]"
+#     B_INST, E_INST = "[INST]", "[/INST]"
 
-    B_SYS, E_SYS = "<<SYS>>\n", "\n<</SYS>>\n\n"
+#     B_SYS, E_SYS = "<<SYS>>\n", "\n<</SYS>>\n\n"
 
-    SYSTEM_PROMPT = B_SYS + system_prompt + E_SYS
+#     SYSTEM_PROMPT = B_SYS + system_prompt + E_SYS
 
-    instruction = f""" 
-    Context: {context}
-    User: {question}"""
+#     instruction = f""" 
+#     Context: {context}
+#     User: {question}"""
 
-    prompt_template = B_INST + SYSTEM_PROMPT + instruction + E_INST
+#     prompt_template = B_INST + SYSTEM_PROMPT + instruction + E_INST
 
-    result = llm(prompt_template)
-    return result 
+#     result = llm(prompt_template)
+#     return result 
+
+def chat(question):
+    return "hello " + question
 
 screen = gr.Interface(
     fn = chat,