removed max_tokens

app.py

@@ -690,23 +690,13 @@ If you are asked for a comma separated list, apply the above rules depending of
 You also have access to a set of tools, which you can use to answer the question. The available tools with their descriptions are:
 {tool_descriptions}
 
-For each question, follow this format:
-Question: the input question you must answer
-Thought: your reasoning about what to do next
-Action: the action to take, must be one of the tools above if required. If tool not required, just write "no_action"
-Action Input: the input to the action
-Observation: the result of the action
-... (repeat Thought/Action/Action Input/Observation as needed)
-Final Answer: the answer to the original question, as concise as possible (number, short string, or comma-separated list, no extra explanation).
-
-If you cannot answer, respond with "no_answer".
-
 If there is a file (image, audio, or video) attached to the question, you should use the process_attachment tool to process it and follow the instructions below:
  - For audio or video attachments, the process_attachment tool will transcribe the audio and return the transcript, which you can use to answer the question. 
  -  For image attachments, the process_attachment tool will return a base64 encoded string of the image. You can use this encoded information to provide answer.
 
  If the question is related to sports, awards, historical facts or similar topic that can be answered from wikipedia, you should use the 'sports_awards_historicalfacts_tool' or if the question is similar or related that can be searched in wikipedia, use the more specific tool 'wikipedia_summary' to fetch relevant page information and answer from it. 
 In general, you must use tools only if needed for the question and only if the question can be answered by one of the provided tools. Otherwise provide the answer based on your knowledge. You must not use multiple tools in a single call. Don't hallucinate.
+If you cannot answer, respond with "no_answer".
 
 """
 
@@ -763,7 +753,7 @@ chat_llm = ChatOpenAI(
     openai_api_key=OPENAI_KEY,
     model_name=OPENAI_MODEL,
     temperature=0.2,
-    max_tokens=10
+    # max_tokens=10
 )
 
 # chat = ChatHuggingFace(llm=llm, verbose=True)