Update app.py

app.py

@@ -4,6 +4,7 @@ from document_scrapped import get_data
 import langchain
 from qa_txt import conversation_chain
 # from key_extract import chain
+from langchain_core.prompts import PromptTemplate
 from bs4 import BeautifulSoup
 import requests
 from data_process import *
@@ -26,7 +27,7 @@ from gradio_client import Client
 
 file_text = pathlib.Path('intents_v2.txt').read_text()
 
-prompt = hub.pull("hwchase17/react")
+#prompt = hub.pull("hwchase17/react")
 
 def faq(query: str) -> str:
     reponse = conversation_chain.invoke({"input": query, 'document': file_text})
@@ -56,7 +57,6 @@ analyze_data = StructuredTool.from_function(
     """
 )
 
-
 def request_data(query: str) -> str:
     mot_cle = nettoyer_string(query)
     mots = mot_cle.split()
@@ -118,6 +118,30 @@ fetch_data = StructuredTool.from_function(
 #     """,
 # )
 
+
+
+template = '''Answer the following questions as best you can. You have access to the following tools:
+
+{tools}
+
+Use the following format:
+
+Question: the input question you must answer
+Thought: you should always think about what to do
+Action: the action to take, should be one of [{tool_names}]
+Action Input: the input to the action
+Observation: the result of the action, don't include /nObservation in the end of each observation just what you observed
+... (this Thought/Action/Action Input/Observation can repeat N times) 
+Thought: I now know the final answer
+Final Answer: the final answer to the original input question and must always be in french no matter what.
+
+Begin!
+
+Question: {input}
+Thought:{agent_scratchpad}'''
+
+prompt_2 = PromptTemplate.from_template(template)
+
 tools_add = [
     qa_faq,
     fetch_data,
@@ -125,13 +149,14 @@ tools_add = [
     # translate_text,
 ]
 
-agent = create_react_agent(llm=llm, tools=tools_add, prompt=prompt)
+agent = create_react_agent(llm=llm, tools=tools_add, prompt=prompt_2)
 
 agent_executor = AgentExecutor(
     agent=agent,
     tools=tools_add,
     verbose=True,
     max_iterations = 10,
+    handle_parsing_errors=True,
     #max_execution_time = 45, optionel mais useful dans le deployement
     
 )