Update app.py

app.py

@@ -27,7 +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})
@@ -49,11 +49,14 @@ qa_faq = StructuredTool.from_function(
 analyze_data = StructuredTool.from_function(
     func=get_data,
     description = """
-    Analyze and summarize data from a given url asked by the user to summarize or analyze dont use it with the tool request_data .
+    Analyze and summarize data from a given url asked by the user to summarize or analyze dont use it with the tool request_data and the user must write analyze before this function get executed .
     Parameters : 
     - url (string) : the url given by the user.
     Returns :
     - string : A summary about the data extracted and some insights about it in french obligatory.
+    Example:
+    >>> analyse this data of this link : https://data.gov.ma/data/fr/dataset/evolution-des-affaires-au-cours-du-quinquennat-2018-2022
+    >>> input : https://data.gov.ma/data/fr/dataset/evolution-des-affaires-au-cours-du-quinquennat-2018-2022
     """
 )
 
@@ -71,11 +74,20 @@ def request_data(query: str) -> str:
 fetch_data = StructuredTool.from_function(
     func=request_data,
     description="""
-    Request and fetch data using a search keyword in french must be always converted in french for the website data.gov.ma and return the results without analyse them.
+    Request and fetch data using a search keyword and return the results without analyse them.
     Parameters :
-    - query (string) : the same input as the user input no more no less and always it must be in french if it isn't already. For example : "give me data about health" the input is health in french which is santé, same for other languages and the words translatted must be nouns not adjectives or verbs also the user may request data about an organization where you need to take just the main subject for example "Je veux les données de l'agence de développement digitale" you take just "développement".
+    - query (string) : the same input as the user input no more no less and always it must be in french if it isn't already.Same for other languages and the words translatted must be nouns not adjectives or verbs also the user may request data about an organization where you need to take just the main subject for example "Je veux les données de l'agence de développement digitale" you take just "développement".
     Returns :
     - string : the output as returned from the function in french , includes the link to all the data about the keyword along with an example.
+    Examples:
+    >>> Give me data about water
+    >>> input : eau
+    >>> Give me data about ADD
+    >>> input : ADD
+    >>> Je veux les données culturelles
+    >>> input : culture
+    >>> Je veux les données de justice
+    >>> input : justice
     """,
 )
 # def request_data(query: str) -> str:
@@ -120,27 +132,27 @@ fetch_data = StructuredTool.from_function(
 
 
 
-template = '''Answer the following questions as best you can. You have access to the following tools:
+# template = '''Answer the following questions as best you can. You have access to the following tools:
 
-{tools}
+# {tools}
 
-Use the following format:
+# Use the following format:
 
-Question: the input question you must answer and must be in french if not translate it in french
-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.
+# Question: the input question you must answer and must be in french if not translate it in french
+# 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!
+# Begin!
 
-Question: {input}
-Thought:{agent_scratchpad}'''
+# Question: {input}
+# Thought:{agent_scratchpad}'''
 
-prompt_2 = PromptTemplate.from_template(template)
+# prompt_2 = PromptTemplate.from_template(template)
 
 tools_add = [
     qa_faq,
@@ -149,7 +161,7 @@ tools_add = [
     # translate_text,
 ]
 
-agent = create_react_agent(llm=llm, tools=tools_add, prompt=prompt_2)
+agent = create_react_agent(llm=llm, tools=tools_add, prompt=prompt)
 
 agent_executor = AgentExecutor(
     agent=agent,