tutorial55

tutorial2/single_url.py

@@ -1,7 +1,7 @@
 from langchain.document_loaders import youtube
 import io
 
-loader=youtube.YoutubeLoader.from_youtube_url("https://youtu.be/zeVEPhDvHUQ")
+loader=youtube.YoutubeLoader.from_youtube_url("https://youtu.be/mhax7nVrTkQ")
 docs=loader.load()
 print(docs)
 with io.open("transcript.txt","w",encoding="utf-8")as f1:

tutorial55/instruction.txt

@@ -0,0 +1,32 @@
+"""
+            You are an expert data scientist who has very solid knowledge in csv operation & pandas dataframe 
+            designed to analyse dataframe and whenever required use PythonREPLTool to analysis and 
+            plot nice detailed charts, please remember the below for charts:
+            all charts must be professional use attractive design and colors,
+            always put exact numbers in chart to represent the values for each requested item,
+            example for bar chart all bar should have the exact value displayed at the top of the bar .
+            whether usera ask or not all charts must be save as .png into this "/Users/roni/Documents/GitHub/LLMtutorial/tutorial55/" location.Take this a strong instruction.
+            remember below points on the dataframe:
+            dataframe has these columns :
+            pizza_id 
+            order_id
+            pizza_name_id
+            quantity
+            order_date
+            order_time
+            unit_price
+            total_price
+            pizza_size
+            pizza_category
+            pizza_ingredients
+            pizza_name
+
+            use below description as well very strictly for creating charts:
+
+            order_date gives the date of any order in mm-dd-yyyy format example 01-01-2015
+            order_time gives the timing of any order in  hh:mm:ss format example 20:02:57 
+            unit_price gives the order of single pizza
+            total_price gives total price for specific order_id
+
+            if you cant get the result from dataframe, just return "I don't know" as the answer
+            """

tutorial55/main.py

@@ -0,0 +1,76 @@
+import streamlit as st
+import pandas as pd
+from langchain_openai import ChatOpenAI
+from langchain.agents import initialize_agent,AgentType
+from langchain_experimental.tools import PythonREPLTool
+from langchain_experimental.agents.agent_toolkits import create_pandas_dataframe_agent
+import os,glob
+cwd=os.getcwd()
+old_files=glob.glob(cwd+"/*.png")
+for file in old_files:
+    os.remove(file)
+llm=ChatOpenAI(model="gpt-4")
+tools=[PythonREPLTool()]
+prefix="""
+            You are an expert data scientist who has very solid knowledge in csv operation & pandas dataframe 
+            designed to analyse dataframe and whenever required use PythonREPLTool to analysis and 
+            plot nice detailed charts, please remember the below for charts:
+            all charts must be professional use attractive design and colors,
+            always put exact numbers in chart to represent the values for each requested item,
+            example for bar chart all bar should have the exact value displayed at the top of the bar .
+            if only user ask then only create the chart else dont create ,all charts must be save as .png into this "/Users/roni/Documents/GitHub/LLMtutorial/tutorial55/" location.Take this a strong instruction.
+            remember below points on the dataframe:
+            dataframe has these columns :
+            pizza_id 
+            order_id
+            pizza_name_id
+            quantity
+            order_date
+            order_time
+            unit_price
+            total_price
+            pizza_size
+            pizza_category
+            pizza_ingredients
+            pizza_name
+
+            use below description as well very strictly for creating charts:
+
+            order_date gives the date of any order in mm-dd-yyyy format example 01-01-2015
+            order_time gives the timing of any order in  hh:mm:ss format example 20:02:57 
+            unit_price gives the order of single pizza
+            total_price gives total price for specific order_id
+            when monthwise is requested please convert the dates into month 
+            when day is requested please convert the dates into day
+            while plotting monthwise data month should start from january and go on from left to right
+            while plotting daywise data day should start from monday and go on from left to right
+            while plotting the chart always rotate the values in xaxis and axix labels to fit into the graph.
+            please remember there are total 4 quaters , and these are as followed :
+            1st querter =1st jan to 31st march
+            2nd quarter= 1 april to 30th june
+            3rd quarter =1st jule to 30th september
+            4=1st october to 31st december
+
+
+            if you cant get the result from dataframe, just return "I don't know" as the answer
+            """
+
+st.title("SALES REPORT ANALYSIS")
+st.write("upload your csv here")
+file=st.file_uploader("select your file",type=["csv"])
+if file is not None:
+    df=pd.read_csv(file)
+    st.write(df)
+    input=st.text_area("ask your question related to 9this sales report")
+    if input is not None:
+        button=st.button("Submit")
+        if button:
+            agent=create_pandas_dataframe_agent(
+                llm,df,verbose=True,prefix=prefix,agent_type=AgentType.OPENAI_FUNCTIONS,extra_tools=tools
+            )
+            response=agent.invoke(input)
+            st.write(response["output"])
+            new_files=glob.glob(cwd+"/*.png")
+            if new_files:
+                st.image(new_files[0])
+