Final commit

main.py

@@ -165,32 +165,7 @@ async def plot(user_need:str=Form(...),file:UploadFile=File(...)):
         
         df = pd.read_excel(io=io.BytesIO(file_bytes))
         
-#        message = f"""
-#You are a helpful assistant that helps users write Python code.
-### Requirements:
-#-you will be given a task and you will write the code to solve the task.
-#-you have a dataset called **df** contains the following information:
-#df.columns:{df.columns.to_list()}
-#df.dtypes:{df.dtypes.to_dict()}
-#
-#-you have to write the code to solve the task using the dataset df.
-#-you can use pandas to manipulate the dataframe.
-#-you can use matplotlib to plot the data.
-#-you can use seaborn to plot the data.
-#-don't use print or input statements in the code.
-#-don't use any other libraries except pandas, matplotlib, seaborn.
-#-don't use any other functions except the ones provided in the libraries.
-#-don't write the code for the dataframe creation.
-#-check if the columns has a nan values and raise exception if yes .
-#-exclude plt.show() from the code.
-#-you have to write the code in a markdown code block.
-#-make sure that the type of the chart is compatible with the dtypes of the columns 
-#-use only the column specified in the task.
-#-you have to extract the column names and the plot type  from the prompt bellow  and use them in the code.
-#-if the user task is not clear or there is an error like the column names are not in the dataframe, raise an 
-#error.
-###Prompt: {user_need}.
-#        """
+
         prompt = [
     {"role": "system", "content": f'''You are a helpful assistant that helps users write Python code.
 -you have to write the code to solve the task using the dataset df.

static/scripts/data-visualisation.js

@@ -62,8 +62,8 @@ document.addEventListener("DOMContentLoaded", function () {
 	});
 
 	newVisualizationBtn.addEventListener("click", function () {
-		fileInput.files = [];
-		//fileName.textContent = "No Data chosen";
+		fileInput.files[0] = null;
+
 		promptInput.value = "";
 		resultsSection.style.display = "none";