DrishtiSharma commited on
Commit
b62fcd0
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1 Parent(s): 1e9aadf

Update app.py

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Files changed (1) hide show
  1. app.py +13 -4
app.py CHANGED
@@ -53,6 +53,7 @@ if "df" not in st.session_state:
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  # Dataset Input
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  input_option = st.radio("Select Dataset Input:", ["Use Hugging Face Dataset", "Upload CSV File"])
 
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  if input_option == "Use Hugging Face Dataset":
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  dataset_name = st.text_input("Enter Hugging Face Dataset Name:", value="Einstellung/demo-salaries")
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  if st.button("Load Dataset"):
@@ -61,15 +62,23 @@ if input_option == "Use Hugging Face Dataset":
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  dataset = load_dataset(dataset_name, split="train")
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  st.session_state.df = pd.DataFrame(dataset)
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  st.success(f"Dataset '{dataset_name}' loaded successfully!")
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- st.dataframe(st.session_state.df.head())
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  except Exception as e:
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  st.error(f"Error: {e}")
 
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  elif input_option == "Upload CSV File":
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  uploaded_file = st.file_uploader("Upload CSV File:", type=["csv"])
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  if uploaded_file:
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- st.session_state.df = pd.read_csv(uploaded_file)
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- st.success("File uploaded successfully!")
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- st.dataframe(st.session_state.df.head())
 
 
 
 
 
 
 
 
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  # SQL-RAG Analysis
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  if st.session_state.df is not None:
 
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  # Dataset Input
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  input_option = st.radio("Select Dataset Input:", ["Use Hugging Face Dataset", "Upload CSV File"])
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+
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  if input_option == "Use Hugging Face Dataset":
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  dataset_name = st.text_input("Enter Hugging Face Dataset Name:", value="Einstellung/demo-salaries")
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  if st.button("Load Dataset"):
 
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  dataset = load_dataset(dataset_name, split="train")
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  st.session_state.df = pd.DataFrame(dataset)
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  st.success(f"Dataset '{dataset_name}' loaded successfully!")
 
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  except Exception as e:
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  st.error(f"Error: {e}")
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+
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  elif input_option == "Upload CSV File":
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  uploaded_file = st.file_uploader("Upload CSV File:", type=["csv"])
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  if uploaded_file:
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+ try:
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+ st.session_state.df = pd.read_csv(uploaded_file)
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+ st.success("File uploaded successfully!")
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+ except Exception as e:
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+ st.error(f"Error loading file: {e}")
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+
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+ # Display Dataset Preview
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+ if st.session_state.df is not None:
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+ st.subheader("πŸ“‚ Dataset Preview")
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+ st.dataframe(st.session_state.df.head())
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+
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  # SQL-RAG Analysis
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  if st.session_state.df is not None: