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Update app.py
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app.py
CHANGED
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@@ -50,6 +50,8 @@ elif model_choice == "GPT-4o":
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# Initialize session state for data persistence
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if "df" not in st.session_state:
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st.session_state.df = 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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@@ -61,6 +63,7 @@ if input_option == "Use Hugging Face Dataset":
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with st.spinner("Loading 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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@@ -70,16 +73,16 @@ elif input_option == "Upload CSV File":
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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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if st.session_state.df is not None:
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st.subheader("π 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:
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temp_dir = tempfile.TemporaryDirectory()
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# Initialize session state for data persistence
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if "df" not in st.session_state:
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st.session_state.df = None
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if "show_preview" not in st.session_state:
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st.session_state.show_preview = False
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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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with st.spinner("Loading 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.session_state.show_preview = True # Show preview after loading
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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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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.session_state.show_preview = True # Show preview after loading
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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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# Show Dataset Preview Only After Loading
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if st.session_state.df is not None and st.session_state.show_preview:
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st.subheader("π Dataset Preview")
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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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temp_dir = tempfile.TemporaryDirectory()
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