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Update app.py
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app.py
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# app.py โ BizIntelย AIย Ultra (Gemini
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import os
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import tempfile
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@@ -8,21 +8,23 @@ import google.generativeai as genai
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from tools.csv_parser import parse_csv_tool
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from tools.plot_generator import plot_sales_tool
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from tools.forecaster import forecast_tool #
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# โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
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# 1. GEMINI CONFIG (1.5โPro, temperature 0.7)
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# โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
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genai.configure(api_key=os.getenv("GEMINI_APIKEY"))
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gemini = genai.GenerativeModel(
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)
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# โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
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# 2. STREAMLIT PAGE
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# โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
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st.set_page_config(page_title="BizIntel AI Ultra โ Geminiย 1.5ย Pro", layout="wide")
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st.title("๐ BizIntelย AIย Ultraย โ Advanced Analytics Pipeline")
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@@ -42,29 +44,25 @@ with open(csv_path, "wb") as f:
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f.write(csv_file.read())
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st.success("CSV saved to temporary storage โ
")
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# Preview first rows
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df_preview = pd.read_csv(csv_path, nrows=5)
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st.dataframe(df_preview)
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# โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
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# 4. DATE COLUMN SELECTION
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# โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
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date_col = st.selectbox("Choose the date/time column for forecasting", df_preview.columns)
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# โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
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#
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# โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
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with st.spinner("๐ Parsing CSVโฆ"):
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summary_text = parse_csv_tool(csv_path)
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with st.spinner("๐ Generating sales trend chartโฆ"):
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_ = plot_sales_tool(csv_path) #
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with st.spinner("๐ฎ Forecasting future metricsโฆ"):
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forecast_text = forecast_tool(csv_path, date_col=date_col) # pass chosen column
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# โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
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#
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# โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
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prompt = (
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f"You are **BizIntel Strategist AI**.\n\n"
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"Return Markdown with:\n"
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"1. **Five key insights** (bullet list)\n"
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"2. **Three actionable strategies** (with expected impact)\n"
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"3. **Risk factors or anomalies**
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"4. **Suggested additional visuals**
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)
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st.subheader("๐ Strategy Recommendations (Geminiย 1.5ย Pro)")
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placeholder.markdown(strategy_md)
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# โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
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#
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# โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
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st.markdown("---")
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st.subheader("๐ CSV Summary")
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st.text(summary_text)
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st.image(sales_plot_path, caption="Sales Trend", use_column_width=True)
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if os.path.exists(forecast_plot_path):
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st.image(forecast_plot_path, caption="Forecast Chart", use_column_width=True)
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# app.py โ BizIntelย AIย Ultra (Geminiโฏ1.5ย Pro, selectable date column)
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import os
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import tempfile
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from tools.csv_parser import parse_csv_tool
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from tools.plot_generator import plot_sales_tool
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from tools.forecaster import forecast_tool # accepts date_col
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# โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
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# 1. GEMINI CONFIG (1.5โPro, temperature 0.7)
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# โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
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genai.configure(api_key=os.getenv("GEMINI_APIKEY"))
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gemini = genai.GenerativeModel(
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"gemini-1.5-pro-latest",
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generation_config={
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"temperature": 0.7,
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"top_p": 0.9,
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"response_mime_type": "text/markdown",
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},
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)
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# โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
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# 2. STREAMLIT PAGE SETUP
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# โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
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st.set_page_config(page_title="BizIntel AI Ultra โ Geminiย 1.5ย Pro", layout="wide")
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st.title("๐ BizIntelย AIย Ultraย โ Advanced Analytics Pipeline")
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f.write(csv_file.read())
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st.success("CSV saved to temporary storage โ
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# Preview first rows and let user pick date column
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df_preview = pd.read_csv(csv_path, nrows=5)
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st.dataframe(df_preview)
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date_col = st.selectbox("Choose the date/time column for forecasting", df_preview.columns)
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# โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
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# 4. LOCAL TOOL EXECUTION
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# โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
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with st.spinner("๐ Parsing CSVโฆ"):
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summary_text = parse_csv_tool(csv_path)
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with st.spinner("๐ Generating sales trend chartโฆ"):
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_ = plot_sales_tool(csv_path) # generates sales_plot.png
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with st.spinner("๐ฎ Forecasting future metricsโฆ"):
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forecast_text = forecast_tool(csv_path, date_col=date_col) # pass chosen column
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# โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
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# 5. GEMINI 1.5โPRO STRATEGY (streaming)
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# โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
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prompt = (
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f"You are **BizIntel Strategist AI**.\n\n"
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"Return Markdown with:\n"
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"1. **Five key insights** (bullet list)\n"
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"2. **Three actionable strategies** (with expected impact)\n"
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"3. **Risk factors or anomalies**\n"
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"4. **Suggested additional visuals**\n"
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)
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st.subheader("๐ Strategy Recommendations (Geminiย 1.5ย Pro)")
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placeholder.markdown(strategy_md)
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# โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
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# 6. DISPLAY SUMMARY & CHARTS
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# โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
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st.markdown("---")
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st.subheader("๐ CSV Summary")
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st.text(summary_text)
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if os.path.exists("sales_plot.png"):
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st.image("sales_plot.png", caption="Sales Trend", use_column_width=True)
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if os.path.exists("forecast_plot.png"):
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st.image("forecast_plot.png", caption="Forecast Chart", use_column_width=True)
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