Update app.py
Browse files
app.py
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@@ -5,12 +5,24 @@ import os
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from io import StringIO
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import csv
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# Set page configuration first
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st.set_page_config(page_title="AI-based Solar Project Estimation Tool", layout="centered")
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#
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# Load solar data
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@st.cache_data
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@@ -84,7 +96,7 @@ if st.button("Generate Batch & Download CSV"):
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if location and roof_size > 0 and electricity_bill >= 0:
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csv_buffer = StringIO()
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writer = csv.writer(csv_buffer)
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writer.writerow(["Sequence_no", "Solar Estimate"])
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# Call Gemini API once for the batch generation
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with st.spinner("Generating batch estimates..."):
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@@ -103,3 +115,5 @@ if st.button("Generate Batch & Download CSV"):
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)
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else:
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st.warning("Please fill out all fields to generate batch estimates.")
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from io import StringIO
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import csv
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import streamlit as st
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import pandas as pd
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import google.generativeai as genai
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import os
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from io import StringIO
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import csv
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# Set page configuration first
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st.set_page_config(page_title="AI-based Solar Project Estimation Tool", layout="centered")
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# Get API key from environment variable
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api_key = os.getenv("GOOGLE_API_KEY")
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if not api_key:
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st.error("Google API Key not set. Please set the GOOGLE_API_KEY environment variable.")
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else:
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# Initialize Gemini with the API key
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genai.configure(api_key=api_key) # Ensure your Gemini API key is set correctly
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model = genai.GenerativeModel("gemini-1.5-flash")
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# Load solar data
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@st.cache_data
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if location and roof_size > 0 and electricity_bill >= 0:
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csv_buffer = StringIO()
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writer = csv.writer(csv_buffer)
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writer.writerow(["Sequence_no", "Solar Estimate"] )
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# Call Gemini API once for the batch generation
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with st.spinner("Generating batch estimates..."):
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)
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else:
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st.warning("Please fill out all fields to generate batch estimates.")
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