Create app.py

app.py

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+import streamlit as st
+import pytesseract
+from pdf2image import convert_from_bytes
+import google.generativeai as genai
+
+# Configure Google Gemini API
+GEMINI_API_KEY = os.getenv('GEMINI')
+genai.configure(api_key=GEMINI_API_KEY)
+
+# Streamlit UI
+st.set_page_config(page_title="Soil Report Analyzer", layout="wide")
+st.title("🌱 Soil Report Analyzer")
+st.write("Upload a **scanned soil report (PDF)** to generate a farmer-friendly soil analysis!")
+
+# File Upload
+uploaded_file = st.file_uploader("📂 Upload a scanned PDF report", type=["pdf"])
+
+# Optional crop input
+crop_planted = st.text_input("🌾 Enter the crop you are currently growing (optional):", "")
+
+def extract_text_from_pdf(uploaded_file):
+    """Extract text from scanned PDF using OCR"""
+    if uploaded_file is None:
+        return None
+
+    images = convert_from_bytes(uploaded_file.read())
+    extracted_text = ""
+
+    for image in images:
+        extracted_text += pytesseract.image_to_string(image) + "\n"
+
+    return extracted_text.strip()
+
+def summarize_soil_report(report_text, crop):
+    """Summarize the extracted soil report using Gemini Flash"""
+    model = genai.GenerativeModel("gemini-1.5-flash")
+    prompt = f"""
+    Analyze the given soil report and generate a **farmer-friendly** soil analysis. If a crop is provided ('{crop}'), evaluate its suitability based on the soil conditions and suggest better crops if needed.
+
+    ### **Key Insights to Include:**
+    1. **Soil pH Level** - Determine if the soil is acidic, neutral, or alkaline and suggest corrections.
+    2. **Nutrient Content** - Assess nitrogen, phosphorus, potassium, organic carbon, and other nutrients; suggest improvements if needed.
+    3. **Moisture Content & Irrigation Needs** - Provide irrigation best practices based on soil type.
+    4. **Crop Suitability Analysis** - Determine if '{crop}' is a good fit and suggest better alternatives if necessary.
+    5. **Soil Improvement Tips** - Offer actionable suggestions for farmers.
+
+    ### **Soil Report Extracted Data:**
+    {report_text}
+    """
+    response = model.generate_content(prompt)
+    return response.text if response else "Summary could not be generated."
+
+if uploaded_file:
+    if st.button("📊 Analyze Soil Report"):
+        with st.spinner("Processing... ⏳"):
+            extracted_text = extract_text_from_pdf(uploaded_file)
+            if extracted_text:
+                summary = summarize_soil_report(extracted_text, crop_planted)
+
+                st.subheader("📌 Farmer-Friendly Soil Analysis")
+                st.write(summary)
+
+                # Option to download summary
+                st.download_button("📥 Download Summary as Text", summary, file_name="Soil_Report_Summary.txt")
+            else:
+                st.error("⚠️ Could not extract text from the PDF. Please try again.")
+
+st.info("👆 Upload a scanned soil report PDF and click 'Analyze Soil Report' to begin.")