from flask import Flask, render_template, request from markupsafe import Markup import google.generativeai as genai from openai import OpenAI import os import dotenv dotenv.load_dotenv() app = Flask(__name__) # API Keys GEMINI_API_KEY = os.getenv('GEMINI_API_KEY') NVIDIA_API_KEY = os.getenv('NVIDIA_API_KEY') # Initialize Gemini if GEMINI_API_KEY: genai.configure(api_key=GEMINI_API_KEY) # Initialize NVIDIA nvidia_client = None if NVIDIA_API_KEY: nvidia_client = OpenAI( base_url="https://integrate.api.nvidia.com/v1", api_key=NVIDIA_API_KEY ) def call_llm(prompt): """Call LLM with Gemini -> NVIDIA fallback.""" # 1. Gemini Fallback if GEMINI_API_KEY: for model_name in ["gemini-2.5-flash", "gemini-2.5-flash-lite"]: try: print(f" >> Trying Gemini {model_name}...") model = genai.GenerativeModel(model_name) response = model.generate_content(prompt) if response and response.text: print(f" >> SUCCESS with {model_name}") return response.text except Exception as e: print(f" >> {model_name} failed: {e}") continue # 2. NVIDIA Fallback if nvidia_client: nvidia_models = ["meta/llama-3.1-405b-instruct", "meta/llama-3.1-70b-instruct", "google/gemma-3-27b-it"] for model_name in nvidia_models: try: print(f" >> Trying NVIDIA {model_name}...") response = nvidia_client.chat.completions.create( model=model_name, messages=[{"role": "user", "content": prompt}], max_tokens=4096, temperature=0.3 ) print(f" >> SUCCESS with {model_name}") return response.choices[0].message.content except Exception as e: print(f" >> {model_name} failed: {e}") continue return "

Error: All AI models failed. Please check API keys.

" @app.route('/', methods=['GET', 'POST']) def index(): if request.method == 'POST': # Retrieve farm details location = request.form.get('location') total_area = request.form.get('total_area') language = request.form.get('language', 'English') # Retrieve crop details structure crop_seasons = request.form.getlist('crop_season') crop_names = request.form.getlist('crop_name') crop_areas = request.form.getlist('crop_area') crops = [] for s, n, a in zip(crop_seasons, crop_names, crop_areas): if n.strip() and a.strip(): crops.append(f"{s}: {n.strip()} ({a.strip()} acres)") current_plan = " | ".join(crops) prompt = f""" You are an advanced agricultural economist. I will provide the farmer's **Current Annual Crop Cycle**. Your task is to generate a **3-Year Optimization Plan** and explicitly explain **WHY their current plan is losing money/underperforming** compared to the potential. **Inputs:** - Location: {location} - Total Area: {total_area} acres - Current Annual Plan: {current_plan} **OUTPUT FORMAT INSTRUCTIONS:** Generate ONLY the HTML content inside `
` tags. Use the specific CSS classes below. **Structure & CSS Classes to Use:** 1. **Executive Summary (2 Cards):** Use `
` containing: - Card 1: **Projected Annual Net Profit** (Value in `stat-value`) - Card 2: **Revenue Increase** (Value in `stat-value` with `color: #1a5d3a`) 2. **GAP ANALYSIS (Why the Loss?):** Header: `

Input Strategy Analysis

` Use `
` (I will add this CSS): - `

Inefficiencies Detected in Current Plan:

` - `
    ` - `
  • [Factor 1]: [Explanation, e.g., 'Monoculture of Wheat increases pest risk and fertilizer cost by 20%']
    • ` - `
  • [Factor 2]: [Explanation, e.g., 'Missing Zaid season leaves 4 months of revenue potential on the table']
    • ` - `
  • [Factor 3]: [Explanation]
    • ` - `
` 3. **Annual Financial Breakdown (Single Bar):** Header: `

Projected Financials

` Use `
`: - Title: `
Breakdown (Avg Annual) Total Rev: [Value]
` - Stacked Bar: `
` - `
Cost [Value]
` - `
Profit [Value]
` - Legend included below. 4. **3-Year Crop Rotation (Vertical Stalk):** Header: `

Crop Rotation Journey

` Use `
`: - **For EACH Year (1, 2, 3):** `
` `
` `
` `Year 1` `Est. Income: [Value]` `
` `` `` `` `` `` `` `` `` `` `` `` `` `` `` `` `` `` `` `` `
SeasonCropExp/Rev/Profit
Kharif[Crop Name]Exp: [Val]
Prof: [Val]
Rabi[Crop Name]Exp: [Val]
Prof: [Val]
Zaid[Crop Name]Exp: [Val]
Prof: [Val]
` `
` `
` 5. **Comparison Table:** Header: `

Strategy Comparison

` Use `
` with ``. - Columns: Metric, Current Annual Plan, Proposed (Avg Annual), Change. - Rows: Gross Revenue, Total Cost, Net Profit. - **COLOR LOGIC:** - **Total Cost:** Identify if Cost Increases or Decreases. Mark "Cost Increase" as `` (Red). Mark "Cost Decrease" as `` (Green). - **Net Profit:** Increase = Positive (Green). **Guidelines:** - **Language:** {language} - **REALISM:** Ensure the gap isn't exaggerated. If the current plan is decent, say so. If it's bad, explain EXACTLY why (e.g., pests, soil depletion, unused seasons). """ try: print(f"\n[CROP REVENUE] Generating report for {location}...") result_html = call_llm(prompt) result_html = result_html.strip() # Remove markdown code blocks if result_html.startswith("```html"): result_html = result_html[7:] if result_html.startswith("```"): result_html = result_html[3:] if result_html.endswith("```"): result_html = result_html[:-3] return render_template('index.html', result=Markup(result_html.strip())) except Exception as e: error_message = f"Error generating crop strategy: {str(e)}" return render_template('index.html', error=error_message) return render_template('index.html') if __name__ == '__main__': app.run(debug=True, port=5003)