Create src/streamlit_app.py

src/streamlit_app.py

@@ -0,0 +1,299 @@
+import streamlit as st
+import requests
+import os
+import datetime
+from openai import OpenAI
+
+# =============================
+# CONFIG
+# =============================
+st.set_page_config(
+    page_title="🌾 Smart Agro AI",
+    layout="wide",
+    initial_sidebar_state="collapsed"
+)
+
+# Groq Client
+client = OpenAI(
+    api_key=os.environ.get("GROQ_API_KEY"),
+    base_url="https://api.groq.com/openai/v1"
+)
+
+# =============================
+# HEADER
+# =============================
+st.title("🌾 Smart Agro AI")
+st.caption("An intelligent farming system that uses Artificial Intelligence to help farmers make better decisions.")
+
+# =============================
+# MENU
+# =============================
+menu = st.radio(
+    "",
+    ["🌦 Weather",
+     "🌾 Crop Estimator",
+     "📈 Market & Profit",
+     "🧪 Fertilizer AI",
+     "📅 Crop Calendar",
+     "🤖 Smart Advisory",
+     "💬 Chatbot"],
+    horizontal=True
+)
+
+# =============================
+# WEATHER
+# =============================
+if menu == "🌦 Weather":
+
+    st.subheader("🌦 Live Weather")
+    city = st.text_input("Enter City Name")
+
+    def get_coordinates(city):
+        geo_url = f"https://geocoding-api.open-meteo.com/v1/search?name={city}"
+        geo_data = requests.get(geo_url).json()
+
+        if "results" in geo_data:
+            return geo_data["results"][0]["latitude"], geo_data["results"][0]["longitude"]
+        return None, None
+
+    if st.button("Get Weather"):
+        with st.spinner("Fetching weather..."):
+            lat, lon = get_coordinates(city)
+
+            if lat:
+                weather_url = f"https://api.open-meteo.com/v1/forecast?latitude={lat}&longitude={lon}&current_weather=true"
+                data = requests.get(weather_url).json()
+
+                temp = data["current_weather"]["temperature"]
+                wind = data["current_weather"]["windspeed"]
+
+                st.success(f"🌡 Temperature in {city}: {temp}°C")
+                st.info(f"💨 Wind Speed: {wind} km/h")
+
+                if wind > 25:
+                    st.warning("💨 Strong wind detected — avoid spraying.")
+                elif wind > 15:
+                    st.info("💨 Moderate wind — safe activities.")
+                else:
+                    st.success("💨 Calm wind — ideal conditions.")
+            else:
+                st.error("City not found.")
+
+# =============================
+# CROP ESTIMATOR
+# =============================
+elif menu == "🌾 Crop Estimator":
+
+    st.subheader("🌾 Crop Cost & Yield Estimator")
+
+    crops = {
+        "Wheat": {"cost": 50000, "yield": 30},
+        "Rice": {"cost": 60000, "yield": 35},
+        "Maize": {"cost": 45000, "yield": 28},
+        "Sugarcane": {"cost": 80000, "yield": 60},
+        "Cotton": {"cost": 70000, "yield": 25}
+    }
+
+    crop = st.selectbox("Select Crop", list(crops.keys()))
+    area = st.number_input("Enter land area (acres)", min_value=1)
+
+    if st.button("Calculate"):
+        total_cost = crops[crop]["cost"] * area
+        total_yield = crops[crop]["yield"] * area
+
+        st.success(f"💰 Estimated Cost: Rs {total_cost}")
+        st.info(f"🌾 Expected Yield: {total_yield} maunds")
+
+# =============================
+# MARKET & PROFIT
+# =============================
+elif menu == "📈 Market & Profit":
+
+    st.subheader("📈 Market Price & Profit Predictor")
+
+    prices = {
+        "Wheat": 3900,
+        "Rice": 4500,
+        "Maize": 3500,
+        "Sugarcane": 3000,
+        "Cotton": 8500
+    }
+
+    crop = st.selectbox("Select Crop", list(prices.keys()))
+    area = st.number_input("Enter land area (acres)", min_value=1)
+
+    if st.button("Predict Profit"):
+        avg_yield = 30
+        revenue = avg_yield * area * prices[crop]
+        cost = 50000 * area
+        profit = revenue - cost
+
+        st.success(f"💰 Revenue: Rs {revenue}")
+        st.warning(f"📉 Cost: Rs {cost}")
+        st.info(f"🏆 Profit: Rs {profit}")
+
+# =============================
+# FERTILIZER AI
+# =============================
+elif menu == "🧪 Fertilizer AI":
+
+    st.subheader("🧪 Smart Fertilizer Recommendation")
+
+    crop = st.text_input("Enter crop name")
+
+    if st.button("Get Recommendation"):
+        if crop.lower() == "wheat":
+            rec = "Use Urea + DAP. Apply Nitrogen in split doses."
+        elif crop.lower() == "rice":
+            rec = "Apply NPK 20-20-20 and maintain flooded field."
+        else:
+            rec = "Use balanced NPK fertilizer with organic compost."
+
+        st.success(rec)
+
+# =============================
+# CROP CALENDAR
+# =============================
+# =============================
+# 📅 ADVANCED CROP CALENDAR
+# =============================
+elif menu == "📅 Crop Calendar":
+
+    st.subheader("📅 Seasonal Crop Calendar (Pakistan)")
+
+    # Crop Data
+    crops_data = {
+        "Wheat": {
+            "sowing": ["November", "December"],
+            "harvest": ["April", "May"],
+            "use": "Staple food crop (flour, roti, bread)"
+        },
+        "Rice": {
+            "sowing": ["June", "July"],
+            "harvest": ["October", "November"],
+            "use": "Staple food crop (boiled rice, export)"
+        },
+        "Maize": {
+            "sowing": ["February", "March", "July", "August"],
+            "harvest": ["June", "November"],
+            "use": "Food, poultry feed, industrial use"
+        },
+        "Cotton": {
+            "sowing": ["April", "May"],
+            "harvest": ["September", "October"],
+            "use": "Textile industry"
+        },
+        "Sugarcane": {
+            "sowing": ["February", "March", "September", "October"],
+            "harvest": ["November", "December", "January", "February", "March"],
+            "use": "Sugar production"
+        },
+        "Mustard": {
+            "sowing": ["October", "November"],
+            "harvest": ["February", "March"],
+            "use": "Cooking oil"
+        },
+        "Gram (Chickpea)": {
+            "sowing": ["October", "November"],
+            "harvest": ["March", "April"],
+            "use": "Pulse / protein food"
+        },
+        "Sunflower": {
+            "sowing": ["January", "February", "June"],
+            "harvest": ["May", "June", "October"],
+            "use": "Cooking oil"
+        }
+    }
+
+    # User selects month
+    selected_month = st.selectbox(
+        "Select Month",
+        ["January","February","March","April","May","June",
+         "July","August","September","October","November","December"]
+    )
+
+    st.info(f"📆 Selected Month: {selected_month}")
+
+    sowing_crops = []
+    harvest_crops = []
+
+    for crop, details in crops_data.items():
+        if selected_month in details["sowing"]:
+            sowing_crops.append((crop, details["use"]))
+        if selected_month in details["harvest"]:
+            harvest_crops.append((crop, details["use"]))
+
+    st.markdown("### 🌱 Crops to Sow")
+
+    if sowing_crops:
+        for crop, use in sowing_crops:
+            st.success(f"🌾 {crop} — Use: {use}")
+    else:
+        st.write("No major sowing crop this month.")
+
+    st.markdown("### 🌾 Crops to Harvest")
+
+    if harvest_crops:
+        for crop, use in harvest_crops:
+            st.warning(f"🌾 {crop} — Use: {use}")
+    else:
+        st.write("No major harvesting crop this month.")
+# =============================
+# SMART ADVISORY
+# =============================
+elif menu == "🤖 Smart Advisory":
+
+    st.subheader("🤖 AI Farming Advisory")
+
+    advisory_crop = st.text_input("Crop")
+    advisory_soil = st.selectbox("Soil Type", ["Sandy", "Clay", "Loamy"])
+    advisory_season = st.selectbox("Season", ["Summer", "Winter", "Monsoon", "Spring"])
+
+    if st.button("Generate Advisory"):
+        with st.spinner("Generating..."):
+            prompt = f"""
+            You are an expert agricultural advisor.
+            Crop: {advisory_crop}
+            Soil: {advisory_soil}
+            Season: {advisory_season}
+            Provide fertilizer, irrigation, disease prevention, yield and market advice.
+            """
+
+            try:
+                response = client.responses.create(
+                    model="openai/gpt-oss-20b",
+                    input=prompt
+                )
+                st.success("✅ Advisory Generated")
+                st.write(response.output_text)
+            except Exception as e:
+                st.error(str(e))
+
+# =============================
+# CHATBOT
+# =============================
+elif menu == "💬 Chatbot":
+
+    st.subheader("💬 Farming Assistant Chatbot")
+
+    if "messages" not in st.session_state:
+        st.session_state.messages = []
+
+    for msg in st.session_state.messages:
+        st.chat_message(msg["role"]).write(msg["content"])
+
+    if prompt := st.chat_input("Ask farming question..."):
+        st.session_state.messages.append({"role": "user", "content": prompt})
+        st.chat_message("user").write(prompt)
+
+        try:
+            response = client.responses.create(
+                model="openai/gpt-oss-20b",
+                input=prompt
+            )
+            reply = response.output_text
+        except Exception as e:
+            reply = str(e)
+
+        st.session_state.messages.append({"role": "assistant", "content": reply})
+        st.chat_message("assistant").write(reply)