Create app.py

app.py

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+# app.py
+
+import os
+import requests
+from datetime import datetime
+import gradio as gr
+from openai import OpenAI
+
+# Load secrets from Hugging Face environment
+openai_api_key = os.getenv("OPENAI_API_KEY")
+weather_api_key = os.getenv("WEATHER_API_KEY")
+
+client = OpenAI(api_key=openai_api_key)
+
+top_cities = ["New York", "London", "Tokyo", "Paris", "Dubai", "Singapore", "Sydney", "Toronto", "Mumbai", "Berlin"]
+
+def get_weather(city_name):
+    url = "http://api.openweathermap.org/data/2.5/weather"
+    params = {"q": city_name, "appid": weather_api_key, "units": "metric"}
+    response = requests.get(url, params=params)
+    data = response.json()
+    if response.status_code == 200:
+        return data["main"]["temp"], data["weather"][0]["description"], data["coord"]["lat"], data["coord"]["lon"]
+    return None, None, None, None
+
+def get_air_quality(lat, lon):
+    url = "http://api.openweathermap.org/data/2.5/air_pollution"
+    params = {"lat": lat, "lon": lon, "appid": weather_api_key}
+    response = requests.get(url, params=params)
+    data = response.json()
+    if response.status_code == 200:
+        aqi = data["list"][0]["main"]["aqi"]
+        levels = {1: "Good 😊", 2: "Fair 🙂", 3: "Moderate 😐", 4: "Poor 😷", 5: "Very Poor 😫"}
+        return f"Air Quality Index: {aqi} ({levels.get(aqi, 'Unknown')})"
+    return "❌ Could not retrieve air quality info."
+
+def weather_chat(city, custom_city, user_query):
+    selected_city = custom_city if custom_city else city
+    temp, condition, lat, lon = get_weather(selected_city)
+    if temp is None:
+        return f"❌ Could not fetch weather for '{selected_city}'."
+    report = f"The current temperature in {selected_city} is {temp}°C with {condition}."
+    hour = datetime.now().hour
+    time_context = "morning" if hour < 12 else "afternoon" if hour < 17 else "evening"
+    alert = "⚠️ You may want to postpone any outdoor events." if "rain" in condition or "storm" in condition else ""
+    aqi_info = get_air_quality(lat, lon)
+    messages = [
+        {"role": "system", "content": "You are a helpful weather assistant. Give Celsius responses. Encourage user to be positive and appreciate the weather."},
+        {"role": "user", "content": f"{report}\nTime: {time_context}\n{aqi_info}\n{alert}\nUser asked: {user_query}"}
+    ]
+    try:
+        response = client.chat.completions.create(
+            model="gpt-3.5-turbo", messages=messages, temperature=0, max_tokens=350
+        )
+        return response.choices[0].message.content
+    except Exception as e:
+        return f"❌ OpenAI API Error: {e}"
+
+def get_recommendation(city, custom_city):
+    selected_city = custom_city if custom_city else city
+    temp, condition, lat, lon = get_weather(selected_city)
+    if temp is None:
+        return f"❌ Could not fetch weather for '{selected_city}'."
+    aqi = get_air_quality(lat, lon)
+    hour = datetime.now().hour
+    time_context = "morning" if hour < 12 else "afternoon" if hour < 17 else "evening"
+    system_msg = "You are a weather lifestyle advisor. Based on temperature, weather, AQI, and time of day, suggest clothes, food, and activities."
+    user_msg = f"City: {selected_city}\nTemperature: {temp}°C\nCondition: {condition}\nTime: {time_context}\nAir Quality: {aqi}"
+    try:
+        response = client.chat.completions.create(
+            model="gpt-3.5-turbo",
+            messages=[{"role": "system", "content": system_msg}, {"role": "user", "content": user_msg}],
+            temperature=0.3,
+            max_tokens=300
+        )
+        return f"{aqi}\n\n{response.choices[0].message.content}"
+    except Exception as e:
+        return f"❌ OpenAI API Error: {e}"
+
+# Gradio Interface
+with gr.Blocks(title="Weather Assistant Bot") as demo:
+    with gr.Tabs():
+        with gr.TabItem("🌦️ Weather Chat"):
+            gr.Markdown("### Ask about current weather and get advice")
+            city = gr.Dropdown(choices=top_cities, label="Select City")
+            custom_city = gr.Textbox(label="Or Enter Your Own City")
+            query = gr.Textbox(label="Enter Weather-related Question")
+            output = gr.Textbox(label="Response", lines=8)
+            btn = gr.Button("Get Weather Info")
+            btn.click(fn=weather_chat, inputs=[city, custom_city, query], outputs=output)
+
+        with gr.TabItem("🌫️ AQI & Lifestyle Tips"):
+            gr.Markdown("### Check Air Quality and Get Personalized Recommendations")
+            city2 = gr.Dropdown(choices=top_cities, label="Select City")
+            custom_city2 = gr.Textbox(label="Or Enter Your Own City")
+            aqi_output = gr.Textbox(label="AQI & Recommendation", lines=10)
+            aqi_btn = gr.Button("Check AQI & Get Tips")
+            aqi_btn.click(fn=get_recommendation, inputs=[city2, custom_city2], outputs=aqi_output)
+
+demo.launch()