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app.py

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+import os
+import requests
+import gradio as gr
+import openai
+from dotenv import load_dotenv
+
+# Load environment variables
+load_dotenv()
+openai.api_key = os.getenv("OPENAI_API_KEY")
+
+# Define function to get current weather
+def get_current_weather(location):
+    weather_api_key = os.getenv("WEATHER_API_KEY")
+    base_url = f"http://api.openweathermap.org/data/2.5/weather?q={location}&appid={weather_api_key}&units=metric"
+    response = requests.get(base_url, timeout=10)
+    response.raise_for_status()
+    data = response.json()
+    return {
+        "location": location,
+        "temperature": data['main']['temp'],
+        "weather": data['weather'][0]['description']
+    }
+
+# Define chat function
+def weather_chat(user_message):
+    messages = [
+        {"role": "user", "content": user_message},
+        {"role": "assistant", "content": "You are a weather bot. Answer only in Celsius. If two cities are asked, provide weather for both."}
+    ]
+
+    response = openai.ChatCompletion.create(
+        model="gpt-3.5-turbo",
+        temperature=0,
+        max_tokens=256,
+        messages=messages,
+        functions=[
+            {
+                "name": "get_current_weather",
+                "description": "Get the current weather in a given location",
+                "parameters": {
+                    "type": "object",
+                    "properties": {
+                        "location": {"type": "string", "description": "The city, e.g. San Francisco"}
+                    },
+                    "required": ["location"]
+                }
+            }
+        ]
+    )
+
+    function_call = response['choices'][0]['message']['function_call']
+    arguments = eval(function_call['arguments'])
+    weather_data = get_current_weather(arguments['location'])
+
+    messages.append({"role": "assistant", "content": None, "function_call": function_call})
+    messages.append({"role": "function", "name": "get_current_weather", "content": str(weather_data)})
+
+    response = openai.ChatCompletion.create(
+        model="gpt-3.5-turbo",
+        messages=messages
+    )
+
+    return response['choices'][0]['message']['content']
+
+# Define Gradio interface
+iface = gr.Interface(
+    fn=weather_chat,
+    inputs=gr.Textbox(label="Weather Queries"),
+    outputs=gr.Textbox(label="Weather Updates"),
+    title="DDS Weather Bot",
+    description="Ask me anything about weather!"
+)
+
+# Launch the Gradio interface
+iface.launch()

requirements.txt

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+requests==2.28.1 
+gradio
+openai==0.28 
+python-dotenv==1.0.0 
+httpx==0.21.1 
+httpcore==0.14.7