app.py

import gradio as gr
import openai
import json
import os
import requests




# Initialize OpenAI client your openai key
openai.api_key = os.getenv('yek_oaipen')
weather_api_key = os.getenv('openweather')

def get_current_weather(location, unit='celsius'):
    base_url = f"http://api.openweathermap.org/data/2.5/weather?q={location}&appid={weather_api_key}&units=metric"
    response = requests.get(base_url)
    data = response.json()

    weather_description = data['weather'][0]['description']
    return {
        "location": location,
        "temperature": data['main']['temp'],
        "weather": weather_description
    }


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"
                },
                "unit": {
                    "type": "string",
                    "enum": ["celsius", "fahrenheit"]
                }
            },
            "required": ["location"]
        }
    }
]


#Function Definition and Initial Message Handling
def weather_chat(user_message):
    messages=[]
    messages.append({"role": "user", "content": user_message})
    messages.append({"role": "assistant", "content": "You are a weather bot . Answer only in Celsius."})



        # Sending Initial Message to OpenAI
    response = openai.ChatCompletion.create(
            model="gpt-3.5-turbo",
            temperature = 0,
            max_tokens=256,
            top_p=0.5,
            frequency_penalty=0,
            presence_penalty=0,
            messages=messages,
            functions=functions
        )

    #Handling Function Calls and Fetching Weather Data
    try:
        function_call = response['choices'][0]['message']['function_call']
        arguments = eval(function_call['arguments'])

        # Fetch weather data using the extracted arguments
        weather_data = get_current_weather(arguments['location'])

        # Append the function call and weather data to the messages
        messages.append({"role": "assistant", "content": None, "function_call": {"name": "get_current_weather", "arguments": str(arguments)}})
        messages.append({"role": "function", "name": "get_current_weather", "content": str(weather_data)})

#magic of llm
        response = openai.ChatCompletion.create(
            model="gpt-3.5-turbo",
            messages=messages
        )

        return response['choices'][0]['message']['content']
    except Exception as e:
        return "I'm here to provide weather updates. Please ask me questions related to weather."



# Define Gradio interface
iface = gr.Interface(
    fn=weather_chat,
    inputs=gr.Textbox(label="Weather Queries"),
    outputs=gr.Textbox(label="Weather Updates"),
    title = "Weather Bot",
    description = "Ask me anything about weather!"
)

# Launch the Gradio interface
iface.launch(share="True")