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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()
+
+# Initialize OpenAI client
+openai.api_key = os.getenv("OPENAI_API_KEY1")
+
+# Define function to get current weather
+def get_current_weather(location, unit='celsius'):
+    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"
+    try:
+        response = requests.get(base_url, timeout=10)  # Increased timeout for the request
+        response.raise_for_status()  # Check if the request was successful
+        data = response.json()
+        weather_description = data['weather'][0]['description']
+        return {
+            "location": location,
+            "temperature": data['main']['temp'],
+            "weather": weather_description
+        }
+    except requests.exceptions.Timeout:
+        return {"error": "Request timed out. Please try again later."}
+    except requests.exceptions.RequestException as e:
+        print(f"Request failed: {e}")
+        return {"error": str(e)}
+
+# 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. If two cities are asked, provide weather for both."})
+
+    # Sending initial message to OpenAI
+    try:
+        response = openai.ChatCompletion.create(
+            model="gpt-3.5-turbo",
+            temperature=0,
+            max_tokens=256,
+            top_p=1,
+            frequency_penalty=0,
+            presence_penalty=0,
+            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"},
+                            "unit": {"type": "string", "enum": ["celsius", "fahrenheit"]}
+                        },
+                        "required": ["location"]
+                    }
+                }
+            ]
+        )
+    except Exception as e:
+        print(f"OpenAI API call failed: {e}")
+        return "Failed to communicate with the OpenAI API. Please try again later."
+
+    # Handling function calls and fetching weather data
+    try:
+        function_call = response['choices'][0]['message']['function_call']
+        arguments = eval(function_call['arguments'])
+        weather_data = get_current_weather(arguments['location'])
+        if 'error' in weather_data:
+            return weather_data['error']
+        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)})
+
+        # Continue conversation with weather data
+        response = openai.ChatCompletion.create(
+            model="gpt-3.5-turbo",
+            messages=messages
+        )
+
+        return response['choices'][0]['message']['content']
+    except Exception as e:
+        print(f"Error during processing: {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="DDS Weather Bot",
+    description="Ask me anything about weather!"
+)
+
+# Launch the Gradio interface
+iface.launch(share=True)

requirements.txt

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+requests==2.28.1 
+gradio==3.38.0
+openai==0.28 
+python-dotenv==1.0.0 
+httpx==0.21.1 
+httpcore==0.14.7