Update app.py

app.py

@@ -1,12 +1,9 @@
 import gradio as gr
 import requests
 
-# Set constants
+# Constants
 API_KEY = '91b23cab82ee530b2052c8757e343b0d'
 OPENAI_API_KEY = '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'
-START_SEQUENCE = "\nAI:"
-RESTART_SEQUENCE= "\nHuman:"
-PROMPT = "The following is a conversation with AI assistant. The assistant is helpful, kind, witty, and clever."
 
 def kelvin_to_celsius(temp_kelvin):
     return temp_kelvin - 273.15
@@ -21,10 +18,8 @@ def get_weather(city_name, api_key):
         main_data = data.get("main", {})
         weather_data = data.get("weather", [{}])[0]
         temperature = kelvin_to_celsius(main_data.get("temp", 0))
-        pressure = main_data.get("pressure", "N/A")
-        humidity = main_data.get("humidity", "N/A")
         weather_description = weather_data.get("description", "N/A")
-        return temperature, pressure, humidity, weather_description
+        return temperature, weather_description
     else:
         return None
 
@@ -42,54 +37,35 @@ def openai_create(prompt):
         "top_p": 1,
         "frequency_penalty": 0,
         "presence_penalty": 0.6,
-        "stop": ["Human:", "AI:"]
+        "stop": ["\n"]
     }
     response = requests.post(openai_url, headers=headers, json=data)
     response_data = response.json()
     return response_data['choices'][0]['text'].strip()
 
-def compare_weather(city1, city2):
+def summarize_weather(city1, city2):
     weather1 = get_weather(city1, API_KEY)
     weather2 = get_weather(city2, API_KEY)
     
     if weather1 and weather2:
         comparison = f"""
-        {city1}:
-        Temperature: {weather1[0]:.2f}°C
-        Pressure: {weather1[1]} hPa
-        Humidity: {weather1[2]}%
-        Condition: {weather1[3]}
+        In {city1}, the current weather is {weather1[1]} with a temperature of {weather1[0]:.2f}°C.
         
-        {city2}:
-        Temperature: {weather2[0]:.2f}°C
-        Pressure: {weather2[1]} hPa
-        Humidity: {weather2[2]}%
-        Condition: {weather2[3]}
+        Meanwhile, in {city2}, it's {weather2[1]} and the temperature is {weather2[0]:.2f}°C.
         """
         summary = openai_create(comparison)
         return summary
     else:
         return "Error fetching weather data for one or both cities."
 
-def chatgpt_clone(input, history):
-    """Function to simulate chat with GPT-like behavior."""
-    history = history or []
-    s = list(sum(history, ()))
-    s.append(input)
-    inp = ' '.join(s)
-    output = openai_create(inp)
-    history.append((input, output))
-    return history, history
+# Gradio interface
+interface = gr.Interface(
+    fn=summarize_weather,
+    inputs=[
+        gr.Textbox(default="New York", placeholder="Enter City 1"),
+        gr.Textbox(default="Los Angeles", placeholder="Enter City 2")
+    ],
+    outputs="text"
+)
 
-# Gradio Interface
-block = gr.Blocks()
-
-with block:
-    gr.Markdown("""<h1><center> CHATGPT PRIVATE ASSISTANT WITH OPENAI AND GRADIO</center></h1>""")
-    chatbot = gr.Chatbot()
-    message = gr.Textbox(placeholder=PROMPT)
-    state = gr.State()
-    submit = gr.Button("SEND")
-    submit.click(chatgpt_clone, inputs=[message, state], outputs=[chatbot, state])
-
-block.launch(debug=True)
+interface.launch(debug=True)