Update app.py

app.py

@@ -1,8 +1,12 @@
 import gradio as gr
 import requests
-import openai
 
-openai.api_key = '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'
+# Set 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
@@ -24,15 +28,29 @@ def get_weather(city_name, api_key):
     else:
         return None
 
-def summarize_text(text):
-    """Summarize the provided text using OpenAI."""
-    response = openai.Completion.create(engine="davinci", prompt=f"Summarize the following weather comparison:\n\n{text}", max_tokens=150)
-    return response.choices[0].text.strip()
+def openai_create(prompt):
+    """Use OpenAI API directly to get response."""
+    openai_url = "https://api.openai.com/v1/engines/text-davinci-003/completions"
+    headers = {
+        "Authorization": f"Bearer {OPENAI_API_KEY}",
+        "Content-Type": "application/json"
+    }
+    data = {
+        "prompt": prompt,
+        "temperature": 0.7,
+        "max_tokens": 256,
+        "top_p": 1,
+        "frequency_penalty": 0,
+        "presence_penalty": 0.6,
+        "stop": ["Human:", "AI:"]
+    }
+    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):
-    api_key = "91b23cab82ee530b2052c8757e343b0d"
-    weather1 = get_weather(city1, api_key)
-    weather2 = get_weather(city2, api_key)
+    weather1 = get_weather(city1, API_KEY)
+    weather2 = get_weather(city2, API_KEY)
     
     if weather1 and weather2:
         comparison = f"""
@@ -48,22 +66,30 @@ def compare_weather(city1, city2):
         Humidity: {weather2[2]}%
         Condition: {weather2[3]}
         """
-        summary = summarize_text(comparison)
+        summary = openai_create(comparison)
         return summary
     else:
         return "Error fetching weather data for one or both cities."
 
-# Sample cities for dropdown
-cities = ["New York", "Los Angeles", "London", "Paris", "Tokyo", "Sydney", "Moscow", "Mumbai", "Cape Town", "Rio de Janeiro"]
+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
 
-interface = gr.Interface(
-    fn=compare_weather,
-    inputs=[
-        gr.components.Dropdown(choices=cities, label="City 1"),
-        gr.components.Dropdown(choices=cities, label="City 2")
-    ],
-    outputs="text"
-)
+# Gradio Interface
+block = gr.Blocks()
 
-if __name__ == "__main__":
-    interface.launch()
+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)