Update chatbot_memory.py

chatbot_memory.py

@@ -1,81 +1,29 @@
-'''from openai import OpenAI
-from dotenv import load_dotenv
-import os
-from prompts import ai_motivational_speaker
-
-load_dotenv()
-api_key = os.getenv("GEMINI_API_KEY")
-model="gemini-2.5-flash-lite"
-base_url="https://generativelanguage-googleapis.com/v1beta/openai/" 
-
-client= OpenAI(base_url=base_url, api_key=api_key)
-
-ai_motivational_speaker = ai_motivational_speaker
-'''
-'''
-def get_response(message, history):
-    messages=({"role":"system","content":ai_motivational_speaker})
-    messages.extend(history)
-    messages.append({"role":"user","content":message})
-    response = client.chat.completions.create(
-    model=model,
-    messages = messages)
-
-    ai_response = response.choices[0].message.content
-    return ai_response
-
-print(get_response("   hh  h   hhh  h  ", []))*'''
-'''
-def get_response(message, history):
-    # Start messages with the system prompt to set the AI's persona
-    messages = [{"role": "system", "content": ai_motivational_speaker}]
-
-    # Extend the messages list with the existing chat history
-    messages.extend(history)
-
-    # Add the current user's message to the conversation
-    messages.append({"role": "user", "content": message})
-
-    # Call the OpenAI API to get a completion from the Gemini model
-    response = client.chat.completions.create(model="gemini-2.5-flash", messages=messages)
-    # Extract the AI's response content
-    ai_response = response.choices[0].message.content
-    
-    # Return the AI's generated response
-    return ai_response
-
-# Main execution block to test the chatbot function
-if __name__ == "__main__":
-    # Print a test conversation with the chatbot
-    print(get_response("Hello, Caramel AI! Can you tell me what AI is?", []))'''
-
-
-from openai import OpenAI
-from dotenv import load_dotenv
-import os
-from prompts import ai_motivational_speaker
-
-load_dotenv()
-api_key = os.getenv("GEMINI_API_KEY")
-model ="gemini-2.5-flash-lite"
-base_url = "https://generativelanguage.googleapis.com/v1beta/openai/"
-
-client = OpenAI(api_key=api_key, base_url=base_url)
-
-ai_motivational_speaker = ai_motivational_speaker
-
-
-def get_response(message, history):
-    messages = [{"role": "system", "content": ai_motivational_speaker}] 
-    messages.extend(history)
-    messages.append({"role": "user", "content": message})
-    response  = client.chat.completions.create(
-        model=model,
-        messages=messages
-    )
-    Ai_response = response.choices[0].message.content
-    return Ai_response
-
-#if __name__ == "__main__":
-   
+from openai import OpenAI
+from dotenv import load_dotenv
+import os
+from prompts import ai_Travel_Assistant
+
+load_dotenv()
+api_key = os.getenv("GEMINI_API_KEY")
+model ="gemini-2.5-flash-lite"
+base_url = "https://generativelanguage.googleapis.com/v1beta/openai/"
+
+client = OpenAI(api_key=api_key, base_url=base_url)
+
+ai_Travel_Assistant = ai_Travel_Assistant
+
+
+def get_response(message, history):
+    messages = [{"role": "system", "content": ai_Travel_Assistant}] 
+    messages.extend(history)
+    messages.append({"role": "user", "content": message})
+    response  = client.chat.completions.create(
+        model=model,
+        messages=messages
+    )
+    Ai_response = response.choices[0].message.content
+    return Ai_response
+
+#if __name__ == "__main__":
+   
    # print(get_response("Hello, Caramel AI! Can you tell me what AI is?", []))