Create app.py

app.py

@@ -0,0 +1,52 @@
+import openai
+import gradio as gr
+import json
+
+openai.api_key = "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"
+
+def save_conversation():
+    with open('conversation.json', 'w') as f:
+        json.dump(messages, f)
+
+def load_conversation():
+    try:
+        with open('conversation.json', 'r') as f:
+            return json.load(f)
+    except FileNotFoundError:
+        return []
+
+messages = load_conversation()
+
+if not messages:
+    messages.append({"role": "system", "content": "You are a knowledgeable assistant specialized in recruiting and hiring, and familiar with ADP Workforce Now Recruitment and various hiring and CRM tools."})
+
+def CustomChatGPT(user_input):
+    messages.append({"role": "user", "content": user_input})
+
+    # Ensure the conversation fits within the model's maximum token limit
+    conversation = messages[-4096:]
+
+    try:
+        response = openai.ChatCompletion.create(
+            model="gpt-3.5-turbo",
+            messages=conversation,
+            max_tokens=1000,
+            temperature=0.7)
+    except openai.api_resources.request_error.RequestError as e:
+        print(f"Received error from OpenAI: {e}")
+        return "I'm sorry, but I'm unable to generate a response at this time."
+
+    ChatGPT_reply = response["choices"][0]["message"]["content"]
+    messages.append({"role": "assistant", "content": ChatGPT_reply})
+    
+    save_conversation()
+
+    return ChatGPT_reply
+
+interface = gr.Interface(fn=CustomChatGPT, 
+                         inputs="textbox", 
+                         outputs="textbox", 
+                         title="HR HELPER", 
+                         description="Chat with a specialized assistant that can answer questions about recruiting, hiring, and various HR and CRM tools. Developed by A. Leschik.")
+
+interface.launch()