Update app.py

app.py

@@ -1,52 +1,12 @@
-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.")
-
+from gradio import inputs
+description = "Story generation with GPT-2"
+interface = gr.Interface.load("huggingface/pranavpsv/gpt2-genre-story-generator", 
+	title = "Story Generation with GPT-2",
+	inputs = [
+        gr.inputs.Textbox(lines=7, label="Story"),
+    ],
+    description=description,
+    examples=[["Adventurer is approached by a mysterious stranger in the tavern for a new quest"]]
+)
 interface.launch()