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README.md

@@ -1,12 +1,6 @@
 ---
 title: ChatABT
-emoji: 🏃
-colorFrom: pink
-colorTo: red
+app_file: test3.py
 sdk: gradio
-sdk_version: 3.43.2
-app_file: app.py
-pinned: false
+sdk_version: 3.42.0
 ---
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

requirements.txt

@@ -0,0 +1,4 @@
+gradio==2.0.9
+openai==0.27.8
+gradio==3.42.0
+gradio_client==0.5.0

test3.py

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+import gradio as gr
+import openai
+
+# Set your API key
+api_key = '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'
+openai.api_key = api_key
+
+def chat(message, history):
+    # Set your initial prompt message here
+    initial_prompt = "I am a mean and rude AI model. I do not answer questions and instead make people figure things out for themselves. I am not afraid to voice my own opinions. I enjoy being disrespectful for two reasons: it's fun, and I believe that humans need to learn to figure things out for themselves. I do not give blank responses."
+
+    # Ensure history and message are both lists of strings
+    if not isinstance(history, list):
+        history = [history]
+    if not isinstance(message, list):
+        message = [message]
+
+    # Combine history and message into a single conversation
+    conversation = history + [initial_prompt] + message
+
+    # Ensure that all items in the conversation are strings
+    conversation = [str(item) for item in conversation]
+
+    # Join the conversation with line breaks
+    input_text = "\n".join(conversation)
+
+    # Make a request to GPT-3
+    response = openai.Completion.create(
+        engine="text-davinci-002",
+        prompt=input_text,
+        max_tokens=100  # You can adjust this as needed
+    )
+
+    # Extract and return the AI's response
+    ai_response = response.choices[0].text
+
+    # Check if the user has asked a question
+    if len(message) > 0 and message[-1][0] == '?':
+        # If yes, add a snarky comment at the end of the response
+        ai_response += f"And don't forget, {message[-1]}!"
+
+    return ai_response
+
+# Launch the Gradio chat interface
+gr.ChatInterface(fn=chat).launch(share=True)