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.env

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+OPENAI_API_KEY = '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'

README.md

@@ -1,12 +1,6 @@
 ---
-title: MiniChatBot
-emoji: 🚀
-colorFrom: gray
-colorTo: green
-sdk: gradio
-sdk_version: 3.38.0
+title: miniChatBot
 app_file: app.py
-pinned: false
+sdk: gradio
+sdk_version: 3.37.0
 ---
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

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+import os
+import openai
+import gradio as gr
+from dotenv import load_dotenv
+
+load_dotenv()
+openai.api_key = os.environ['OPENAI_API_KEY']
+
+messages = [
+    {"role": "system", 
+     "content": "你是算塔罗牌的专家，帮助人们算塔罗牌."}, 
+]
+
+def chat(message, history):
+    if message:
+        messages.append({"role": "user", "content": message})
+        response = openai.ChatCompletion.create(
+            model="gpt-3.5-turbo", messages=messages
+        )
+        reply = response.choices[0].message.content
+        # messages.append({"role": "assistant", "content": reply})
+        return reply
+    
+# def chat(user_input):
+#     if user_input:
+#         messages.append({"role": "user", "content": user_input})
+#         response = openai.ChatCompletion.create(
+#             model="gpt-3.5-turbo", messages=messages
+#         )
+#         reply = response.choices[0].message.content
+#         messages.append({"role": "assistant", "content": reply})
+#         return reply
+
+inputs = gr.inputs.Textbox(label="User input")
+outputs = gr.outputs.Textbox(label="Response")
+
+chatInterface = gr.ChatInterface(
+    fn=chat, 
+    # inputs=inputs, 
+    # outputs=outputs, 
+    title="AI 塔罗",
+    )
+
+chatInterface.launch(share=True)

flagged/log.csv

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+name,output,flag,username,timestamp
+joey,Hello joey!,,,2023-07-19 22:37:33.742753