Duplicate from SourcezZ/chat_gpt_space

Co-authored-by: source <SourcezZ@users.noreply.huggingface.co>

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README.md

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+---
+title: Chat Gpt Space
+emoji: 📚
+colorFrom: purple
+colorTo: blue
+sdk: gradio
+sdk_version: 3.20.0
+app_file: app.py
+pinned: false
+duplicated_from: SourcezZ/chat_gpt_space
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

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+import json
+import openai
+import os
+
+openai.api_key = os.environ["API_KEY"]  # 首先要有apikey
+messages = [{"role": "system", "content": "你是一个得力助手"}]
+
+
+def chatgpt(content, temperature=0.8):
+    global messages
+    print(f'ask:{content}')
+    messages.append({"role": "user", "content": content})
+    try:
+        response = openai.ChatCompletion.create(
+            model="gpt-3.5-turbo-0301",  # 或者 gpt-3.5-turbo-0301
+            messages=messages,
+            temperature=temperature,
+            max_tokens=1000,
+            top_p=1,
+            frequency_penalty=0,
+            presence_penalty=0,
+        )
+    except Exception as e:
+        messages = [{"role": "system", "content": "你是一个得力助手"}]
+        return '本次互动消息已达上限，已清空Token，请重新输入'
+    messages.append(json.loads(str(response.choices[0].message)))
+    print(f'answer:{response.choices[0].message.content}')
+    return response.choices[0].message.content
+
+
+if __name__ == "__main__":
+    import gradio as gr
+
+
+    def send_chatgpt(text):
+        output = chatgpt(text, 0.8)
+        return output
+
+
+    input_text = gr.inputs.Textbox(label="输入问题：")
+    output_text = gr.outputs.Textbox(label="回答：")
+    interface = gr.Interface(fn=send_chatgpt, inputs=input_text, outputs=output_text, title="ChatGPT问答")
+    # interface.launch(share=True)
+    interface.launch()