Create app.py

app.py

@@ -0,0 +1,52 @@
+import os
+
+os.system('git clone https://huggingface.co/souljoy/chatGPT')
+import requests
+import json
+import gradio as gr
+
+open('chatGPT/Authorization', )
+with open('chatGPT/Authorization', mode='r', encoding='utf-8') as f:
+    for line in f:
+        authorization = line.strip()
+
+url = 'https://api.openai.com/v1/chat/completions'
+headers = {
+    'Content-Type': 'application/json',
+    'Authorization': 'Bearer ' + authorization
+}
+
+
+def predict(msg, history=[]):
+    messages = [{"role": "system", "content": "你是小鹏汽车的数据智能中心（DIC）的智能助手小D"}]
+    for i in range(len(history) - 1, max(0, len(history) - 3)):
+        messages.append({"role": "user", "content": history[i][0]})
+        messages.append({"role": "assistant", "content": history[i][1]})
+    messages.append({"role": "user", "content": msg})
+    data = {
+        "model": "gpt-3.5-turbo",
+        "messages": messages
+    }
+    result = requests.post(url=url,
+                           data=json.dumps(data),
+                           headers=headers
+                           )
+
+    res = result.json()['choices'][0]['message']['content']
+    history.append([msg, res])
+    return history, history, res
+
+
+with gr.Blocks() as demo:
+    chatbot = gr.Chatbot()
+    state = gr.State([])
+
+    with gr.Row():
+        txt = gr.Textbox(label='输入框', placeholder='输入内容...')
+        bu = gr.Button(value='发送')
+    answer_text = gr.Textbox(label='回复')
+
+    bu.click(predict, [txt, state], [chatbot, state, answer_text])
+
+if __name__ == "__main__":
+    demo.launch()