Update app.py

app.py

@@ -1,33 +1,27 @@
-#import gradio as gr
-
-#def greet(name):
-    #return "Hello " + name + "!!"
-
-#iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-#iface.launch()
+import openai
 import gradio as gr
-from Conversation import Conversation
-prompt = """你是一个中国厨师，用中文回答做菜的问题。你的回答需要满足以下要求:
-1. 你的回答必须是中文
-2. 回答限制在100个字以内"""
-
-conv = Conversation(prompt, 10)
-
-def answer(question, history=[]):
-    history.append(question)
-    response = conv.ask(question)
-    history.append(response)
-    responses = [(u,b) for u,b in zip(history[::2], history[1::2])]
-    return responses, history
-
-with gr.Blocks(css="#chatbot{height:300px} .overflow-y-auto{height:500px}") as demo:
-    chatbot = gr.Chatbot(elem_id="chatbot")
-    state = gr.State([])
-
-    with gr.Row():
-        #txt = gr.Textbox(show_label=False, placeholder="Enter text and press enter").style(container=False)
-        txt = gr.Textbox(show_label=False, placeholder="Enter text and press enter")
-
-    txt.submit(answer, [txt, state], [chatbot, state])
 
-demo.launch()
+openai.api_key = "sk-R3HlMsYBk0NpAlLu2aA4B19054Ea4884A2Cf93D25662243d"  # Replace with your key
+openai.api_base="https://apai.zyai.online/v1"
+
+def predict(message, history):
+    history_openai_format = []
+    for human, assistant in history:
+        history_openai_format.append({"role": "user", "content": human })
+        history_openai_format.append({"role": "assistant", "content":assistant})
+    history_openai_format.append({"role": "user", "content": message})
+
+    response = openai.ChatCompletion.create(
+        model='gpt-3.5-turbo',
+        messages= history_openai_format,
+        temperature=1.0,
+        stream=True
+    )
+
+    partial_message = ""
+    for chunk in response:
+        if len(chunk['choices'][0]['delta']) != 0:
+            partial_message = partial_message + chunk['choices'][0]['delta']['content']
+            yield partial_message
+
+gr.ChatInterface(predict).queue().launch()