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app.py

@@ -1,18 +1,26 @@
+import openai
 import gradio as gr
-import time
 
-def echo(message, history, system_prompt, tokens):
-    response = f"System prompt: {system_prompt}\n Message: {message}."
-    for i in range(min(len(response), int(tokens))):
-        time.sleep(0.05)
-        yield response[: i+1]
+openai.api_key = "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"  # Replace with your key
 
-with gr.Blocks() as demo:
-    system_prompt = gr.Textbox("You are helpful AI.", label="System Prompt")
-    slider = gr.Slider(10, 100, render=False)
+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})
 
-    gr.ChatInterface(
-        echo, additional_inputs=[system_prompt, slider]
+    response = openai.ChatCompletion.create(
+        model='gpt-3.5-turbo',
+        messages= history_openai_format,
+        temperature=1.0,
+        stream=True
     )
 
-demo.launch()
+    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).launch()