init

README.md

@@ -1,5 +1,5 @@
 ---
-title: Test
+title: HelloWorld
 emoji: 🦀
 colorFrom: red
 colorTo: blue

app.py

@@ -1,10 +1,27 @@
+from openai import OpenAI
 import gradio as gr
-import time
 
-def count_files(message, history):
-    num_files = len(message["files"])
-    return f"You uploaded {num_files} files"
+api_key = "sk-proj-KyHyIzEDLKe94DhrSq6LT3BlbkFJynj2NRPnnRwdDSV3XaZY"  # Replace with your key
+client = OpenAI(api_key=api_key)
 
-demo = gr.ChatInterface(fn=count_files, examples=[{"text": "Hello", "files": []}], title="Echo Bot", multimodal=True)
 
-demo.launch()
+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 = client.chat.completions.create(model='gpt-3.5-turbo',
+                                              messages=history_openai_format,
+                                              temperature=1.0,
+                                              stream=True)
+
+    partial_message = ""
+    for chunk in response:
+        if chunk.choices[0].delta.content is not None:
+            partial_message = partial_message + chunk.choices[0].delta.content
+            yield partial_message
+
+
+gr.ChatInterface(predict).launch()

requirements.txt

@@ -0,0 +1,3 @@
+transformers
+torch
+openai