create app.py

app.py

@@ -0,0 +1,49 @@
+from openai import OpenAI
+import gradio as gr
+import os, json
+# Attempt to load configuration from config.json
+try:
+    with open('config.json') as config_file:
+        config = json.load(config_file)
+    OPENAI_API_KEY = config.get("OPENAI_API_KEY")
+    SYSTEM_PROMPT = config.get("SYSTEM_PROMPT")
+except FileNotFoundError:
+    # If config.json is not found, fall back to environment variables
+    OPENAI_API_KEY = os.getenv("OPENAI_API_KEY")
+    SYSTEM_PROMPT = os.getenv("SYSTEM_PROMPT")
+
+# Fallback to default values if necessary
+if not OPENAI_API_KEY:
+    raise ValueError("OPENAI_API_KEY is not set in config.json or as an environment variable.")
+if not SYSTEM_PROMPT:
+    SYSTEM_PROMPT = "This is a default system prompt."
+
+client = OpenAI(api_key=OPENAI_API_KEY)
+
+system_prompt = {
+    "role": "system",
+    "content": SYSTEM_PROMPT
+}
+
+
+MODEL = "gpt-3.5-turbo"
+
+def predict(message, history):
+    history_openai_format = [system_prompt]
+    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=MODEL,
+    messages= history_openai_format,
+    temperature=1.0,
+    stream=True)
+
+    partial_message = ""
+    for chunk in response:
+        if chunk.choices[0].delta.content:
+            partial_message = partial_message + chunk.choices[0].delta.content
+            yield partial_message
+
+gr.ChatInterface(predict).launch(share=True)