initial commit

.gitignore

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+.env

app.py

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+import os
+import openai
+import gradio as gr
+from dotenv import load_dotenv
+
+load_dotenv()
+
+openai.api_key = os.getenv("OPENAI_API_KEY")
+
+CSS = """
+.contain { display: flex; flex-direction: column; }
+.gradio-container { height: 100vh !important; }
+#component-0 { height: 100% !important; }
+#component-1 { height: 100% !important; }
+#chatbot { flex-grow: 1; overflow: auto;}
+footer {visibility: hidden}
+"""
+
+
+def predict(message, history):
+    history_openai_format = []
+    prompt = """
+You are ChatGPT, a large language model trained by OpenAI.
+Carefully read the user's instructions. 
+Respond using Markdown.
+"""
+    history_openai_format.append({"role": "system", "content": 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 = openai.ChatCompletion.create(
+        model="gpt-3.5-turbo",
+        messages=history_openai_format,
+        temperature=0.2,
+        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
+
+
+chatbot = gr.Chatbot(elem_id="chatbot")
+gr.ChatInterface(
+    predict,
+    chatbot=chatbot,
+    title="Tensora GPT-4",
+    css=CSS,
+).queue().launch(auth=("user", "talktome"))

requirements.txt

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+openai
+python-dotenv