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README.md

@@ -1,12 +1,6 @@
 ---
-title: Aiclone
-emoji: 👁
-colorFrom: yellow
-colorTo: red
-sdk: gradio
-sdk_version: 4.8.0
+title: aiclone
 app_file: app.py
-pinned: false
+sdk: gradio
+sdk_version: 4.7.1
 ---
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

@@ -0,0 +1,62 @@
+import gradio as gr
+import time
+from openai import OpenAI
+from dotenv import load_dotenv
+import os
+
+load_dotenv()
+
+with gr.Blocks() as demo:
+    chatbot = gr.Chatbot()
+    msg = gr.Textbox()
+    clear = gr.ClearButton([msg, chatbot])
+
+    def openai_request(messages):
+        """
+        requests to fine tuned openai model
+        """
+        client = OpenAI(api_key=os.getenv("OPENAI_API_KEY"))
+        response = client.chat.completions.create(
+            model="ft:gpt-3.5-turbo-0613:personal::8SkHOPq1",
+            messages=messages,
+            temperature=0.5,
+        )
+        result = response.choices[0].message.content
+        return result
+
+    def l_to_openai_format(l):
+        """
+        converts a list of messages to open ai format messages
+        """
+        output = []
+        for i in range(len(l)):
+            if i % 2 == 0:
+                output.append({'role': 'user', 'content': l[i]})
+            else:
+                output.append({'role': 'assistant', 'content': l[i]})
+        return output
+
+    def message_and_history_to_list(message, history):
+        """
+        gets message and history and converts all to one list
+        """
+        l = []
+        for i in history:
+            for j in i:
+                l.append(j)
+        l.append(message)
+        return l 
+            
+    def respond(message, chat_history):
+        """
+        is called everytime a message is submitted into the chatbot
+        """
+        l = message_and_history_to_list(message, chat_history)
+        open_ai_request_format = l_to_openai_format(l)
+        bot_message = openai_request(open_ai_request_format)
+        chat_history.append((message, bot_message))
+        return "", chat_history
+
+    msg.submit(respond, [msg, chatbot], [msg, chatbot])
+
+demo.launch()

requirements.txt

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+gradio
+openai
+python-dotenv