Update app.py

app.py

@@ -1,88 +1,25 @@
+import openai
 import gradio as gr
-import json 
-import os
-from llama_index import SimpleDirectoryReader, GPTListIndex, readers, GPTSimpleVectorIndex, LLMPredictor, PromptHelper
-from langchain import OpenAI
-import sys
 
-from IPython.display import Markdown, display
+openai.api_key = "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"
 
-def construct_index(directory_path):
+messages = [
+    {"role": "system", "content": "You are a helpful and kind AI Assistant."},
+]
 
-    max_input_size = 5000
+def chatbot(input):
+    if input:
+        messages.append({"role": "user", "content": input})
+        chat = openai.ChatCompletion.create(
+            model="gpt-3.5-turbo", messages=messages
+        )
+        reply = chat.choices[0].message.content
+        messages.append({"role": "assistant", "content": reply})
+        return reply
 
-    num_outputs = 20000
+inputs = gr.inputs.Textbox(lines=7, label="Chat with AI")
+outputs = gr.outputs.Textbox(label="Reply")
 
-    max_chunk_overlap = 50
-
-    chunk_size_limit = 6000
-
-
-    llm_predictor = LLMPredictor(llm=OpenAI(temperature=0.5, model_name="gpt-3.5-turbo", max_tokens=num_outputs))
-    prompt_helper = PromptHelper(max_input_size, num_outputs, max_chunk_overlap, chunk_size_limit=chunk_size_limit)
-
-
-'''
-
-import tkinter as tk
-from llama_index import GPTSimpleVectorIndex, LLMPredictor, PromptHelper
-from langchain import OpenAI
-from IPython.display import Markdown, display
-
-
-
-# Define the GUI
-class ChatBotGUI:
-    def __init__(self, master):
-        self.master = master
-        master.title("Chat Bot")
-
-        # Create a label and an entry for the question
-        self.label = tk.Label(master, text="Ask me anything:")
-        self.label.pack()
-
-        self.entry = tk.Entry(master)
-        self.entry.pack()
-
-        # Create a button to submit the question
-        self.button = tk.Button(master, text="Submit", command=self.submit_question)
-        self.button.pack()
-
-        # Create a text box to display the response
-        self.textbox = tk.Text(master)
-        self.textbox.pack()
-
-    def submit_question(self):
-        question = self.entry.get()
-        response = ask_ai(question)
-        self.textbox.insert(tk.END, "You: " + question + "\n")
-        self.textbox.insert(tk.END, "Bot: " + response + "\n\n")
-        self.entry.delete(0, tk.END)
-
-# Create an instance of the GUI and start the main loop
-root = tk.Tk()
-chatbot_gui = ChatBotGUI(root)
-root.mainloop()
-'''
-
-
-os.environ["OPENAI_API_KEY"] = "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"
-construct_index("data")
-def ask_ai(question,openai_api_key):
-    
-    if openai_api_key == "":
-        os.environ["OPENAI_API_KEY"] = "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"
-    else:
-        os.environ["OPENAI_API_KEY"] = openai_api_key
-        construct_index("data")
-        
-    index = GPTSimpleVectorIndex.load_from_disk('index.json')
-    response = index.query(question, response_mode="compact")
-    return response.response
-
-
-api_key = gr.inputs.Textbox(label="Paste OPENAI API Key (Or left it blank to use default api)")
-iface = gr.Interface(fn=ask_ai, inputs=["text", api_key], outputs="text", title="Chatbot")
-
-
-iface.launch()
+gr.Interface(fn=chatbot, inputs=inputs, outputs=outputs, title="AI Chatbot",
+             description="Ask anything you want",
+             theme="compact").launch(share=True)