Create app.py

app.py

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+import os
+import requests
+import openai
+import gradio as gr
+import json
+
+# Set up OpenAI API key
+openai.api_key = None  # initialize the API key as None
+
+# Define conversation start and restart sequences
+start_sequence = "\nAI:"
+restart_sequence = "\nHuman:"
+
+# Load data from JSON file
+url = 'https://archive.org/download/amazon_help_prepared/amazon_help_prepared.jsonl'
+response = requests.get(url)
+data = []
+with open('amazon_help_prepared.jsonl', 'wb') as f:
+    f.write(response.content)
+with open('amazon_help_prepared.jsonl', 'r', encoding='utf-8') as f:
+    for line in f:
+        data.append(json.loads(line))
+prompt = data
+
+# Define function to generate OpenAI response
+def openai_create(prompt, api_key):
+    openai.api_key = api_key  # set the API key
+    response = openai.Completion.create(
+        model='text-davinci-003',
+        prompt=prompt,
+        temperature=0.9,
+        max_tokens=400,
+        top_p=1,
+        frequency_penalty=0,
+        presence_penalty=0.6,
+        stop=[" Human:", " AI:"]
+    ) 
+    return response.choices[0].text
+
+# Define chatbot function to keep track of conversation history
+def chatbot(input, history=[], api_key=''):
+    output = openai_create(input, api_key)
+    history.append((input, output))
+    return history, history
+
+# Set up UI inputs and outputs
+api_key_input = gr.inputs.Textbox(label="OpenAI API Key")
+chat_input = gr.inputs.Textbox(label="You:")
+chat_output = gr.outputs.Textbox(label="Chatbot:")
+
+# Define UI title and description
+title = "<h1 style='text-align:center; font-weight: bold; color: #232f3e;'>Amazon Vendor Help Central</h1>"
+description = "<p style='text-align:center; font-size: 18px; color: #333;'>Get help with common issues and questions about selling on Amazon. Our AI-powered chatbot is here to assist you 24/7.</p>"
+
+# Create UI interface with title and description
+gr.Interface(fn=chatbot,
+             inputs=[chat_input, "state", api_key_input],
+             outputs=[chat_output, "state"],
+             title=title,
+             description=description,
+             theme="compact"
+            ).launch(debug=True)