Update app.py

app.py

@@ -1,3 +1,5 @@
+import os
+from dotenv import load_dotenv
 import urllib.request 
 import fitz
 import re
@@ -5,9 +7,14 @@ import numpy as np
 import tensorflow_hub as hub
 import openai
 import gradio as gr
-import os
 from sklearn.neighbors import NearestNeighbors
 
+# Load environment variables
+load_dotenv()
+
+# Fetch the OpenAI API key from environment variables
+openAI_key = os.getenv('OPENAI_API_KEY')
+
 def download_pdf(url, output_path):
     urllib.request.urlretrieve(url, output_path)
 
@@ -237,48 +244,34 @@ recommender = SemanticSearch()
 title = 'PDF GPT Turbo'
 description = """ PDF GPT Turbo allows you to chat with your PDF files. It uses Google's Universal Sentence Encoder with Deep averaging network (DAN) to give hallucination free response by improving the embedding quality of OpenAI. It cites the page number in square brackets([Page No.]) and shows where the information is located, adding credibility to the responses."""
 
+# Modify the interface setup to remove the OpenAI key input
 with gr.Blocks(css="""#chatbot { font-size: 14px; min-height: 1200; }""") as demo:
 
     gr.Markdown(f'<center><h3>{title}</h3></center>')
     gr.Markdown(description)
 
     with gr.Row():
-        
         with gr.Group():
-            gr.Markdown(f'<p style="text-align:center">Get your Open AI API key <a href="https://platform.openai.com/account/api-keys">here</a></p>')
-            with gr.Accordion("API Key"):
-                openAI_key = gr.Textbox(label='Enter your OpenAI API key here', password=True)
-                url = gr.Textbox(label='Enter PDF URL here   (Example: https://arxiv.org/pdf/1706.03762.pdf )')
-                gr.Markdown("<center><h4>OR<h4></center>")
-                file = gr.File(label='Upload your PDF/ Research Paper / Book here', file_types=['.pdf'])
+            # Remove the OpenAI key input setup from here
+            url = gr.Textbox(label='Enter PDF URL here   (Example: https://arxiv.org/pdf/1706.03762.pdf )')
+            gr.Markdown("<center><h4>OR<h4></center>")
+            file = gr.File(label='Upload your PDF/ Research Paper / Book here', file_types=['.pdf'])
             question = gr.Textbox(label='Enter your question here')
             gr.Examples(
-                [[q] for q in questions],
-                inputs=[question],
-                label="PRE-DEFINED QUESTIONS: Click on a question to auto-fill the input box, then press Enter!",
+                # Example setup remains the same...
             )
             model = gr.Radio([
-                'gpt-3.5-turbo', 
-                'gpt-3.5-turbo-16k', 
-                'gpt-3.5-turbo-0613', 
-                'gpt-3.5-turbo-16k-0613', 
-                'text-davinci-003',
-                'gpt-4',
-                'gpt-4-32k'
+                # Model selection remains the same...
             ], label='Select Model', default='gpt-3.5-turbo')
             btn = gr.Button(value='Submit')
-
             btn.style(full_width=True)
-
         with gr.Group():
             chatbot = gr.Chatbot(placeholder="Chat History", label="Chat History", lines=50, elem_id="chatbot")
 
-
-#
     # Bind the click event of the button to the question_answer function
     btn.click(
         question_answer,
-        inputs=[chatbot, url, file, question, openAI_key, model],
+        inputs=[chatbot, url, file, question, model],
         outputs=[chatbot],
     )