file

app.py

@@ -264,20 +264,19 @@ questions = [
 
 recommender = SemanticSearch()
 
+import gradio as gr
+
 title = ''
 description = """"""
 
-with gr.Blocks(css="""#chatbot { font-size: 14px; min-height: 1200; }""") as demo:
+with gr.Blocks(css="""#chatbot { font-size: 14px; min-height: 1200px; }""") as demo:
     gr.Markdown(f'<center><h3>{title}</h3></center>')
     gr.Markdown(description)
 
     try:
         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(""):
-                    #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'])
@@ -297,24 +296,19 @@ with gr.Blocks(css="""#chatbot { font-size: 14px; min-height: 1200; }""") as dem
                     'gpt-4-32k'
                 ], 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")
-    except:
-        print("error in gradio")
-    #
-    # Bind the click event of the button to the question_answer function
 
-    try:
+        # Bind the click event of the button to the question_answer function
         btn.click(
             question_answer,
             inputs=[chatbot, url, file, question, model],
             outputs=[chatbot],
         )
-    except:
-        print("error in btn.click")
 
-#demo.launch(server_name="10.31.8.80", server_port=9090)
+    except Exception as e:
+        print(f"Error: {e}")
+
 demo.launch()