Update app.py

app.py

@@ -1,6 +1,14 @@
 from pydantic import NoneStr
 import os
+from langchain.chains.question_answering import load_qa_chain
+from langchain.document_loaders import UnstructuredFileLoader
+from langchain.embeddings.openai import OpenAIEmbeddings
+from langchain.llms import OpenAI
+from langchain.text_splitter import CharacterTextSplitter
+from langchain.vectorstores import FAISS
+from pypdf import PdfReader
 import mimetypes
+import validators
 import requests
 import tempfile
 import gradio as gr
@@ -207,92 +215,92 @@ class LangChain_Document_QA:
 
 
     def gradio_interface(self):
-      with gr.Blocks(css="style.css",theme=gr.themes.Soft()) as demo:
-          with gr.Row():
-            gr.HTML("""<img class="leftimage" align="left" src="https://templates.images.credential.net/1612472097627370951721412474196.png" alt="Image" width="210" height="210">
+        with gr.Blocks(css="style.css",theme=gr.themes.Soft()) as demo:
+            with gr.Row():
+                gr.HTML("""<img class="leftimage" align="left" src="https://templates.images.credential.net/1612472097627370951721412474196.png" alt="Image" width="210" height="210">
             <img align="right" class="rightimage" src="https://download.logo.wine/logo/Vodafone/Vodafone-Logo.wine.png" alt="Image" width="230" height="230" >""")
-
-          with gr.Row():
-            gr.HTML("""<center><h1>Vodafone Generative AI CRM ChatBot</h1></center>""")
-            gr.HTML(
-             """<br style="color:white;">"""
-                  )
-          chatbot = gr.Chatbot([], elem_id="chatbot").style(height=300)
-          with gr.Row():
-              with gr.Column(scale=0.50):
+            
+            with gr.Row():
+                gr.HTML("""<center><h1>Vodafone Generative AI CRM ChatBot</h1></center>""")
+                gr.HTML(
+                 """<br style="color:white;">"""
+                      )
+            chatbot = gr.Chatbot([], elem_id="chatbot").style(height=300)
+            with gr.Row():
+                with gr.Column(scale=0.50):
                   txt = gr.Textbox(
                       show_label=False,
                       placeholder="Customer",
                   ).style(container=False)
-              with gr.Column(scale=0.50):
+                with gr.Column(scale=0.50):
                   txt2 = gr.Textbox(
                       show_label=False,
                       placeholder="Agent",
                   ).style(container=False)
-
-              with gr.Column(scale=0.40):
+                
+                with gr.Column(scale=0.40):
                   txt3 =gr.Textbox(
                       show_label=False,
                       placeholder="GPT_Suggestion",
                   ).style(container=False)
-              with gr.Column(scale=0.10, min_width=0):
+                with gr.Column(scale=0.10, min_width=0):
                   button=gr.Button(
                       value="🚀"
                   )
-              with gr.Row(scale=0.50):
+                with gr.Row(scale=0.50):
                   emptyBtn = gr.Button(
                       "🧹 New Conversation",
                   )
-          with gr.Row():
-              with gr.Column(scale=0.40):
+            with gr.Row():
+                with gr.Column(scale=0.40):
                   txt4 =gr.Textbox(
                       show_label=False,
                       lines=4,
                       placeholder="Summary",
                   ).style(container=False)
-              with gr.Column(scale=0.10, min_width=0):
+                with gr.Column(scale=0.10, min_width=0):
                   end_btn=gr.Button(
                       value="End"
                   )
-              with gr.Column(scale=0.40):
+                with gr.Column(scale=0.40):
                   txt5 =gr.Textbox(
                       show_label=False,
                       lines=4,
                       placeholder="Sentiment",
                   ).style(container=False)
-
-              with gr.Column(scale=0.10, min_width=0):
+                
+                with gr.Column(scale=0.10, min_width=0):
                   Sentiment_btn=gr.Button(
                       value="📊",callback=self._on_sentiment_btn_click
                   )
-          with gr.Row():
-            gr.HTML("""<center><h1>Sentiment and Emotion Score Graph</h1></center>""")
-          with gr.Row():
-              with gr.Column(scale=0.70, min_width=0):
-                  plot =gr.Plot(label="Customer", size=(500, 600))
-          with gr.Row():
-              with gr.Column(scale=0.70, min_width=0):
-                  plot_2 =gr.Plot(label="Agent", size=(500, 600))
-          with gr.Row():
-              with gr.Column(scale=0.70, min_width=0):
-                  plot_3 =gr.Plot(label="Customer_Emotion", size=(500, 600))
-          with gr.Row():
-              with gr.Column(scale=0.70, min_width=0):
-                  plot_4 =gr.Plot(label="Agent_Emotion", size=(500, 600))
-
-
-          txt_msg = txt.submit(self._add_text, [chatbot, txt], [chatbot, txt])
-          txt_msg.then(lambda: gr.update(interactive=True), None, [txt])
-          txt.submit(self._suggested_answer,txt,txt3)
-          button.click(self._agent_text, [chatbot,txt3], chatbot)
-          txt2.submit(self._agent_text, [chatbot, txt2], chatbot).then(
+            with gr.Row():
+                gr.HTML("""<center><h1>Sentiment and Emotion Score Graph</h1></center>""")
+                with gr.Row():
+                    with gr.Column(scale=0.70, min_width=0):
+                      plot =gr.Plot(label="Customer", size=(500, 600))
+                with gr.Row():
+                    with gr.Column(scale=0.70, min_width=0):
+                      plot_2 =gr.Plot(label="Agent", size=(500, 600))
+                with gr.Row():
+                    with gr.Column(scale=0.70, min_width=0):
+                      plot_3 =gr.Plot(label="Customer_Emotion", size=(500, 600))
+                with gr.Row():
+                  with gr.Column(scale=0.70, min_width=0):
+                      plot_4 =gr.Plot(label="Agent_Emotion", size=(500, 600))
+            
+            
+            txt_msg = txt.submit(self._add_text, [chatbot, txt], [chatbot, txt])
+            txt_msg.then(lambda: gr.update(interactive=True), None, [txt])
+            txt.submit(self._suggested_answer,txt,txt3)
+            button.click(self._agent_text, [chatbot,txt3], chatbot)
+            txt2.submit(self._agent_text, [chatbot, txt2], chatbot).then(
               self._agent_text, [chatbot, txt2], chatbot
-          )
-          end_btn.click(self._display_history, [], txt4)
-          emptyBtn.click(self.clear_func,history_state,[])
-          emptyBtn.click(lambda: None, None, chatbot, queue=False)
-
-          Sentiment_btn.click(self._on_sentiment_btn_click,[],[txt5,plot,plot_2,plot_3,plot_4])
+            )
+            end_btn.click(self._display_history, [], txt4)
+            emptyBtn.click(self.clear_func,history_state,[])
+            emptyBtn.click(lambda: None, None, chatbot, queue=False)
+            
+            Sentiment_btn.click(self._on_sentiment_btn_click,[],[txt5,plot,plot_2,plot_3,plot_4])
 
       demo.title = "Vodafone Generative AI CRM ChatBot"
       demo.launch()