Changed to gradio

app.py

@@ -1,11 +1,14 @@
-import streamlit as st
+import gradio as gd
 
 import semanticsearch
 
-# x = st.slider('Select a value')
-x=st.text_input('Ask valluvar')
-# st.write(x, 'squared is', x * x)
-if (x):
-    response=semanticsearch.find_similarities(x)
-    st.markdown(response)
+# # x = st.slider('Select a value')
+# x=st.text_input('Ask valluvar')
+# # st.write(x, 'squared is', x * x)
+# if (x):
+#     response=semanticsearch.find_similarities(x)
+#     st.markdown(response)
+
+gd.Interface(semanticsearch.find_similarities,inputs=gd.Textbox(lines=1, max_lines=2, label="Ask Valluvar"),outputs=gd.Textbox(interactive=False,lines=10, label="Response")).launch()
+
 

requirements.txt

@@ -1,4 +1,4 @@
-streamlit
+gradio
 transformers
 sentence-transformers
 sentence_embeddings

semanticsearch.py

@@ -52,9 +52,9 @@ def find_similarities(input:str):
     response=''
     for index in indices[0]:
         print(similarity_matrix[0][index])
-        response+=en_translations[index+1]
         print(en_translations[index+1])
-        response += "\\"+"\n".join(kurals[index+1])+"\\"
+        response += "\n".join(kurals[index+1])+"\n"
+        response += en_translations[index + 1]+"\n\n"
         print("\n".join(kurals[index+1]))
     return response