Upload app.py

app.py

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+from sentence_transformers import SentenceTransformer
+import faiss
+import numpy as np
+import streamlit as st
+
+# Title
+st.title("Custom Data Chatbot")
+
+def chatbot(query):
+    query_embedding = model.encode(query).reshape(1, -1)
+    D, I = index.search(query_embedding, 1)
+    similarity_score = D[0][0]
+    st.write(f'similarity_score: {similarity_score}')
+    if similarity_score < 0:
+        return "I'm not sure I understand. Please try again with different wording."
+    else:
+        retrieved_answer = answers[I[0][0]]
+        return retrieved_answer
+    
+# Title
+st.write("### File Upload")
+
+uploaded_file = st.file_uploader("Choose a file", type=["csv"])
+
+if uploaded_file is not None:
+    if uploaded_file.type == 'text/csv':
+        st.write("### File Details:")
+        st.write(f"Filename: {uploaded_file.name}")
+        if uploaded_file.type in ["text/plain", "text/csv"]:
+            file_content = uploaded_file.read().decode("utf-8")
+
+            answers = file_content.splitlines()
+            st.write('Total Content:' , len(answers))
+            
+            user_input = st.text_input("Enter text base on content you upload:")
+            
+            model = SentenceTransformer('all-MiniLM-L6-v2')
+            answers_embeddings = model.encode(answers)
+            d = answers_embeddings.shape[1]
+            index = faiss.IndexFlatL2(d)
+            index.add(np.array(answers_embeddings))
+            
+            if user_input.strip():
+                st.write("You:", user_input)
+                st.write("Bot:",chatbot(user_input))
+            else:
+                st.write("Please enter some text.")
+        
+            
+