Create app.py

app.py

@@ -0,0 +1,70 @@
+import streamlit as st
+from llama_index import SimpleDirectoryReader, GPTVectorStoreIndex
+import os
+import shutil
+
+
+def save_file(files):
+    directory_name = 'tmp_docs'
+
+    # Remove existing files in the directory
+    if os.path.exists(directory_name):
+        for filename in os.listdir(directory_name):
+            file_path = os.path.join(directory_name, filename)
+            try:
+                if os.path.isfile(file_path):
+                    os.remove(file_path)
+            except Exception as e:
+                print(f"Error: {e}")
+
+    # Save the new file with original filename
+    if files is not None:
+        for file in files:
+            file_name = file.name
+            file_path = os.path.join(directory_name, file_name)
+            with open(file_path, 'wb') as f:
+                shutil.copyfileobj(file, f)
+
+
+def ingest(docs_dir):
+    documents = SimpleDirectoryReader(docs_dir).load_data()
+    index = GPTVectorStoreIndex.from_documents(documents)
+    return index
+
+
+def get_answer(index, message):
+    response = query(index, message)
+    return [('Chatbot', ''.join(response.response))]
+
+
+def query(index, query_text):
+    query_engine = index.as_query_engine()
+    response = query_engine.query(query_text)
+    return response
+
+
+os.environ['OPENAI_API_KEY'] = st.text_input(
+    "Enter your OpenAI API key", type="password")
+
+if os.environ['OPENAI_API_KEY']:
+    # Initialize chatbot history
+    chatbot = []
+
+    # Display file upload component
+    files = st.file_uploader('Upload Files', accept_multiple_files=True)
+    if files is not None:
+        save_file(files)
+
+    index = ingest('tmp_docs')
+
+    # Display message input component
+    message = st.text_input('Enter message')
+
+    # If message is entered, ingest documents and get chatbot response
+    if message:
+        chatbot.append(('You', message))
+        chatbot += get_answer(index, message)
+
+    # Display chat history
+    st.text_area('Chatbot:', value='\n'.join(
+        [f'{x[0]}: {x[1]}' for x in chatbot]), height=250)