Update app.py

app.py

@@ -0,0 +1,43 @@
+import streamlit as st
+import requests
+
+st.title("Document Uploader and Chatbot Trainer")
+
+st.header("Upload Documents")
+
+# Upload evergreen document
+evergreen_file = st.file_uploader("Choose an Evergreen Document", type=['txt', 'pdf', 'doc', 'docx'])
+if evergreen_file:
+    files = {'file': evergreen_file.getvalue()}
+    response = requests.post('http://your_fastapi_endpoint/upload/evergreen/', files=files)
+    if response.json().get("success"):
+        st.success("Evergreen document uploaded successfully!")
+    else:
+        st.error("Failed to upload evergreen document!")
+
+# Upload dynamic document
+dynamic_file = st.file_uploader("Choose a Dynamic Document", type=['txt', 'pdf', 'doc', 'docx'])
+if dynamic_file:
+    files = {'file': dynamic_file.getvalue()}
+    response = requests.post('http://your_fastapi_endpoint/upload/dynamic/', files=files)
+    if response.json().get("success"):
+        st.success("Dynamic document uploaded successfully!")
+    else:
+        st.error("Failed to upload dynamic document!")
+
+# Train bot button
+if st.button("Train Bot"):
+    response = requests.post('http://your_fastapi_endpoint/train/')
+    bot_url = response.json().get("bot_url")
+    if bot_url:
+        st.success(f"Bot trained successfully! Access the bot at {bot_url}")
+    else:
+        st.error("Failed to train the bot!")
+
+# Chat with bot
+st.header("Chat with Bot")
+user_input = st.text_input("Ask your question:")
+# Assuming you have an endpoint to send user questions and get responses
+# response = requests.post('http://your_fastapi_endpoint/ask/', json={"question": user_input})
+# bot_response = response.json().get("answer")
+# st.text_area("Bot's Response:", value=bot_response)