Spaces:
Sleeping
Sleeping
File size: 2,119 Bytes
2d574a1 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 |
import streamlit as st
import json
import requests
def main():
st.title("🤖 Simple Chatbot Interface")
# Input for API URL
api_url = st.text_input("Enter API URL", placeholder="https://example.com/query")
# Display the chatbot interface only if an API URL is provided
if api_url:
st.write("Chatbot is ready to use!")
if "chat_history" not in st.session_state:
st.session_state["chat_history"] = []
user_input = st.chat_input(placeholder="Type your query here...")
if user_input:
# Append user query to the chat history
st.session_state["chat_history"].append({"role": "user", "content": user_input})
# Prepare the query for the API
input_data_for_model = {"query": user_input}
with st.spinner("Generating response..."):
try:
# Send the user query to the API
response = requests.post(
api_url,
data=json.dumps(input_data_for_model),
headers={"Content-Type": "application/json"}
)
if response.status_code == 200:
response_data = response.json() # Parse API response
bot_reply = response_data.get("answer", "I'm sorry, I didn't understand that.")
else:
bot_reply = f"Error: Received status code {response.status_code}"
except Exception as e:
bot_reply = f"Error: {str(e)}"
# Append the assistant's reply to the chat history
st.session_state["chat_history"].append({"role": "assistant", "content": bot_reply})
# Display the conversation history
for chat in st.session_state["chat_history"]:
if chat["role"] == "user":
st.chat_message("user").write(chat["content"])
elif chat["role"] == "assistant":
st.chat_message("assistant").write(chat["content"])
if __name__ == "__main__":
main()
|