app.py

import streamlit as st
import requests
import os
SECRET_TOKEN = os.getenv("SECRET_TOKEN")
API_URL = "https://api-inference.huggingface.co/models/ProsusAI/finbert"
headers = {"Authorization": "Bearer " + SECRET_TOKEN}

def show_plot(bot_response):
    scores = {label_info['label']: label_info['score'] for label_info in bot_response}
    st.bar_chart(scores)

def query(payload):
    response = requests.post(API_URL, headers=headers, json=payload)
    return response.json()

def display_chat_history(chat_history):
    for entry in chat_history[::-1]:
        if entry["speaker"] == "You":
            st.text(f"You: {entry['message']}")
        elif entry["speaker"] == "Chatbot":
            try:
                st.text(f"Chatbot:")
                # for label_info in entry['message'][0]:
                #     st.write(f"Label: {label_info['label']}, Score: {label_info['score']}")
                print(entry['message'])
                show_plot(entry['message'][0])
            except:
                st.text(f"Something went wrong.")


def display_bot_response(bot_response):
    st.write("Bot Response:")
    for label_info in bot_response[0]:
        st.write(f"Label: {label_info['label']}, Score: {label_info['score']}")

def main():
    st.title("Chatbot Interface")

    # Initialize chat history
    chat_history = st.session_state.get("chat_history", [])

    # Input box for user to type messages
    user_input = st.text_input("Type your message here:")

    if st.button("Send"):
        if user_input:
            # Make an API call to get the chatbot's response
            bot_response = query({
                "inputs": user_input,
            })

            # Update the chat history
            
            chat_history.append({"speaker": "Chatbot", "message": bot_response})
            chat_history.append({"speaker": "You", "message": user_input})

            # Save the chat history in session state
            st.session_state.chat_history = chat_history

    # Display the chat history
    display_chat_history(chat_history)

    # Display the bot response if available
    # if chat_history and chat_history[-1]["speaker"] == "Chatbot":
    #     display_bot_response(chat_history[-1]["message"])

if __name__ == "__main__":
    main()