Update app.py
Browse files
app.py
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import streamlit as st
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# Streamlit Configurations
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st.set_page_config(page_title="Chatbot", layout="centered")
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@@ -15,29 +57,27 @@ def handle_input():
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# Save User Message
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st.session_state["messages"].append({"role": "user", "content": user_message})
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#
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response_placeholder = st.empty() # Create an empty container for dynamic updates
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bot_response = ""
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with st.spinner("Fetching response..."):
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for part in call_api(user_message):
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bot_response += part # Append each part to the
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response_placeholder.markdown(
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# Save Final Bot Response
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st.session_state["messages"].append({"role": "assistant", "content": bot_response})
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# Clear Input Field
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st.session_state.user_input = "" # Reset user input field
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# Main Chat UI
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st.title("DUBS v.0.0.3")
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st.markdown("
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# Chat Display
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for message in st.session_state["messages"]:
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@@ -59,3 +99,4 @@ st.text_input(
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key="user_input",
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on_change=handle_input,
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)
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import requests
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import json
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import streamlit as st
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# Constants
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SPACE_URL = "https://abanm-dubs.hf.space/api/generate"
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API_KEY = "s3cr3t_k3y" # Replace with your actual API key
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def call_api(message):
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"""
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Calls the backend API with the user's input using streaming.
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Args:
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message (str): User's message.
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Yields:
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str: Streamed response from the backend API or an error message.
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"""
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headers = {
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"Authorization": f"Bearer {API_KEY}",
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"Content-Type": "application/json",
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}
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payload = {"prompt": message} # Match the API's expected input key
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try:
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# Send request with streaming enabled
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response = requests.post(SPACE_URL, json=payload, headers=headers, stream=True)
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response.raise_for_status()
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# Stream each line of the response
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for chunk in response.iter_lines(decode_unicode=True):
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if chunk.strip(): # Ensure the chunk is not empty
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try:
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# Parse JSON chunk
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data = json.loads(chunk)
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if "response" in data:
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yield data["response"]
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except json.JSONDecodeError:
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yield "\nError decoding response chunk."
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except requests.exceptions.Timeout:
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yield "Error: The API call timed out."
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except requests.exceptions.RequestException as e:
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yield f"Error: {str(e)}"
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# Streamlit Configurations
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st.set_page_config(page_title="Chatbot", layout="centered")
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# Save User Message
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st.session_state["messages"].append({"role": "user", "content": user_message})
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# Placeholder for dynamic bot response
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response_placeholder = st.empty() # Create a dynamic container
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bot_response = ""
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with st.spinner("Fetching response..."):
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for part in call_api(user_message):
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bot_response += part # Append each part to the full response
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response_placeholder.markdown(
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f"<div style='text-align: left; color: green; margin: 10px 0;'><b>Bot:</b> {bot_response}</div>",
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unsafe_allow_html=True,
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)
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# Save Final Bot Response
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st.session_state["messages"].append({"role": "assistant", "content": bot_response})
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# Clear Input Field
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st.session_state.user_input = "" # Reset user input field
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# Main Chat UI
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st.title("DUBS v.0.0.3")
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st.markdown("Empowering you with a Sustainable AI")
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# Chat Display
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for message in st.session_state["messages"]:
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key="user_input",
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on_change=handle_input,
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)
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