Spaces:
Sleeping
Sleeping
File size: 2,823 Bytes
5251091 fe2c3a0 5251091 b2c0bfa 5251091 fe2c3a0 9571559 5251091 9571559 5251091 9571559 5251091 9571559 4086994 9571559 5251091 9571559 4086994 9571559 |
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 58 59 60 61 62 63 64 65 66 67 68 |
import streamlit as st
import os
import google.generativeai as genai
# Set your Google API Key directly or use Hugging Face Spaces' Secrets
genai.configure(api_key=os.getenv("GOOGLE_KEY")) # Make sure to set this in the Spaces secrets
model = genai.GenerativeModel("gemini-pro")
chat = model.start_chat(history=[])
def get_gemini_response(prompt):
try:
chunks = [chunk.text for chunk in chat.send_message(prompt, stream=True)] # Collect response chunks
return " ".join(chunks) # Combine all chunks into a single string
except Exception as e:
return f"An error occurred: {str(e)}"
# Streamlit app configuration
st.set_page_config(page_title="Med ChatBot")
st.title("Medical ChatBot")
# Initialize session state for chat history
if "chat_history" not in st.session_state:
st.session_state["chat_history"] = []
# Function to handle submission (without the button)
def submit_input():
input_text = st.session_state["input"]
if input_text:
# Context for the LLM with history included
chat_history_text = " ".join([f"{role}: {text}" for role, text in st.session_state["chat_history"]])
context = (
"You are a medical chatbot designed to assist users in understanding their symptoms. "
"Provide clear, concise, and informative responses based on NHS guidelines. "
"Avoid technical jargon and code snippets. If asked a question unrelated to medical topics, "
"respond with: 'I am a medical bot and I don't have that knowledge.' "
f"Previous conversation: {chat_history_text} "
)
prompt = f"{context} User's latest input: {input_text}" # Include the latest user input
response = get_gemini_response(prompt)
# Add user query to session state chat history
st.session_state['chat_history'].append(("You", input_text))
# Add bot response to session state chat history
if isinstance(response, list):
full_response = " ".join([chunk.text for chunk in response])
st.session_state['chat_history'].append(("Bot", full_response))
else:
st.session_state['chat_history'].append(("Bot", response))
# Clear input field after submission
st.session_state["input"] = ""
# Chat input (without button, submit on "Enter")
st.text_input("Enter your message:", key="input", on_change=submit_input)
# Display chat history in a chatbox style
st.subheader("Chat History")
for role, text in st.session_state['chat_history']:
if role == "You":
st.markdown(f"<div style='text-align: right; color: red;'>{role}: {text}</div>", unsafe_allow_html=True)
else:
st.markdown(f"<div style='text-align: left; color: green;'>{role}: {text}</div>", unsafe_allow_html=True)
|