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# app.py
import streamlit as st
from groq import Groq
import os
from langdetect import detect
# Initialize Groq client
try:
client = Groq(api_key=os.environ.get("GROQ_API_KEY"))
except Exception as e:
st.error(f"Groq initialization failed: {str(e)}")
# Main function to generate bilingual advice
def get_bilingual_advice(user_input):
try:
# Detect input language
input_lang = detect(user_input)
# Step 1: Generate English medical report
medical_prompt = f"""As a homeopathic expert, analyze these symptoms: {user_input}
Provide detailed recommendations in this format:
**English Recommendation:**
1. Medicine (Potency): Explanation
- Dosage: ...
- Key Symptoms: ...
- Source: ...
**Translated Recommendation ({input_lang}):**
1. Same medicine name in English with translated explanation
- Translated dosage instructions
- Translated symptoms
- Same source links
Keep medicine names in English for both sections."""
# Use larger 400B model for better multilingual support
response = client.chat.completions.create(
messages=[{"role": "user", "content": medical_prompt}],
model="deepseek-r1-distill-llama-70b", # Bigger model for better translations
temperature=0.3,
max_tokens=1000
)
return response.choices[0].message.content
except Exception as e:
return f"Error: {str(e)}"
# Streamlit UI Setup
st.set_page_config(page_title="Homeo Advisor", page_icon="🌿")
st.title("🌿 Multilingual Homeopathic Advisor")
# Initialize chat history
if "messages" not in st.session_state:
st.session_state.messages = [{"role": "assistant", "content": "Describe your symptoms in any language"}]
# Display chat messages
for message in st.session_state.messages:
with st.chat_message(message["role"]):
st.markdown(message["content"])
# User input handling
if prompt := st.chat_input("Type your symptoms..."):
st.session_state.messages.append({"role": "user", "content": prompt})
with st.chat_message("assistant"):
with st.spinner("Analyzing symptoms..."):
response = get_bilingual_advice(prompt)
st.markdown(response)
st.session_state.messages.append({"role": "assistant", "content": response})
# Disclaimer
st.caption("⚠️ This is not medical advice. Consult a professional.") |