Update app.py

app.py

@@ -2,10 +2,7 @@
 import streamlit as st
 from groq import Groq
 import os
-import requests
-from bs4 import BeautifulSoup
 from langdetect import detect
-from urllib.parse import quote_plus
 
 # Initialize Groq client
 try:
@@ -13,66 +10,46 @@ try:
 except Exception as e:
     st.error(f"Groq initialization failed: {str(e)}")
 
-# Web scraping with error handling
-def google_search(query):
+# Main function to generate bilingual advice
+def get_bilingual_advice(user_input):
     try:
-        headers = {"User-Agent": "Mozilla/5.0"}
-        encoded_query = quote_plus(query)
-        url = f"https://www.google.com/search?q={encoded_query}&gl=us&hl=en"
-        response = requests.get(url, headers=headers)
-        response.raise_for_status()
+        # Detect input language
+        input_lang = detect(user_input)
         
-        soup = BeautifulSoup(response.text, 'html.parser')
-        return [
-            {
-                'title': result.find('h3').text,
-                'link': result.find('a')['href'],
-                'snippet': result.find('div', class_='VwiC3b').text
-            }
-            for result in soup.find_all('div', class_='tF2Cxc')[:3]
-        ]
-    except Exception as e:
-        st.error(f"Google search failed: {str(e)}")
-        return []
+        # Step 1: Generate English medical report
+        medical_prompt = f"""As a homeopathic expert, analyze these symptoms: {user_input}
+        Provide detailed recommendations in this format:
 
-# Main chatbot function
-def get_homeopathic_advice(user_input):
-    try:
-        # Language detection
-        lang = detect(user_input)
-        
-        # Step 1: Symptom extraction
-        symptom_prompt = f"""Extract homeopathic symptoms from this text as comma-separated list:
-        {user_input}
-        Example: headache, dry cough, anxiety"""
+        **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
         
-        symptoms = client.chat.completions.create(
-            messages=[{"role": "user", "content": symptom_prompt}],
-            model="llama3-70b-8192"
-        ).choices[0].message.content.split(", ")
+        Keep medicine names in English for both sections."""
         
-        # Step 2: Homeopathic-specific search
-        search_results = google_search(
-            f"homeopathic remedy for {' '.join(symptoms)} "
-            f"site:.edu OR site:.gov -allopathic"
+        # Use larger 400B model for better multilingual support
+        response = client.chat.completions.create(
+            messages=[{"role": "user", "content": medical_prompt}],
+            model="llama3-400b-8192",  # Bigger model for better translations
+            temperature=0.3,
+            max_tokens=1000
         )
         
-        # Step 3: Generate response
-        response_prompt = f"""You're a homeopathic expert. Suggest remedies in {lang} for: {', '.join(symptoms)}
-        Use only this data: {[r['snippet'] for r in search_results]}
-        Include medicine name (English), potency, dosage and source."""
-        
-        return client.chat.completions.create(
-            messages=[{"role": "user", "content": response_prompt}],
-            model="llama3-70b-8192"
-        ).choices[0].message.content
-        
+        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("🌿 Homeopathic Chat Advisor")
+st.title("🌿 Multilingual Homeopathic Advisor")
 
 # Initialize chat history
 if "messages" not in st.session_state:
@@ -84,12 +61,12 @@ for message in st.session_state.messages:
         st.markdown(message["content"])
 
 # User input handling
-if prompt := st.chat_input("Enter symptoms..."):
+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..."):
-            response = get_homeopathic_advice(prompt)
+        with st.spinner("Analyzing symptoms..."):
+            response = get_bilingual_advice(prompt)
             st.markdown(response)
     st.session_state.messages.append({"role": "assistant", "content": response})