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| # app.py (Updated Version) | |
| def multilingual_chatbot(user_input): | |
| try: | |
| # Detect input language | |
| lang = detect(user_input) | |
| # Step 1: Symptom extraction with homeopathy focus | |
| symptom_prompt = f"""Extract ONLY homeopathic-relevant symptoms from this text as English comma-separated list: | |
| {user_input} | |
| Example Output: stinging pain, anxiety worse evenings, thirstlessness""" | |
| symptom_response = client.chat.completions.create( | |
| messages=[{"role": "user", "content": symptom_prompt}], | |
| model="llama3-70b-8192", | |
| temperature=0.1 | |
| ) | |
| symptoms = symptom_response.choices[0].message.content.split(", ") | |
| # Step 2: Focused homeopathic web search | |
| search_query = ( | |
| f"homeopathic remedy for {' '.join(symptoms)} " | |
| f"(site:.edu OR site:.gov) " | |
| f"-allopathic -conventional -pharmaceutical" | |
| ) | |
| results = google_search(search_query) | |
| # Filter homeopathic-specific results | |
| homeo_keywords = ['homeopath', 'remedy', 'potency', 'materia medica'] | |
| filtered_results = [ | |
| r for r in results | |
| if any(kw in r['snippet'].lower() for kw in homeo_keywords) | |
| ] | |
| # Step 3: Generate strict homeopathic response | |
| response_prompt = f"""You are a homeopathic doctor. Recommend ONLY homeopathic medicines in {lang} for these symptoms: {', '.join(symptoms)}. | |
| Use this research data: {[r['snippet'] for r in filtered_results]} | |
| Include: | |
| - Medicine name in English | |
| - Potency (like 30C, 200CK) | |
| - Administration method | |
| - Key symptoms it addresses | |
| - Source reference""" | |
| final_response = client.chat.completions.create( | |
| messages=[{"role": "user", "content": response_prompt}], | |
| model="llama3-70b-8192", | |
| temperature=0.3 | |
| ) | |
| return final_response.choices[0].message.content | |
| except Exception as e: | |
| return f"Error: {str(e)}" |