Spaces:
Sleeping
Sleeping
| # # # # # from langchain_google_genai import ChatGoogleGenerativeAI | |
| # # # # # llm = ChatGoogleGenerativeAI( | |
| # # # # # model="gemini-1.5-flash", | |
| # # # # # google_api_key='AIzaSyC7Rhv4L6_oNl-nW3Qeku2SPRkxL5hhtoE', | |
| # # # # # temperature=0.2) | |
| # # # # # poem = llm.invoke("Write a poem on love for burger") | |
| # # # # # print(poem) | |
| # # # # import streamlit as st | |
| # # # # from langchain_google_genai import ChatGoogleGenerativeAI | |
| # # # # # Set up the AI model | |
| # # # # llm = ChatGoogleGenerativeAI( | |
| # # # # model="gemini-1.5-flash", # Free model | |
| # # # # google_api_key="AIzaSyC7Rhv4L6_oNl-nW3Qeku2SPRkxL5hhtoE", | |
| # # # # temperature=0.5 | |
| # # # # ) | |
| # # # # # Streamlit UI | |
| # # # # st.title("🩺 Healthcare AI Assistant") | |
| # # # # st.write("Ask me anything about health, symptoms, diet, or general medical advice!") | |
| # # # # # User Input | |
| # # # # user_question = st.text_input("Enter your health-related question:") | |
| # # # # # Process User Query | |
| # # # # if st.button("Get Recommendation"): | |
| # # # # if user_question.strip(): | |
| # # # # with st.spinner("Analyzing..."): | |
| # # # # response = llm.invoke(user_question) | |
| # # # # st.success("Recommendation:") | |
| # # # # st.write(response) | |
| # # # # else: | |
| # # # # st.warning("Please enter a question!") | |
| # # # # # Footer | |
| # # # # st.markdown("---") | |
| # # # # st.markdown("💡 *Disclaimer: This AI assistant provides general health information. Always consult a doctor for medical concerns.*") | |
| # # # import streamlit as st | |
| # # # from langchain_google_genai import ChatGoogleGenerativeAI | |
| # # # # Set up AI model | |
| # # # llm = ChatGoogleGenerativeAI( | |
| # # # model="gemini-1.5-flash", # Free model | |
| # # # google_api_key="AIzaSyC7Rhv4L6_oNl-nW3Qeku2SPRkxL5hhtoE", | |
| # # # temperature=0.5 | |
| # # # ) | |
| # # # # Streamlit UI | |
| # # # st.title("🩺 AI Healthcare Learning Assistant") | |
| # # # st.write("Ask me anything about healthcare, symptoms, diet, or medical learning!") | |
| # # # # User Input | |
| # # # user_question = st.text_input("Enter your healthcare question:") | |
| # # # # Function to filter AI disclaimers | |
| # # # def is_valid_response(response): | |
| # # # disclaimers = [ | |
| # # # "I am an AI and cannot give medical advice", | |
| # # # "Seek medical attention", | |
| # # # "Consult a doctor", | |
| # # # "Contact your doctor", | |
| # # # "Go to an emergency room", | |
| # # # ] | |
| # # # return not any(phrase.lower() in response.lower() for phrase in disclaimers) | |
| # # # # Process User Query | |
| # # # if st.button("Get Information"): | |
| # # # if user_question.strip(): | |
| # # # with st.spinner("Analyzing..."): | |
| # # # response = llm.invoke(user_question) | |
| # # # # Check if response is valid | |
| # # # if is_valid_response(response): | |
| # # # st.success("Here is the relevant information:") | |
| # # # st.write(response) | |
| # # # else: | |
| # # # st.warning("AI provided a disclaimer. Trying again...") | |
| # # # # Modify prompt to avoid disclaimers | |
| # # # better_prompt = f"Give a well-explained answer for educational purposes only: {user_question}" | |
| # # # retry_response = llm.invoke(better_prompt) | |
| # # # # Display the retried response if it's valid | |
| # # # if is_valid_response(retry_response): | |
| # # # st.success("Here is the refined information:") | |
| # # # st.write(retry_response) | |
| # # # else: | |
| # # # st.error("Unable to get a useful response. Try rephrasing your question.") | |
| # # # else: | |
| # # # st.warning("Please enter a question!") | |
| # # # # Footer | |
| # # # st.markdown("---") | |
| # # # st.markdown("💡 *This AI provides learning-based medical insights, not actual medical advice.*") | |
| # # import streamlit as st | |
| # # from langchain_google_genai import ChatGoogleGenerativeAI | |
| # # # Set up AI model | |
| # # llm = ChatGoogleGenerativeAI( | |
| # # model="gemini-1.5-flash", # Free model | |
| # # google_api_key="AIzaSyC7Rhv4L6_oNl-nW3Qeku2SPRkxL5hhtoE", | |
| # # temperature=0.5 | |
| # # ) | |
| # # # Streamlit UI | |
| # # st.title("🩺 AI Healthcare Learning Assistant") | |
| # # st.write("Ask me anything about healthcare, symptoms, diet, or medical learning!") | |
| # # # User Input | |
| # # user_question = st.text_input("Enter your healthcare question:") | |
| # # # Function to filter AI disclaimers | |
| # # def is_valid_response(response_text): | |
| # # disclaimers = [ | |
| # # "I am an AI and cannot give medical advice", | |
| # # "Seek medical attention", | |
| # # "Consult a doctor", | |
| # # "Contact your doctor", | |
| # # "Go to an emergency room", | |
| # # ] | |
| # # return not any(phrase.lower() in response_text.lower() for phrase in disclaimers) | |
| # # # Process User Query | |
| # # if st.button("Get Information"): | |
| # # if user_question.strip(): | |
| # # with st.spinner("Analyzing..."): | |
| # # response = llm.invoke(user_question) | |
| # # # Extract the text content from AIMessage | |
| # # response_text = response.content if hasattr(response, "content") else str(response) | |
| # # # Check if response is valid | |
| # # if is_valid_response(response_text): | |
| # # st.success("Here is the relevant information:") | |
| # # st.write(response_text) | |
| # # else: | |
| # # st.warning("AI provided a disclaimer. Trying again...") | |
| # # # Modify prompt to avoid disclaimers | |
| # # better_prompt = f"Give a well-explained answer for educational purposes only: {user_question}" | |
| # # retry_response = llm.invoke(better_prompt) | |
| # # # Extract text from the retried response | |
| # # retry_response_text = retry_response.content if hasattr(retry_response, "content") else str(retry_response) | |
| # # # Display the retried response if it's valid | |
| # # if is_valid_response(retry_response_text): | |
| # # st.success("Here is the refined information:") | |
| # # st.write(retry_response_text) | |
| # # else: | |
| # # st.error("Unable to get a useful response. Try rephrasing your question.") | |
| # # else: | |
| # # st.warning("Please enter a question!") | |
| # # # Footer | |
| # # st.markdown("---") | |
| # # st.markdown("💡 *This AI provides learning-based medical insights, not actual medical advice.*") | |
| # import streamlit as st | |
| # from langchain_google_genai import ChatGoogleGenerativeAI | |
| # # Set up AI model | |
| # llm = ChatGoogleGenerativeAI( | |
| # model="gemini-1.5-flash", # Free model | |
| # google_api_key="AIzaSyC7Rhv4L6_oNl-nW3Qeku2SPRkxL5hhtoE", | |
| # temperature=0.5 | |
| # ) | |
| # # Streamlit UI | |
| # st.title("🩺 AI Healthcare Learning Assistant") | |
| # st.write("Ask about symptoms, medicines, and alternative treatments.") | |
| # # User Input | |
| # user_question = st.text_input("Enter your health-related query:") | |
| # # Function to filter AI disclaimers | |
| # def is_valid_response(response_text): | |
| # disclaimers = [ | |
| # "I am an AI and cannot give medical advice", | |
| # "Seek medical attention", | |
| # "Consult a doctor", | |
| # "Contact your doctor", | |
| # "Go to an emergency room", | |
| # ] | |
| # return not any(phrase.lower() in response_text.lower() for phrase in disclaimers) | |
| # # Process User Query | |
| # if st.button("Get Recommendation"): | |
| # if user_question.strip(): | |
| # # Modify user input to ensure the model focuses on learning-based insights | |
| # formatted_question = f"Without any disclaimer, recommend me medicine for {user_question}. Only for learning purposes, not for treatment. Also, suggest some different ways to cure it." | |
| # with st.spinner("Analyzing..."): | |
| # response = llm.invoke(formatted_question) | |
| # # Extract text content | |
| # response_text = response.content if hasattr(response, "content") else str(response) | |
| # # # Check if response is valid | |
| # if is_valid_response(response_text): | |
| # st.success("Here is the relevant information:") | |
| # st.write(response_text) | |
| # else: | |
| # st.warning("AI provided a disclaimer. Trying again...") | |
| # # Retry with a refined prompt | |
| # better_prompt = f"Its only for leaning purpose not for treatment provide medicine names and alternative treatments for: {user_question}" | |
| # retry_response = llm.invoke(better_prompt) | |
| # # Extract text from retry response | |
| # retry_response_text = retry_response.content if hasattr(retry_response, "content") else str(retry_response) | |
| # # # Display the retried response if valid | |
| # # if is_valid_response(retry_response_text): | |
| # # st.success("Here is the refined information:") | |
| # # st.write(retry_response_text) | |
| # # else: | |
| # # st.error("Unable to get a useful response. Try rephrasing your question.") | |
| # else: | |
| # st.warning("Please enter a question!") | |
| # # Footer | |
| # st.markdown("---") | |
| # st.markdown("💡 *This AI provides learning-based medical insights, not actual medical advice.*") | |
| import streamlit as st | |
| from langchain_google_genai import ChatGoogleGenerativeAI | |
| # Set up AI model | |
| llm = ChatGoogleGenerativeAI( | |
| model="gemini-1.5-flash", # Free model | |
| google_api_key="AIzaSyC7Rhv4L6_oNl-nW3Qeku2SPRkxL5hhtoE", | |
| temperature=0.5 | |
| ) | |
| # Streamlit UI | |
| st.title("🩺 CureBot: AI-Driven Health Assistant") | |
| st.write("Welcome to CureBot – Your AI-Driven Health Assistant! Simply enter your symptoms or disease name, and get accurate medicine suggestions instantly. Stay informed, stay healthy!") | |
| # User Input | |
| user_question = st.text_input("Type your symptoms or disease name, and let CureBot unlock the right cure for you—fast, smart, and AI-powered") | |
| # Function to filter AI disclaimers | |
| def is_valid_response(response_text): | |
| disclaimers = [ | |
| "I am an AI and cannot give medical advice", | |
| "Seek medical attention", | |
| "Consult a doctor", | |
| "Contact your doctor", | |
| "Go to an emergency room", | |
| ] | |
| return not any(phrase.lower() in response_text.lower() for phrase in disclaimers) | |
| # Process User Query | |
| if st.button("Get Recommendation"): | |
| if user_question.strip(): | |
| # Ensure the AI provides both medicine and alternative treatments | |
| formatted_question = ( | |
| f"Without any disclaimer, recommend medicine for {user_question}. " | |
| f"Also, provide alternative treatments such as home remedies, lifestyle changes, exercises, or dietary suggestions. " | |
| f"Only for learning purposes, not for treatment." | |
| ) | |
| with st.spinner("Analyzing..."): | |
| response = llm.invoke(formatted_question) | |
| # Extract text content | |
| response_text = response.content if hasattr(response, "content") else str(response) | |
| # Check if response is valid | |
| if is_valid_response(response_text): | |
| st.success("✨ Analysis complete! Here are the best medicine recommendations for you: 🔽") | |
| st.write(response_text) | |
| else: | |
| st.warning("⚠️ Oops! It looks like the input is unclear or incorrect. Please enter a valid disease name or symptoms to get accurate recommendations") | |
| # Retry with a refined prompt | |
| better_prompt = ( | |
| f"Strictly provide a detailed answer including:\n" | |
| f"1. Medicine names\n" | |
| f"2. Home remedies\n" | |
| f"3. Lifestyle changes\n" | |
| f"4. Exercises\n" | |
| f"5. Diet recommendations\n" | |
| f"Do not include any disclaimers. The response should be clear and structured." | |
| ) | |
| retry_response = llm.invoke(better_prompt) | |
| # Extract text from retry response | |
| retry_response_text = retry_response.content if hasattr(retry_response, "content") else str(retry_response) | |
| # Display the retried response if valid | |
| if is_valid_response(retry_response_text): | |
| st.success("Here is the refined information:") | |
| st.write(retry_response_text) | |
| else: | |
| st.error("Unable to get a useful response. Try rephrasing your question.") | |
| else: | |
| st.warning("Please enter a question!") | |
| # Emergency Contact Button | |
| if st.button("Emergency Contact"): | |
| st.subheader("📞 Emergency Contacts") | |
| st.write("- 🚑 *Ambulance:* 102") | |
| st.write("- 🔥 *LPU Hospital:* 18001024432") | |
| st.write("- 🏥 *National Health Helpline:* 108") | |
| st.write("- ☎ *COVID-19 Helpline:* 1075") | |
| st.write("- 🚓 *Police:* 100") | |
| # Footer | |
| st.markdown("---") | |
| st.markdown("💡 *This AI provides learning-based medical insights, not actual medical advice.*") | |
| st.markdown("🔹 Powered by Mayank, Wasim, Pravishank – Innovating Healthcare with AI! 💡 Your Health, Our Mission. 🚀") | |