Implement medical consultation app with LangChain memory management and model integration

Enhance medical consultation app with LangChain memory management and improved patient context tracking

Update app.py

Update app.py

Update app.py

Update app.py

Update app.py

Update app.py

Update app.py

Refactor app.py to implement LangChain memory for enhanced conversation tracking. Update prompt building and response generation logic to utilize full conversation context, improving user interaction and medical assessment accuracy.

Refactor SYSTEM_PROMPT in app.py to enhance the medical consultation process with a structured approach for gathering patient information. Update follow-up question guidelines and improve response generation logic for more intelligent interactions.

Refactor app.py to streamline user information collection by removing redundant prompts for name and age. Implement a simple state tracking mechanism for improved conversation flow and enhance medical consultation process with structured follow-up questions.

Enhance user interaction in app.py by refining follow-up questions for symptom collection and implementing intelligent extraction of user name and age from messages. Improve response generation logic to ensure comprehensive medical assessments and treatment recommendations.

Refactor MEDITRON_PROMPT in app.py to enhance medical assessment and recommendations, ensuring evidence-based practices and clear communication. Update name and age extraction logic for improved accuracy in user responses.

Enhance prompt building in app.py to include intelligent follow-up questions and adjust response generation logic based on user information turns.

Enhance user information collection in app.py by emphasizing follow-up questions and refining response generation logic based on actual information turns.

Refactor app.py to extract user name and age from conversation history and improve response generation logic

Update SYSTEM_PROMPT in app.py for clarity and detail in patient information collection process

Refactor prompt building in app.py to utilize full message sequence and enhance response generation context

Refactor app.py to integrate LangChain memory for conversation tracking and update requirements.txt for LangChain dependency

Refactor app.py to streamline conversation state management and update requirements.txt for package versions

update meditron

uppdate app and requirement.txt

Update app.py

Update app.py

Update app.py

Update app.py

Update app.py

Update app.py

Update app.py

Update app.py

Update app.py

Update app.py

Update app.py

Create app.py