Requirements & update readme

README.md

@@ -11,15 +11,16 @@ pinned: false
 
 Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
 
-# Medical Chat Bot
+# Patient/Doctor Medication Management Chatbot
    
    ## Domain
-   [Your chosen domain]
+   Medication Management
    
    ## Setup Instructions
    ### Prerequisites
    - Python 3.14.4+
-   - [Ollama OR HuggingFace account]
+   - Ollama
+   - Gradio
    
    ### Installation
 1. Install Ollama 
@@ -43,24 +44,39 @@ Check out the configuration reference at https://huggingface.co/docs/hub/spaces-
    ```
    
    ### Running
-```bash
-   python your_file.py
-```
+
+    ```bash
+    python your_file.py
+    ```
    
    ## Features
-   - Feature 1: [Description]
-   - Feature 2: [Description]
+  
+  - Feature 1: Answer patient questions about medications and remembers history.
+
+  - Feature 2: Provide doctors with summaries of patient inquiries to help with medication management.
+
+  - Feature 3: Suggests prompts depending on the mode selected (different prompts for doctors and patients).
+
+  - Feature 4: Export conversation history for record-keeping or further analysis.
+
+    
    
    ## Technical Details
    - Model: llama3.2:3b
    - Framework: Ollama
-   - Special considerations: [Any important notes]
    
    ## Demo
    [Link to video OR screenshots]
    
    ## Known Limitations
-   [What your chatbot cannot do]
+
+   Currently, both patient and doctor modes are on a shared user interface. This serves as a prototype to easily see how patients and healthcare professionals can leverage this tool to understand a patient's lived experience with their medication.
+
+   Additionally, the long-term memory of this tool is minimal. After several prompts, the chatbot will begin to respond with blanks because the context is overflowing.
    
    ## Future Improvements
-   [What you would add with more time]
+
+   With more time, I would build out this interface to work as two independent applications.
+   One for patients, and one for Healthcare professionals.
+
+   Use a more dynamic way of keeping the context of a patient's prompts, over multiple days, and without causing issues for the model. Local caching of patient's prompts in summarization form may allow a more concise version to be passed in as context. This would mean the doctor would get a more accurate idea of the patient's questions over a longer period of time.

app.py

@@ -188,11 +188,11 @@ def get_examples(mode):
 # =============================================
 
 # 7: Customize your interface design
-with gr.Blocks(theme=gr.themes.Soft(), title="Medical Chatbot") as app:
+with gr.Blocks(theme=gr.themes.Soft(), title="Patient/Doctor Medication Management Chatbot") as app:
     
     # Header
     gr.Markdown(f"""
-    # Patient/Doctor Medication Chatbot
+    # Patient/Doctor Medication Management Chatbot
     ### Patients can ask questions about their medications and schedule. Healthcare professionals can get summaries of the patient's medication experience.
     
     **Domain:** Medication Management 
@@ -252,7 +252,7 @@ with gr.Blocks(theme=gr.themes.Soft(), title="Medical Chatbot") as app:
         gr.Markdown("""
         ### About
         This chatbot is designed with two modes, patient and doctor, to assist patients and healthcare professionals with medication management. 
-        In patient mode, itt provides a patient information about medication schedules, side effects, interactions, and more based on their prompts.
+        In patient mode, it provides a patient information about medication schedules, side effects, interactions, and more based on their prompts.
         In doctor mode, it provides the doctor or healthcare professional a summary of what the patient has asked about regarding their medications.
         The chatbot will remember the conversation history to provide context-aware responses.
    

requirements.txt

@@ -0,0 +1,2 @@
+ollama
+gradio