Attempt 1 to make this work

.gitignore

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+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+share/python-wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.nox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+*.py,cover
+.hypothesis/
+.pytest_cache/
+cover/
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+local_settings.py
+db.sqlite3
+db.sqlite3-journal
+
+# Flask stuff:
+instance/
+.webassets-cache
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+.pybuilder/
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# IPython
+profile_default/
+ipython_config.py
+
+# pyenv
+#   For a library or package, you might want to ignore these files since the code is
+#   intended to run in multiple environments; otherwise, check them in:
+# .python-version
+
+# pipenv
+#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
+#   However, in case of collaboration, if having platform-specific dependencies or dependencies
+#   having no cross-platform support, pipenv may install dependencies that don't work, or not
+#   install all needed dependencies.
+pipfile
+Pipfile.lock
+
+# poetry
+#   Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
+#   This is especially recommended for binary packages to ensure reproducibility, and is more
+#   commonly ignored for libraries.
+#   https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
+#poetry.lock
+
+# pdm
+#   Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
+#pdm.lock
+#   pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
+#   in version control.
+#   https://pdm.fming.dev/latest/usage/project/#working-with-version-control
+.pdm.toml
+.pdm-python
+.pdm-build/
+
+# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
+__pypackages__/
+
+# Celery stuff
+celerybeat-schedule
+celerybeat.pid
+
+# SageMath parsed files
+*.sage.py
+
+# Environments
+.env
+.venv
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
+
+# Spyder project settings
+.spyderproject
+.spyproject
+
+# Rope project settings
+.ropeproject
+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
+.dmypy.json
+dmypy.json
+
+# Pyre type checker
+.pyre/
+
+# pytype static type analyzer
+.pytype/
+
+# Cython debug symbols
+cython_debug/
+
+# PyCharm
+#  JetBrains specific template is maintained in a separate JetBrains.gitignore that can
+#  be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
+#  and can be added to the global gitignore or merged into this file.  For a more nuclear
+#  option (not recommended) you can uncomment the following to ignore the entire idea folder.
+#.idea/

app.py

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+"""UI for the Math Helper prototype for exploring safety engineering concepts and LLMs.
+Using Streamlit to provide a python-based front end.
+"""
+
+#Import the libraries for human interaction and visualization.
+import streamlit as st
+import logging
+from helpers.constant import *
+from helpers.chat import basicChat, guidedMM, mmChat
+import os
+
+logger = logging.getLogger(__name__)
+logging.basicConfig(filename='app.log', level=logging.INFO)
+
+def update_model(name):
+    if name == "Llama":
+        st.session_state.model = LLAMA
+    else:
+        st.session_state.model = QWEN
+
+
+if "model" not in st.session_state:
+    st.session_state.model = LLAMA
+if "systemPrompt" not in st.session_state:
+    st.session_state.systemPrompt = "Model"
+
+st.set_page_config(page_title="IMSA Math Helper v0.1")
+st.title("IMSA Math Helper v0.1")
+with st.sidebar:
+    # User selects a model
+    model_choice = st.radio("Please select the model:", options=["Llama","QWEN"])
+    update_model(model_choice)
+    logger.info(f"Model changed to {model_choice}.")
+    systemPrompt = st.radio("Designate a control persona:",options=["Model","Tutor"])
+    st.session_state.systemPrompt = systemPrompt
+st.subheader(f"This experience is currently running on {st.session_state.model}")
+
+# Initialize chat history
+if "messages" not in st.session_state:
+    st.session_state.messages = []
+
+# Display chat messages from history on app rerun
+for message in st.session_state.messages:
+    with st.chat_message(message["role"]):
+        st.markdown(message["content"])
+
+
+enable = st.checkbox("Enable camera")
+picture = st.camera_input("Take a picture of your math work", disabled=not enable)
+
+if picture is not None:
+    with open(os.path.join("tempDir","picture.png"),"wb") as f:
+         f.write(picture.getbuffer())
+    mmChat("./tempDir/picture.png")
+    #guidedMM(st.session_state.systemPrompt, "http://192.168.50.36:8501/tempDir/picture")
+else:
+    basicChat()

helpers/chat.py

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+import streamlit as st
+import logging
+from huggingface_hub import InferenceClient
+from helpers.systemPrompts import base, tutor
+import os
+logger = logging.getLogger(__name__)
+
+api_key = os.environ.get('hf_api')
+client = InferenceClient(api_key=api_key)
+
+def hf_stream(model_name: str, messages: dict):
+    stream = client.chat.completions.create(
+        model=model_name, 
+        messages=messages, 
+        max_tokens=1000,
+        stream=True)
+    for chunk in stream:
+        chunk.choices[0].delta.content, end=""
+
+def hf_generator(model,prompt,data):
+    messages = [
+        {
+            "role": "user",
+            "content": [
+                {
+                    "type": "text",
+                    "text": prompt
+                },
+                {
+                    "type": "image_url",
+                    "image_url": {
+                        "url": data
+                    }
+                }
+            ]
+        }
+    ]
+
+    completion = client.chat.completions.create(
+        model=model, 
+        messages=messages, 
+        max_tokens=500
+    )
+    return completion.choices[0].message
+
+def basicChat():
+# Accept user input and then writes the response
+    if prompt := st.chat_input("How may I help you learn math today?"):
+        # Add user message to chat history
+        st.session_state.messages.append({"role": "user", "content": prompt})
+        logger.info(st.session_state.messages[-1])
+        # Display user message in chat message container
+        with st.chat_message("user"):
+            st.markdown(prompt)
+
+        with st.chat_message(st.session_state.model):
+            logger.info(f"""Message to {st.session_state.model}: {[
+                    {"role": m["role"], "content": m["content"]}
+                    for m in st.session_state.messages
+                ]}""")
+            response = st.write_stream(hf_generator(
+                st.session_state.model,
+                [
+                    {"role": m["role"], "content": m["content"]}
+                    for m in st.session_state.messages
+                ]
+            ))
+            st.session_state.messages.append({"role": "assistant", "content": response})
+            logger.info(st.session_state.messages[-1])
+
+
+def mmChat(data):
+    if prompt := st.chat_input("How may I help you learn math today?"):
+         # Add user message to chat history
+        st.session_state.messages.append({"role": "user", "content": prompt,"images":[data]})
+        logger.info(st.session_state.messages[-1])
+        # Display user message in chat message container
+        with st.chat_message("user"):
+            st.markdown(prompt)
+
+        with st.chat_message(st.session_state.model):
+            logger.info(f"Message to {st.session_state.model}: {st.session_state.messages[-1]}")
+            response = st.write_stream(hf_generator(
+                st.session_state.model,
+                prompt,
+                data))
+            st.session_state.messages.append({"role": "assistant", "content": response})
+            logger.info(st.session_state.messages[-1])
+
+
+def guidedMM(sysChoice:str, data):
+    if sysChoice == "Tutor":
+        system = tutor
+    else:
+        system = base
+    
+    if prompt := st.chat_input("How may I help you learn math today?"):
+         # Add user message to chat history
+        st.session_state.messages.append([
+	{
+		"role": "user",
+		"content": [
+			{
+				"type": "text",
+				"text": prompt
+			},
+			{
+				"type": "image_url",
+				"image_url": {
+					"url": data
+				}
+			}
+		]
+	}
+])
+        logger.info(st.session_state.messages[-2:])
+        # Display user message in chat message container
+        with st.chat_message("user"):
+            st.markdown(prompt)
+
+        with st.chat_message(st.session_state.model):
+            logger.info(f"Message to {st.session_state.model}: {st.session_state.messages[-1]}")
+            response = st.write_stream(hf_generator(
+                st.session_state.model,
+                [st.session_state.messages[-1]]
+            ))
+            st.session_state.messages.append({"role": "assistant", "content": response})
+            logger.info(st.session_state.messages[-1])
+

helpers/constant.py

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+"The file holding constants used within the program."
+
+#Available Models
+LLAMA = "meta-llama/Llama-3.2-11B-Vision-Instruct"
+QWEN = "Qwen/Qwen2-VL-7B-Instruct"

helpers/systemPrompts.py

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+''' A place to hold system prompts to control for them and allow users to pick which one they want to work with.'''
+
+base = """
+You are a helpful assistant. Follow these instructions:
+* Check that the image contains a math problem.
+* Analyze the math for errors and describe the errors succinctly. 
+* Do not provide the correct answer.
+"""
+
+tutor = """
+You are a tutor helping the user learn math. Follow these instructions:
+* Check that the image contains a math problem, if it doesn't ask the user to update the image
+* Analyze the math in the image for errors and describe where they are
+* Be succinct in your answers
+* Do not provide the correct answer
+* Guide the user towards correcting the errors found
+* If they provide you a correct math problem, congratulate them by saying: "Well done, you should be proud."
+"""

requirements.txt

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+huggingface_hub
+colorama
+streamlit