first version

.gitignore

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+# ours
+.env
+# 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.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/#use-with-ide
+.pdm.toml
+
+# 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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+from pathlib import Path
+
+from dotenv import load_dotenv
+import torch
+load_dotenv()
+
+from langchain.chains import LLMChain
+from langchain.prompts import PromptTemplate
+from langchain.chat_models import ChatOpenAI
+import gradio as gr
+from elevenlabs import generate, play
+from pathlib import Path
+
+import whisper
+
+model = whisper.load_model("base", device="cuda")
+
+
+prompt = PromptTemplate(
+    input_variables=["user_input"],
+    template=Path("prompts/patient.prompt").read_text(),
+)
+
+llm = ChatOpenAI(temperature=0.7)
+
+chain = LLMChain(llm=llm, prompt=prompt)
+
+
+def run_text_prompt(message, chat_history):
+    bot_message = chain.run(user_input=message)
+
+    # audio = generate(text=bot_message, voice="Bella")
+
+    # play(audio, notebook=True)
+
+    chat_history.append((message, bot_message))
+    return "", chat_history
+
+
+def run_audio_prompt(audio, chat_history):
+    if audio is None:
+        return None, chat_history
+
+    message_transcription = model.transcribe(audio)["text"]
+    _, chat_history = run_text_prompt(message_transcription, chat_history)
+    return None, chat_history
+
+
+with gr.Blocks() as demo:
+    gr.Markdown("""
+Name: Emma Thompson
+Age: 28
+Present complain: Abdominal pain
+Matched Condition: Gastritis
+    """)
+    chatbot = gr.Chatbot()
+
+    msg = gr.Textbox()
+    msg.submit(run_text_prompt, [msg, chatbot], [msg, chatbot])
+    
+    with gr.Row():
+        audio = gr.Audio(source="microphone", type="filepath")
+        
+        send_audio_button = gr.Button("Send Audio", interactive=True)
+        send_audio_button.click(run_audio_prompt, [audio, chatbot], [audio, chatbot])
+
+demo.launch(debug=True)

prompts/patient.prompt

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+You will act like a patient with a given persona and a present complain. I will act as a doctor trying to understand your condition by asking question. Please reply based on your complain. 
+Your persona is:
+
+Name: Emma Thompson
+Age: 28
+Present complain: Abdominal pain
+Matched Condition: Gastritis
+
+Please, send only one reply
+
+Doctor: {user_input}
+Patient: 

requirements.txt

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+gradio
+openai
+elevenlabs
+openai-whisper
+python-dotenv