huggingface adaptation of app

.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.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
+*.ipynb
+.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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+import os
+import openai
+import gradio as gr
+
+openai.api_key = os.environ['key']
+
+model_name = "ft:gpt-3.5-turbo-0613:metric-space-ug:rechtsberatung2:7zmeC6ps"
+prompt0 = "Liegt ein rechtlich relevanter Sachverhalt mit einer passenden Frage vor?"
+prompt1 = "Du stellst Fragen, um fehlende Informationen für eine anwaltliche Erstberatung zu klären. Stelle bis zu 10 Fragen für die Klärung der Sachlage und antworte mit „Danke für die Antworten.“, sobald die Sachlage klar ist."
+prompt2 = "Schreibe den Sachverhalt auf Basis der folgenden Informationen zusammen."
+prompt3 = "Schreibe eine anwaltliche Erstberatung auf Basis des geschilderten Sachverhalts."
+
+def respond_prompt0(Selbstauskunft, Kernfrage, chat):
+  # preprocess data
+
+  # openai api call prompt 0
+  ########
+  completion = openai.ChatCompletion.create(
+  model=model_name,
+  messages=[
+    {"role": "system", "content": prompt0},
+    {"role": "user", "content": Selbstauskunft + "\n" + Kernfrage}
+  ])
+  output = completion.choices[0].message.content
+  ########
+
+  out = "Liegt ein rechtlich relevanter Sachverhalt mit einer passenden Frage vor?\n" + output
+  if "ja" in output[:4].lower():
+    out += "\n Bitte beantworten Sie die folgenden Fragen um den Sachverhalt genauer zu erklären" #
+
+    # openai api call prompt 1
+    ########
+    completion = openai.ChatCompletion.create(
+    model=model_name,
+    messages=[
+      {"role": "system", "content": prompt1},
+      {"role": "user", "content": Selbstauskunft + "\n" + Kernfrage}
+    ])
+    output_prompt1 = completion.choices[0].message.content
+    ########
+
+    chat = [(output_prompt1, "")]
+    return out, gr.update(value=chat, visible=True), gr.update(value="", visible=True)
+
+  else:
+    return out + "\nLeider könne wir Ihnen nicht weiterhelfen", chat, ""
+
+
+def respond_prompt1(Selbstauskunft, Kernfrage, chat, text):
+  chat[-1][1] = text
+  # openai api call prompt 1
+  ########
+  messages=[
+      {"role": "system", "content": prompt1},
+      {"role": "user", "content": Selbstauskunft + "\n" + Kernfrage}
+    ]
+
+  for i in range(len(chat)):
+    messages.append({ "role": "assistant", "content": chat[i][0]})
+    messages.append({ "role": "user", "content": chat[i][1] })
+
+  completion = openai.ChatCompletion.create(
+  model=model_name,
+  messages=messages)
+
+  output_prompt1 = completion.choices[0].message.content
+  ########
+
+
+  if ("<ENDOFQA>" in output_prompt1) or len(chat) > 10:
+    sachverhalt = respond_prompt2(Selbstauskunft, Kernfrage, chat)
+    chat.append(("Danke für die Antworten. Im folgendem Text finden sie eine Zusamenfassung des Sachverhalts", ""))
+
+    return chat,  gr.update(value="", visible=False),  gr.update(value=sachverhalt, visible=True), gr.update(value="Erstberatung generieren", visible=True)
+
+  chat.append((output_prompt1, ""))
+
+  return chat, "", "", ""
+
+def respond_prompt2(Selbstauskunft, Kernfrage, chat):
+  # openai api call prompt 2
+  ########
+  content = Selbstauskunft + "\n" + Kernfrage
+
+  for i in range(len(chat)-1):
+    content += "\n\n" + chat[i][0] + "\n"
+    content +=  chat[i][1]
+
+  completion = openai.ChatCompletion.create(
+  model=model_name,
+  messages=[
+  { "role": "system", "content": prompt2 },
+  { "role": "user", "content": content}])
+
+  output_prompt2 = completion.choices[0].message.content
+  ########
+
+  return output_prompt2
+
+def respond_prompt3(Selbstauskunft, Kernfrage, chat, Sachverhalt):
+  # openai api call prompt 3
+  ########
+  content = Selbstauskunft + "\n" + Kernfrage
+
+  for i in range(len(chat)-1):
+    content += "\n\n" + chat[i][0] + "\n"
+    content +=  chat[i][1]
+
+  completion = openai.ChatCompletion.create(
+  model=model_name,
+  messages=[
+  { "role": "system", "content": prompt3 },
+  { "role": "user", "content": content +  "\nSachverhalt: " + Sachverhalt}])
+
+
+  output_prompt3 =completion.choices[0].message.content
+  ########
+
+  return gr.update(value=output_prompt3, visible=True), gr.update(visible=False)
+
+with gr.Blocks() as demo:
+    Selbstauskunft = gr.Textbox("", label="Schildern sie das Problem")
+    Kernfrage = gr.Textbox("", label="Stellen sie ihre Frage")
+
+    button_prompt1 =  gr.Button(value="Submit")
+
+    label_prompt0 = gr.Label()
+
+
+    chat = gr.Chatbot(visible=False)
+    msg = gr.Textbox(visible=False, label="Antwort")
+    Sachverhalt = gr.Textbox(visible=False, label = "Zusammenfassung")
+    Erstberatung = gr.Textbox(visible=False, label="Erstberatung")
+    button_erstberatung = gr.Button(value="Erstberatung generieren", visible=False)
+
+    button_prompt1.click(respond_prompt0, [Selbstauskunft, Kernfrage, chat], outputs=[label_prompt0, chat, msg])
+
+    msg.submit(respond_prompt1, [Selbstauskunft, Kernfrage, chat, msg], [chat, msg, Sachverhalt, button_erstberatung])
+
+    button_erstberatung.click(respond_prompt3, [Selbstauskunft, Kernfrage, chat, Sachverhalt], [Erstberatung, button_erstberatung])
+
+
+demo.launch()

requirements.txt

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+aiofiles==23.2.1
+aiohttp==3.8.5
+aiosignal==1.3.1
+altair==5.1.1
+annotated-types==0.5.0
+anyio==3.7.1
+async-timeout==4.0.3
+attrs==23.1.0
+certifi==2023.7.22
+charset-normalizer==3.2.0
+click==8.1.7
+contourpy==1.1.1
+cycler==0.11.0
+fastapi==0.103.1
+ffmpy==0.3.1
+filelock==3.12.4
+fonttools==4.42.1
+frozenlist==1.4.0
+fsspec==2023.9.2
+gradio==3.44.4
+gradio_client==0.5.1
+h11==0.14.0
+httpcore==0.18.0
+httpx==0.25.0
+huggingface-hub==0.17.2
+idna==3.4
+importlib-resources==6.1.0
+Jinja2==3.1.2
+jsonschema==4.19.1
+jsonschema-specifications==2023.7.1
+kiwisolver==1.4.5
+MarkupSafe==2.1.3
+matplotlib==3.8.0
+multidict==6.0.4
+numpy==1.26.0
+openai==0.28.1
+orjson==3.9.7
+packaging==23.1
+pandas==2.1.1
+Pillow==10.0.1
+pydantic==2.4.0
+pydantic_core==2.10.0
+pydub==0.25.1
+pyparsing==3.1.1
+python-dateutil==2.8.2
+python-multipart==0.0.6
+pytz==2023.3.post1
+PyYAML==6.0.1
+referencing==0.30.2
+requests==2.31.0
+rpds-py==0.10.3
+semantic-version==2.10.0
+six==1.16.0
+sniffio==1.3.0
+starlette==0.27.0
+toolz==0.12.0
+tqdm==4.66.1
+typing_extensions==4.8.0
+tzdata==2023.3
+urllib3==2.0.5
+uvicorn==0.23.2
+websockets==11.0.3
+yarl==1.9.2