offer to install aider[hf]

aider/commands.py

@@ -7,7 +7,7 @@ from pathlib import Path
 import git
 
 from aider import models, prompts, voice
-from aider.help import Help
+from aider.help import Help, PipInstallHF
 from aider.llm import litellm
 from aider.scrape import Scraper
 from aider.utils import is_image_file
@@ -654,7 +654,14 @@ class Commands:
         from aider.coders import Coder
 
         if not self.help:
+            try:
                 self.help = Help()
+            except PipInstallHF as err:
+                self.io.tool_error(str(err))
+                if self.io.confirm_ask("Run pip install?", default="y"):
+                    self.help = Help(pip_install=True)
+                else:
+                    return
 
         coder = Coder.create(
             main_model=self.coder.main_model,

aider/help.py

@@ -6,7 +6,7 @@ from pathlib import Path
 
 import importlib_resources
 
-from aider import __version__
+from aider import __version__, utils
 from aider.dump import dump  # noqa: F401
 from aider.help_pats import exclude_website_pats
 
@@ -87,10 +87,35 @@ def get_index():
     return index
 
 
+class PipInstallHF(Exception):
+    pass
+
+
+pip_install_cmd = [
+    "aider[hf]",
+    "--extra-index-url",
+    "https://download.pytorch.org/whl/cpu",
+]
+
+pip_install_error = f"""
+To use interactive /help you need to install HuggingFace embeddings:
+
+pip install {' '.join(pip_install_cmd)}
+
+"""
+
+
 class Help:
-    def __init__(self):
+    def __init__(self, pip_install=False):
+        if pip_install:
+            utils.pip_install(pip_install_cmd)
+
         from llama_index.core import Settings
+
+        try:
             from llama_index.embeddings.huggingface import HuggingFaceEmbedding
+        except ImportError:
+            raise PipInstallHF(pip_install_error)
 
         os.environ["TOKENIZERS_PARALLELISM"] = "true"
         Settings.embed_model = HuggingFaceEmbedding(model_name="BAAI/bge-small-en-v1.5")

aider/utils.py

@@ -1,4 +1,6 @@
 import os
+import subprocess
+import sys
 import tempfile
 from pathlib import Path
 
@@ -176,3 +178,18 @@ def split_chat_history_markdown(text, include_tool=False):
         messages = [m for m in messages if m["role"] != "tool"]
 
     return messages
+
+
+def pip_install(args):
+    cmd = [
+        sys.executable,
+        "-m",
+        "pip",
+        "install",
+    ]
+    cmd += args
+
+    try:
+        subprocess.run(cmd)
+    except subprocess.CalledProcessError as e:
+        print(f"Error running pip download: {e}")

docker/Dockerfile

@@ -7,6 +7,7 @@ RUN apt-get update && \
 COPY . /aider
 
 RUN    pip install --no-cache-dir /aider
+RUN    pip install --no-cache-dir /aider[hf] --extra-index-url https://download.pytorch.org/whl/cpu
 
 # Final stage
 FROM python:3.10-slim

requirements-hf.in

@@ -4,3 +4,7 @@
 #
 
 llama-index-embeddings-huggingface
+
+# To retain python 3.9 compatibility
+scipy<1.14
+

requirements-hf.txt

@@ -228,7 +228,7 @@ scikit-learn==1.5.1
     # via sentence-transformers
 scipy==1.13.1
     # via
-    #   -c requirements.txt
+    #   -r requirements-hf.in
     #   scikit-learn
     #   sentence-transformers
 sentence-transformers==3.0.1

requirements.in

@@ -4,8 +4,6 @@
 
 configargparse
 GitPython
-openai
-tiktoken
 jsonschema
 rich
 prompt_toolkit
@@ -37,9 +35,6 @@ networkx<3.3
 # v0.22.2 seems to break tree-sitter-languages?
 tree-sitter==0.21.3 
 
-# To retain python 3.9 compatibility
-scipy<1.14
-
 # GitHub Release action failing on "KeyError: 'home-page'"
 # https://github.com/pypa/twine/blob/6fbf880ee60915cf1666348c4bdd78a10415f2ac/twine/__init__.py#L40
 # Uses importlib-metadata

requirements.txt

@@ -196,7 +196,6 @@ numpy==1.26.4
     #   pandas
     #   pyarrow
     #   pydeck
-    #   scipy
     #   streamlit
 openai==1.35.10
     # via
@@ -310,8 +309,6 @@ rpds-py==0.18.1
     #   referencing
 rsa==4.9
     # via google-auth
-scipy==1.13.1
-    # via -r requirements.in
 six==1.16.0
     # via python-dateutil
 smmap==5.0.1