Remove stray requirements.txt files and update README.md (#2075)

* Remove stray requirements.txt files and update README.md

* Remove requirement files

* Add details about pip bug and link to setup.cfg

Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>

README.md

@@ -93,6 +93,26 @@ You can also clone it from GitHub — in case you'd like to work with the master
 
 To update your installation, do a ``git pull``. The ``--editable`` flag will update changes immediately.
 
+Note that this command will install the **base** version of the package, which includes only the 
+Elasticsearch document store and the most commonly used components. 
+
+For a complete installation that includes all optional components, please run instead:
+
+```
+    git clone https://github.com/deepset-ai/haystack.git
+    cd haystack
+    pip install --upgrade pip
+    pip install --editable .[all]   # or 'all-gpu' to get the GPU-enabled dependencies
+```
+
+Do not forget to upgrade pip before performing the installation: pip version below 21.3.1 might
+enter infinite loops due to a bug. If you encounter such loop, either upgrade pip or replace 
+`[all]` with `[docstores,crawler,preprocessing,ocr,ray,rest,ui,dev,onnx]`.
+
+For an complete list of the dependency groups available, have a look at the 
+[setup.cfg file](https://github.com/deepset-ai/haystack/blob/488c3e9e52b9286afc3ad9a5f2e3161772be2e2f/setup.cfg#L103).
+
+
 **3. Installing on Windows**
 
 On Windows, you might need:

docs/_src/tutorials/tutorials/7.md

@@ -170,27 +170,6 @@ These are used to condition the generator as it generates the answer.
 What it should return then are novel text spans that form and answer to your question!
 
 
-```python
-# Now generate an answer for each question
-for question in QUESTIONS:
-    # Retrieve related documents from retriever
-    retriever_results = retriever.retrieve(
-        query=question
-    )
-
-    # Now generate answer from question and retrieved documents
-    predicted_result = generator.predict(
-        query=question,
-        documents=retriever_results,
-        top_k=1
-    )
-
-    # Print you answer
-    answers = predicted_result["answers"]
-    print(f'Generated answer is \'{answers[0].answer}\' for the question = \'{question}\'')
-```
-
-
 ```python
 # Or alternatively use the Pipeline class
 from haystack.pipelines import GenerativeQAPipeline

requirements-dev.txt

@@ -1,8 +0,0 @@
-# Add extra dependencies only required for tests and local dev setup
-mypy
-pytest
-selenium
-webdriver-manager
-beautifulsoup4
-markdown
-responses

requirements.txt

@@ -1,66 +0,0 @@
-# basics
-setuptools
-wheel
-# PyTorch
-# Temp. disabled the next line as it gets currently resolved to https://download.pytorch.org/whl/rocm3.8/torch-1.7.1%2Brocm3.8-cp38-cp38-linux_x86_64.whl
-# --find-links=https://download.pytorch.org/whl/torch_stable.html
-torch>1.9,<1.11
-# progress bars in model download and training scripts
-tqdm
-# Used for downloading models over HTTP
-requests
-# Scipy & sklearn for stats in run_classifier
-scipy>=1.3.2
-scikit-learn>=1.0.0
-# Metrics or logging related
-seqeval
-mlflow<=1.13.1
-# huggingface repository
-transformers==4.13.0
-# pickle extension for (de-)serialization
-dill
-# Inference with ONNX models. Install onnxruntime-gpu for Inference on GPUs
-# onnxruntime
-# onnxruntime_tools
-psutil
-# haystack
-fastapi
-uvicorn
-gunicorn
-pandas
-psycopg2-binary; sys_platform != 'win32' and sys_platform != 'cygwin'
-elasticsearch>=7.7,<=7.10
-elastic-apm
-tox
-coverage
-langdetect # for PDF conversions
-# for PDF conversions using OCR
-pytesseract==0.3.7 
-pillow==9.0.0
-pdf2image==1.14.0
-sentence-transformers>=0.4.0
-python-multipart
-python-docx
-sqlalchemy>=1.4.2
-sqlalchemy_utils
-# for using FAISS with GPUs, install faiss-gpu
-faiss-cpu>=1.6.3
-tika
-uvloop==0.14; sys_platform != 'win32' and sys_platform != 'cygwin'
-httptools
-nltk
-more_itertools
-networkx
-# Refer milvus version support matrix at https://github.com/milvus-io/pymilvus#install-pymilvus
-# For milvus 2.x version use this library `pymilvus===2.0.0rc6`
-pymilvus<2.0.0
-# Optional: For crawling
-#selenium
-#webdriver-manager
-SPARQLWrapper
-mmh3
-weaviate-client==2.5.0
-ray>=1.9.1
-dataclasses-json
-quantulum3
-azure-ai-formrecognizer==3.2.0b2