add img to readme. update FARM api format

README.rst

@@ -12,10 +12,10 @@ Haystack is designed in a modular way and is tightly integrated with the `FARM <
 Swap your models easily from BERT to roBERTa and scale the database from dev (Sqlite) to production (PostgreSQL, elasticsearch ...).
 
 Core Features
-==========
+=============
 - **Most powerful models**: Utilize all the latest transformer based models (BERT, ALBERT roBERTa ...)
 - **Modular & future-proof**: Avoid technical debt. With haystack you can easily switch to newer models once they get published.
-- **Developer friendly**: Easy to debug, extend and modify
+- **Developer friendly**: Easy to debug, extend and modify.
 - **Scalable**: Switch from dev to production within minutes.
 
 Components
@@ -40,6 +40,11 @@ There are two ways to install:
 * (recommended) from source, :code:`git clone <url>` and run :code:`pip install [--editable] .` from the root of the repositry.
 * from PyPI, do a :code:`pip install farm_haystack`
 
+Usage
+-----
+.. image:: https://raw.githubusercontent.com/deepset-ai/haystack/master/docs/img/code_snippet_usage.png
+
+
 Configuration
 -------------
 The configuration can be supplied in a :code:`qa_config.py` placed in the PYTHONPATH. Alternatively, the :code:`DATABASE_URL` can also be set an an environment variable.

farm_haystack/__init__.py

@@ -60,7 +60,7 @@ class Finder:
             retrieved_scores, question, candidate_doc_ids=candidate_doc_ids
         )
         results = self.reader.predict(inference_dicts, top_k=top_k_reader)
-        return results
+        return results["results"]
 
     def _convert_retrieved_text_to_reader_format(
         self, retrieved_scores, question, candidate_doc_ids=None, verbose=True

farm_haystack/utils.py

@@ -18,7 +18,8 @@ def create_db():
     db.session.create_all()
 
 
-def print_answers(answers, details="all"):
+def print_answers(results, details="all"):
+    answers = results[0]["answers"]
     pp = pprint.PrettyPrinter(indent=4)
     if details != "all":
         if details == "minimal":