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-rw-r--r--gn3/llms/process.py23
1 files changed, 6 insertions, 17 deletions
diff --git a/gn3/llms/process.py b/gn3/llms/process.py
index d53a7fd..ab2a80e 100644
--- a/gn3/llms/process.py
+++ b/gn3/llms/process.py
@@ -116,22 +116,11 @@ def get_gnqa(query, auth_token, data_dir=""):
answer
references: contains doc_name,reference,pub_med_info
"""
-
api_client = GeneNetworkQAClient(api_key=auth_token)
res, task_id = api_client.ask('?ask=' + quote(query), query=query)
- if task_id == 0:
- raise RuntimeError(f"Error connecting to Fahamu Api: {str(res)}")
- res, status = api_client.get_answer(task_id)
- if status == 1:
- resp_text = filter_response_text(res.text)
- if resp_text.get("data") is None:
- return task_id, "Please try to rephrase your question to receive feedback", []
- answer = resp_text['data']['answer']
- context = resp_text['data']['context']
- references = parse_context(
- context, DocIDs().get_info, format_bibliography_info)
- references = fetch_pubmed(references, "pubmed.json", data_dir)
-
- return task_id, answer, references
- else:
- return task_id, "We couldn't provide a response,Please try to rephrase your question to receive feedback", []
+ res, _status = api_client.get_answer(task_id)
+ resp_text = filter_response_text(res.text)
+ answer = resp_text['data']['answer']
+ context = resp_text['data']['context']
+ return task_id, answer, fetch_pubmed(parse_context(
+ context, DocIDs().get_info, format_bibliography_info), "pubmed.json", data_dir)