Update app.py

app.py

@@ -26,7 +26,7 @@ REPO_ID = "HuggingFaceH4/starchat-beta"
 llm = HuggingFaceHub(
     repo_id=REPO_ID,
     model_kwargs={
-        "max_new_tokens": 400,
+        "max_new_tokens": 1024,
         "do_sample": True,
         "temperature": 0.8,
         "top_p": 0.9
@@ -65,7 +65,7 @@ def get_data(category: str, lookback_days: float, user_query: str):
     output = stuff_chain({"input_documents": relevant_docs, "context": user_query})
     output_text = output["output_text"].split("<|end|>")[0]
     print("LLM output:", output_text)
-    return f"# Your AI curated newsletter\n{output_text}\n\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n## This newsletter was AI generated by filtering {len(docs)} articles down to the following relevant articles:\n\n{articles}"
+    return f"# Your AI curated newsletter\n{output_text}\n\n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n## This newsletter was AI generated by filtering {len(docs)} articles down to the following relevant articles:\n\n{articles}"
 
 with gr.Blocks() as demo:
     gr.Markdown(