Corrected app with sources input

app.py

@@ -87,6 +87,21 @@ share_client = service.get_share_client(file_share_name)
 user_id = create_user_id()
 
 
+CITATION_LABEL = "BibTeX citation for ClimateQ&A"
+CITATION_TEXT = r"""@misc{climateqa,
+    author={Théo Alves Da Costa, Timothée Bohe},
+    title={ClimateQ&A, AI-powered conversational assistant for climate change and biodiversity loss},
+    year={2024},
+    howpublished= {\url{https://climateqa.com}},
+}
+@software{climateqa,
+    author = {Théo Alves Da Costa, Timothée Bohe},
+    publisher = {ClimateQ&A},
+    title = {ClimateQ&A, AI-powered conversational assistant for climate change and biodiversity loss},
+}
+"""
+
+
 
 # Create vectorstore and retriever
 vectorstore = get_pinecone_vectorstore(embeddings_function)
@@ -120,7 +135,7 @@ async def chat(query,history,audience,sources,reports):
     # if len(reports) == 0: # TODO 
     reports = []
     
-    inputs = {"user_input": query,"audience": audience_prompt,"sources":sources}
+    inputs = {"user_input": query,"audience": audience_prompt,"sources_input":sources}
     result = agent.astream_events(inputs,version = "v1") 
     
     # path_reformulation = "/logs/reformulation/final_output"
@@ -500,7 +515,26 @@ with gr.Blocks(title="Climate Q&A", css_paths=os.getcwd()+ "/style.css", theme=t
     with gr.Tab("About",elem_classes = "max-height other-tabs"):
         with gr.Row():
             with gr.Column(scale=1):
-                gr.Markdown("See more info at [https://climateqa.com](https://climateqa.com/docs/intro/)")
+
+
+
+
+                gr.Markdown("""
+### More info
+- See more info at [https://climateqa.com](https://climateqa.com/docs/intro/)
+- Feedbacks on this [form](https://forms.office.com/e/1Yzgxm6jbp)
+                            
+### Citation
+""")
+                
+                # Display citation label and text)
+                gr.Textbox(
+                    value=CITATION_TEXT,
+                    label=CITATION_LABEL,
+                    interactive=False,
+                    show_copy_button=True,
+                    lines=len(CITATION_TEXT.split('\n')),
+                )
 
 
     def start_chat(query,history):

climateqa/engine/chains/query_transformation.py

@@ -183,10 +183,13 @@ def make_query_transform_node(llm,k_final=15):
         # new_state["questions"] = new_questions
         # new_state["remaining_questions"] = new_questions
 
+
         new_state = {
             "remaining_questions":new_questions,
             "n_questions":len(new_questions),
         }
+
+        print("NEW STATE",new_state)
         
         return new_state