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Update app.py
Browse files
app.py
CHANGED
@@ -210,6 +210,7 @@ def create_collection_name(filepath):
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def initialize_database(list_file_obj, chunk_size, chunk_overlap, progress=gr.Progress()):
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# Create list of documents (when valid)
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list_file_path = [x.name for x in list_file_obj if x is not None]
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# Create collection_name for vector database
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progress(0.1, desc="Creazione collezione...")
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collection_name = create_collection_name(list_file_path[0])
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@@ -258,7 +259,7 @@ def conversation(qa_chain, message, history):
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response_source1_page = response_sources[0].metadata["page"] + 1
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response_source2_page = response_sources[1].metadata["page"] + 1
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response_source3_page = response_sources[2].metadata["page"] + 1
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print
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print('DB source', response_sources)
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# Append user message and response to chat history
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@@ -353,6 +354,8 @@ def demo():
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db_btn.click(initialize_database, \
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inputs=[document, slider_chunk_size, slider_chunk_overlap], \
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outputs=[vector_db, collection_name, db_progress])
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qachain_btn.click(initialize_LLM, \
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inputs=[llm_btn, slider_temperature, slider_maxtokens, slider_topk, vector_db], \
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outputs=[qa_chain, llm_progress]).then(lambda:[None,"",0,"",0,"",0], \
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def initialize_database(list_file_obj, chunk_size, chunk_overlap, progress=gr.Progress()):
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# Create list of documents (when valid)
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list_file_path = [x.name for x in list_file_obj if x is not None]
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print(list_file_path)
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# Create collection_name for vector database
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progress(0.1, desc="Creazione collezione...")
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collection_name = create_collection_name(list_file_path[0])
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response_source1_page = response_sources[0].metadata["page"] + 1
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response_source2_page = response_sources[1].metadata["page"] + 1
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response_source3_page = response_sources[2].metadata["page"] + 1
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print('chat response: ', response_answer)
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print('DB source', response_sources)
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# Append user message and response to chat history
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db_btn.click(initialize_database, \
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inputs=[document, slider_chunk_size, slider_chunk_overlap], \
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outputs=[vector_db, collection_name, db_progress])
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print("IN:",inputs)
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print("OU:",outputs)
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qachain_btn.click(initialize_LLM, \
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inputs=[llm_btn, slider_temperature, slider_maxtokens, slider_topk, vector_db], \
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outputs=[qa_chain, llm_progress]).then(lambda:[None,"",0,"",0,"",0], \
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