Spaces:
Runtime error
Runtime error
Fix likeable button
Browse files
app.py
CHANGED
@@ -14,7 +14,7 @@ uploaded_df = gr.Dataframe(headers=["file_name", "content_length"])
|
|
14 |
upload_files_section = gr.Files(
|
15 |
file_types=[".md", ".mdx", ".rst", ".txt"],
|
16 |
)
|
17 |
-
chatbot_stream = gr.Chatbot(bubble_full_width=False, show_copy_button=True)
|
18 |
|
19 |
|
20 |
def load_docs(files):
|
@@ -100,13 +100,6 @@ def predict(message, history):
|
|
100 |
# return format_answer
|
101 |
|
102 |
|
103 |
-
def vote(data: gr.LikeData):
|
104 |
-
if data.liked:
|
105 |
-
gr.Info("You upvoted this response π", )
|
106 |
-
else:
|
107 |
-
gr.Warning("You downvoted this response π")
|
108 |
-
|
109 |
-
|
110 |
vector_db = get_vector_db()
|
111 |
llm_model = get_llm_model(vector_db)
|
112 |
|
@@ -116,7 +109,7 @@ chat_interface_stream = gr.ChatInterface(
|
|
116 |
description="ππ¦ Upload some documents on the side and ask questions!",
|
117 |
textbox=gr.Textbox(container=False, scale=7),
|
118 |
chatbot=chatbot_stream,
|
119 |
-
examples=["What is Data Caterer?"]
|
120 |
).queue(default_concurrency_limit=1)
|
121 |
|
122 |
with gr.Blocks() as blocks:
|
@@ -131,7 +124,6 @@ with gr.Blocks() as blocks:
|
|
131 |
)
|
132 |
# upload_files_section.upload(load_docs, inputs=upload_files_section)
|
133 |
with gr.Column(scale=4, min_width=600) as chat_col:
|
134 |
-
chatbot_stream.like(vote, None, None)
|
135 |
chat_interface_stream.render()
|
136 |
|
137 |
blocks.queue().launch()
|
|
|
14 |
upload_files_section = gr.Files(
|
15 |
file_types=[".md", ".mdx", ".rst", ".txt"],
|
16 |
)
|
17 |
+
chatbot_stream = gr.Chatbot(bubble_full_width=False, show_copy_button=True, likeable=True)
|
18 |
|
19 |
|
20 |
def load_docs(files):
|
|
|
100 |
# return format_answer
|
101 |
|
102 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
103 |
vector_db = get_vector_db()
|
104 |
llm_model = get_llm_model(vector_db)
|
105 |
|
|
|
109 |
description="ππ¦ Upload some documents on the side and ask questions!",
|
110 |
textbox=gr.Textbox(container=False, scale=7),
|
111 |
chatbot=chatbot_stream,
|
112 |
+
examples=["What is Data Caterer?"],
|
113 |
).queue(default_concurrency_limit=1)
|
114 |
|
115 |
with gr.Blocks() as blocks:
|
|
|
124 |
)
|
125 |
# upload_files_section.upload(load_docs, inputs=upload_files_section)
|
126 |
with gr.Column(scale=4, min_width=600) as chat_col:
|
|
|
127 |
chat_interface_stream.render()
|
128 |
|
129 |
blocks.queue().launch()
|