Spaces:
Paused
Paused
Update app.py
Browse files
app.py
CHANGED
@@ -192,13 +192,9 @@ def gradio_predict(video,image, question):
|
|
192 |
# Convert the dictionary to a DataFrame
|
193 |
df = pd.DataFrame([answer])
|
194 |
|
195 |
-
# Convert the DataFrame to CSV
|
196 |
-
output_buffer = BytesIO()
|
197 |
-
df.to_csv(answer, index=False)
|
198 |
-
output_buffer.seek(0)
|
199 |
|
200 |
|
201 |
-
return answer,
|
202 |
|
203 |
css = """
|
204 |
#container{
|
@@ -233,7 +229,7 @@ with gr.Blocks(css = css) as app:
|
|
233 |
btn = gr.Button("Annotate")
|
234 |
with gr.Column():
|
235 |
answer = gr.TextArea(label="Answer")
|
236 |
-
|
237 |
|
238 |
|
239 |
btn.click(gradio_predict, inputs=[video,image, question], outputs=answer)
|
|
|
192 |
# Convert the dictionary to a DataFrame
|
193 |
df = pd.DataFrame([answer])
|
194 |
|
|
|
|
|
|
|
|
|
195 |
|
196 |
|
197 |
+
return answer, df
|
198 |
|
199 |
css = """
|
200 |
#container{
|
|
|
229 |
btn = gr.Button("Annotate")
|
230 |
with gr.Column():
|
231 |
answer = gr.TextArea(label="Answer")
|
232 |
+
csv = gr.Dataframe(label="CSV")
|
233 |
|
234 |
|
235 |
btn.click(gradio_predict, inputs=[video,image, question], outputs=answer)
|