Spaces:
Running
on
Zero
Running
on
Zero
fix timestamps
Browse files- gradio_app.py +2 -2
gradio_app.py
CHANGED
@@ -25,7 +25,7 @@ def stream_output(query: str, continue_content: str = ""):
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if size > MAX_SIZE:
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raise gr.Error(f"Maximum size is {MAX_SIZE}. Duplicate this Space to remove this limit.")
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content = continue_content
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-
df = pd.read_json(io.StringIO(content), lines=True)
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continue_content_size = len(df)
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state_msg = f"⚙️ Generating... [{continue_content_size + 1}/{continue_content_size + size}]"
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if list(df.columns):
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@@ -41,7 +41,7 @@ def stream_output(query: str, continue_content: str = ""):
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size=size,
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)):
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content += chunk
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-
df = pd.read_json(io.StringIO(content), lines=True)
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state_msg = f"⚙️ Generating... [{continue_content_size + i + 1}/{continue_content_size + size}]"
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yield df, "```json\n" + content + "\n```", gr.Button(state_msg), gr.Button("Generate one more batch", interactive=False), gr.DownloadButton("⬇️ Download", interactive=False)
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with open(query, "w", encoding="utf-8") as f:
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if size > MAX_SIZE:
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raise gr.Error(f"Maximum size is {MAX_SIZE}. Duplicate this Space to remove this limit.")
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content = continue_content
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+
df = pd.read_json(io.StringIO(content), lines=True, convert_dates=False)
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continue_content_size = len(df)
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state_msg = f"⚙️ Generating... [{continue_content_size + 1}/{continue_content_size + size}]"
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if list(df.columns):
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size=size,
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)):
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content += chunk
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+
df = pd.read_json(io.StringIO(content), lines=True, convert_dates=False)
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state_msg = f"⚙️ Generating... [{continue_content_size + i + 1}/{continue_content_size + size}]"
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yield df, "```json\n" + content + "\n```", gr.Button(state_msg), gr.Button("Generate one more batch", interactive=False), gr.DownloadButton("⬇️ Download", interactive=False)
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with open(query, "w", encoding="utf-8") as f:
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