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Update app.py
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app.py
CHANGED
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@@ -5,13 +5,6 @@ import networkx as nx
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from pyvis.network import Network
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import tempfile
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import os
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import jinja2
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# Fix pyvis missing template issue
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if Network.template is None:
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template_loader = jinja2.PackageLoader("pyvis", "templates")
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Network.template = jinja2.Environment(loader=template_loader).get_template("template.html")
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def process_file(file):
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file_ext = os.path.splitext(file.name)[1].lower()
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@@ -28,7 +21,7 @@ def process_file(file):
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return f"Missing columns: {', '.join(missing)}", None, None, None, None
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df['date'] = pd.to_datetime(df['timestamp'], unit='s', errors='coerce')
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df = df.dropna(subset=['date'])
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df['date_only'] = df['date'].dt.date
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# Messages per Day
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@@ -54,7 +47,6 @@ def process_file(file):
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os.remove(file.name)
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return "Success", fig1, fig2, fig3, build_network_html(df)
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def build_network_html(df):
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G = nx.DiGraph()
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@@ -85,7 +77,6 @@ def build_network_html(df):
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return html_content
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def search_keyword(keyword):
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if not os.path.exists("latest_data.csv"):
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return pd.DataFrame(columns=['date', 'author', 'like_count', 'text'])
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@@ -96,11 +87,14 @@ def search_keyword(keyword):
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return pd.DataFrame(columns=['date', 'author', 'like_count', 'text'])
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mask = df['text'].astype(str).str.contains(keyword, case=False, na=False)
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result = df.loc[mask, ['timestamp', 'author', 'text'
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result['date'] = pd.to_datetime(result['timestamp'], unit='s', errors='coerce')
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result = result.dropna(subset=['date'])
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return result[['date', 'author', 'like_count', 'text']]
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# Gradio interface
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with gr.Blocks() as demo:
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from pyvis.network import Network
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import tempfile
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import os
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def process_file(file):
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file_ext = os.path.splitext(file.name)[1].lower()
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return f"Missing columns: {', '.join(missing)}", None, None, None, None
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df['date'] = pd.to_datetime(df['timestamp'], unit='s', errors='coerce')
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df = df.dropna(subset=['date'])
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df['date_only'] = df['date'].dt.date
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# Messages per Day
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os.remove(file.name)
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return "Success", fig1, fig2, fig3, build_network_html(df)
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def build_network_html(df):
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G = nx.DiGraph()
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return html_content
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def search_keyword(keyword):
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if not os.path.exists("latest_data.csv"):
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return pd.DataFrame(columns=['date', 'author', 'like_count', 'text'])
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return pd.DataFrame(columns=['date', 'author', 'like_count', 'text'])
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mask = df['text'].astype(str).str.contains(keyword, case=False, na=False)
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result = df.loc[mask, ['timestamp', 'author', 'text']]
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if 'like_count' in df.columns:
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result['like_count'] = df.loc[mask, 'like_count']
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else:
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result['like_count'] = None
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result['date'] = pd.to_datetime(result['timestamp'], unit='s', errors='coerce')
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result = result.dropna(subset=['date'])
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return result[['date', 'author', 'like_count', 'text']].head(100)
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# Gradio interface
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with gr.Blocks() as demo:
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