Create app.py

app.py

@@ -0,0 +1,124 @@
+import gradio as gr
+import pandas as pd
+import requests
+import json
+
+# ---------- Helpers ----------
+
+def load_csv(file):
+    df = pd.read_csv(file.name)
+    required = {"TYPE1", "TYPE2", "URL"}
+    if not required.issubset(df.columns):
+        raise ValueError("CSV must contain TYPE1, TYPE2, URL columns")
+    return df
+
+def get_type1_list(df):
+    return sorted(df["TYPE1"].unique().tolist())
+
+def get_type2_list(df, type1):
+    return sorted(df[df["TYPE1"] == type1]["TYPE2"].unique().tolist())
+
+def get_matching_rows(df, type1, type2):
+    return df[(df["TYPE1"] == type1) & (df["TYPE2"] == type2)]
+
+def preview_rows(rows):
+    if rows.empty:
+        return "No matching reports found."
+    return rows[["TYPE1", "TYPE2", "URL"]].to_string(index=False)
+
+def send_request(url, headers_json):
+    try:
+        headers = json.loads(headers_json) if headers_json else {}
+    except json.JSONDecodeError:
+        return "Invalid headers JSON"
+
+    headers.setdefault("User-Agent", "Mozilla/5.0")
+    headers.setdefault("Accept", "application/json")
+
+    try:
+        r = requests.get(url, headers=headers, timeout=15)
+    except Exception as e:
+        return f"Request failed: {e}"
+
+    try:
+        return json.dumps(r.json(), indent=2)
+    except ValueError:
+        return r.text
+
+# ---------- UI ----------
+
+with gr.Blocks(title="TikTok Report Research Tool") as app:
+    gr.Markdown("""
+    ## TikTok Report Research Tool
+    **Educational / analysis use only**
+
+    **Flow**
+    1. Upload CSV  
+    2. Pick TYPE1 (profile / video / comments)  
+    3. Pick TYPE2 (category)  
+    4. Preview all matching reports  
+    5. Send **one** report only  
+    """)
+
+    csv_file = gr.File(label="Upload CSV")
+    df_state = gr.State()
+    rows_state = gr.State()
+
+    type1 = gr.Dropdown(label="Report Target (TYPE1)")
+    type2 = gr.Dropdown(label="Report Category (TYPE2)")
+    report_select = gr.Dropdown(label="Report Selection")
+
+    preview = gr.Textbox(label="Preview (auto-updated)", lines=10)
+
+    headers = gr.Textbox(
+        label="Request Headers (JSON)",
+        lines=4,
+        placeholder='{"User-Agent":"...","Referer":"https://www.tiktok.com/"}'
+    )
+
+    output = gr.Textbox(label="Response", lines=10)
+
+    # ---------- Events ----------
+
+    def on_csv_upload(file):
+        df = load_csv(file)
+        return df, gr.Dropdown.update(choices=get_type1_list(df))
+
+    csv_file.upload(on_csv_upload, csv_file, [df_state, type1])
+
+    type1.change(
+        lambda df, t1: gr.Dropdown.update(choices=get_type2_list(df, t1)),
+        [df_state, type1],
+        type2
+    )
+
+    def on_type2_change(df, t1, t2):
+        rows = get_matching_rows(df, t1, t2)
+        options = ["ALL (preview only)"] + [str(i) for i in rows.index.tolist()]
+        return (
+            gr.Dropdown.update(choices=options),
+            rows,
+            preview_rows(rows)
+        )
+
+    type2.change(
+        on_type2_change,
+        [df_state, type1, type2],
+        [report_select, rows_state, preview]
+    )
+
+    def on_send(selection, rows, headers_json):
+        if selection == "ALL (preview only)":
+            return "ALL is preview-only.\nPlease select a single report to send."
+
+        row = rows.loc[int(selection)]
+        return send_request(row.URL, headers_json)
+
+    send = gr.Button("Send Single Report")
+    send.click(
+        on_send,
+        [report_select, rows_state, headers],
+        output
+    )
+
+app.launch()