Spaces:
Sleeping
Sleeping
Update app.py
Browse filesUpdate feature
1. File filtering
2. FIltered output zip
3. Docx analysis
4. Valid list text
app.py
CHANGED
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@@ -9,6 +9,22 @@ import tempfile
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os.system("apt-get install poppler-utils")
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import datetime
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from docx import Document
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def extract_zip_and_collect_files(zip_file_path):
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@@ -38,24 +54,24 @@ def process_pdfs(pdf_files):
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if not os.path.isfile(pdf_file):
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raise ValueError(f"File {pdf_file} does not exist.")
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images = convert_from_path(pdf_file, dpi=
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all_images.extend(images)
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return all_images
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# Function to analyze the extracted image using Google GenAI
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def gemini_analysis(images, tanggal_berangkat, tanggal_pulang):
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"""
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Analyze the extracted image using Google GenAI.
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"""
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# Initialize the GenAI client (make sure the API key is set properly)
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today = date.today()
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client = genai.Client(api_key=
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# Define your prompt
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prompt = f'''Anda bertugas memvalidasi kesesuaian dan konsistensi data dari dokumen individual berdasarkan syarat Visa di bawah. Cukup fokus pada syarat yang diberikan tanpa mengambil referensi lain.
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Gunakan
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Pastikan data seperti nama, tanggal, tujuan dan lainnya
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---
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DAFTAR SYARAT DOKUMEN YANG WAJIB DIPERIKSA:
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1. Paspor
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@@ -102,73 +118,102 @@ def gemini_analysis(images, tanggal_berangkat, tanggal_pulang):
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Jika suami lengkap → istri cukup lampirkan rekening koran suami
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---
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-
FORMAT
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- Jenis Dokumen : (jenis dokumen)
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- Status : (Valid / Perlu cek ulang / Tidak diperlukan / Tidak ada)
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- Catatan : (Catatan singkat terkait isi dokumen)
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---
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FORMAT
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- List dokumen yang sudah valid: ...
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- List dokumen yang perlu pemeriksaan ulang: ...
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- List dokumen yang tidak ada/belum lengkap: ...
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---
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TEMPLATE PESAN PEMBERITAHUAN:
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Halo pak/bu (nama peserta), berikut ini rangkuman hasil pemeriksaan dokumen pengajuan visa anda: ...
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'''
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# Perform document analysis
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response_1 = client.models.generate_content(
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model="gemini-
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contents=[prompt] + images
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-
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analysis = response_1.text
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# Perform valid list generation
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prompt_2 = "
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response_2 = client.models.generate_content(
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model="gemini-
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contents=[
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)
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valid_docs_list_raw = response_2.text.strip()
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if '\n' in valid_docs_list_raw:
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docs_list = [line.strip("-• ").strip() for line in valid_docs_list_raw.splitlines() if line.strip()]
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elif ',' in valid_docs_list_raw:
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docs_list = [item.strip() for item in valid_docs_list_raw.split(",") if item.strip()]
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else:
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# fallback: jadikan 1 elemen list
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docs_list = [valid_docs_list_raw]
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return analysis, docs_list
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-
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def
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renamed_images = []
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-
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)
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renamed_images.append({"image": image, "filename":
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return renamed_images
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# Step
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grouped = {}
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for item in
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name = os.path.splitext(item["filename"])[0]
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grouped.setdefault(name, []).append(item["image"])
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# Step
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with zipfile.ZipFile(zip_path, 'w') as zipf:
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for doc_name, images in grouped.items():
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# pastikan semua dalam RGB
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images_rgb = [img.convert("RGB") for img in images]
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pdf_path = os.path.join(temp_dir, f"{doc_name}.pdf")
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@@ -182,9 +227,7 @@ def save_images_to_zip(images_info, zip_name="filtered_images.zip"):
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return zip_path
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-
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def main_process(files, tanggal_berangkat, tanggal_pulang):
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all_images = []
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image_paths_for_zip = []
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@@ -210,7 +253,9 @@ def main_process(files, tanggal_berangkat, tanggal_pulang):
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raise ValueError(f"File {file_path} is not a valid image, PDF, or ZIP.")
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# Generate summary from images
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summary, valid_list = gemini_analysis(all_images, tanggal_berangkat, tanggal_pulang)
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# Create DOCX for summary output
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doc = Document()
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doc.save(temp_docx_path)
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# Filtering the file
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-
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# Filter hanya yang valid
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images_to_zip = [img_info for img_info in renamed_images_info if os.path.splitext(img_info["filename"])[0] in valid_list]
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zip_file_path = save_images_to_zip(images_to_zip)
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return temp_docx_path, valid_list, zip_file_path
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@@ -254,6 +295,11 @@ with gr.Blocks() as demo:
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placeholder="Masukan Tanggal Kepulangan",
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type="text"
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)
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run_btn = gr.Button("🏃 Run Analysis")
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output = gr.Textbox(label="📝 Valid Document List", lines=5)
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@@ -264,7 +310,7 @@ with gr.Blocks() as demo:
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run_btn.click(
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fn=main_process,
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inputs=[file_input, tanggal_berangkat, tanggal_pulang],
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outputs=[download_output_docx, output, download_valid_zip]
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)
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os.system("apt-get install poppler-utils")
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import datetime
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from docx import Document
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import time
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import random
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from google.genai.types import (
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FunctionDeclaration,
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GenerateContentConfig,
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GoogleSearch,
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HarmBlockThreshold,
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HarmCategory,
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MediaResolution,
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Part,
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Retrieval,
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SafetySetting,
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Tool,
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ToolCodeExecution,
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VertexAISearch,
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)
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def extract_zip_and_collect_files(zip_file_path):
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if not os.path.isfile(pdf_file):
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raise ValueError(f"File {pdf_file} does not exist.")
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images = convert_from_path(pdf_file, dpi=250) # Convert PDF pages to images
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all_images.extend(images)
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return all_images
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# Function to analyze the extracted image using Google GenAI
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def gemini_analysis(images, tanggal_berangkat, tanggal_pulang, api_key):
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"""
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Analyze the extracted image using Google GenAI.
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"""
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# Initialize the GenAI client (make sure the API key is set properly)
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today = date.today()
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client = genai.Client(api_key=api_key)
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# Define your prompt
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prompt = f'''Anda bertugas memvalidasi kelengkapan, kesesuaian dan konsistensi data dari dokumen individual berdasarkan syarat Visa di bawah. Cukup fokus pada syarat yang diberikan tanpa mengambil referensi lain.
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Gunakan {tanggal_berangkat} sebagai tanggal berangkat, dan {tanggal_pulang} sebagai tanggal kepulangan.
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Pastikan data seperti nama, tanggal, tujuan dan lainnya konsisten antar dokumen. Semua jawaban dalam format text. Jangan tambahkan formating seperti * atau #
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---
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DAFTAR SYARAT DOKUMEN YANG WAJIB DIPERIKSA:
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1. Paspor
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Jika suami lengkap → istri cukup lampirkan rekening koran suami
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---
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FORMAT ANALISA PER DOKUMEN:
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- Jenis Dokumen : (jenis dokumen)
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- Status : (Valid / Perlu cek ulang / Tidak diperlukan / Tidak ada)
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- Catatan : (Catatan singkat terkait isi dokumen)
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---
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FORMAT RANGKUMAN :
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- List dokumen yang sudah valid: ...
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- List dokumen yang tidak valid perlu pemeriksaan ulang: ...
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---
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'''
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# Perform document analysis
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response_1 = client.models.generate_content(
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model="gemini-2.0-flash",
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contents=[prompt] + images,
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config=GenerateContentConfig(
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temperature=0.2,
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top_p=0.2
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)
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)
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analysis = response_1.text
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# Perform valid list generation
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prompt_2 = "Dari analisa diatas, Rangkum menjadi list/daftar dokumen yang valid saja. Misal: 'paspor', 'pasfoto', 'kartukeluarga', 'buktinikah', 'KTP', 'suratkelahiran', 'suratsponsor', 'suratkerja', 'NIB', 'SIUP', 'suratjaminanstaff', 'suratsekolah', 'kontrakkerja', 'suratpensiun', 'rekeningkoran', 'slipgaji', 'other'. Jangan tambahkan kata-kata atau kalimat lain."
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response_2 = client.models.generate_content(
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model="gemini-2.0-flash",
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contents=[analysis, prompt_2], # Pass prompt and image files
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config=GenerateContentConfig(
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temperature=0.2,
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top_p=0.2
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)
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)
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valid_docs_list_raw = response_2.text.strip().lower()
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if '\n' in valid_docs_list_raw:
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docs_list = [line.strip("-• ").strip() for line in valid_docs_list_raw.splitlines() if line.strip()]
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elif ',' in valid_docs_list_raw:
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docs_list = [item.strip() for item in valid_docs_list_raw.split(",") if item.strip()]
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elif '* ' in valid_docs_list_raw:
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docs_list = [item.strip() for item in valid_docs_list_raw.split("*") if item.strip()]
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else:
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# fallback: jadikan 1 elemen list
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docs_list = [valid_docs_list_raw]
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return analysis, docs_list
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def process_and_zip_valid_images(images, docs_list, api_key, zip_name="Valid_Docs.zip"):
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# Inisialisasi Gemini client
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client = genai.Client(api_key=api_key)
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# Prompt untuk klasifikasi nama file
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prompt = '''Anda adalah asisten yang membantu menamai file gambar dokumen.
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Tugas Anda adalah mengidentifikasi jenis dokumen pada gambar ini dan memberikan nama file yang sesuai.
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Jawaban Anda *harus* berupa *salah satu* nama file dari daftar berikut:
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['paspor', 'pasfoto', 'kartukeluarga', 'buktinikah', 'KTP', 'suratkelahiran', 'suratsponsor', 'suratkerja', 'NIB', 'SIUP', 'suratjaminanstaff', 'suratsekolah', 'kontrakkerja', 'suratpensiun', 'rekeningkoran', 'slipgaji', 'other']
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Jawaban Anda *hanya* boleh berupa teks yang *persis sama* dengan salah satu item dalam daftar tersebut.
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Jangan tambahkan penjelasan, tanda kutip, titik, atau teks tambahan lainnya.
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Contoh:
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Gambar : [tampak gambar KTP]
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Output: KTP
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Gambar: [gambar sebenarnya]
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Output:
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'''
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# Step 1: Klasifikasi & Penamaan
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renamed_images = []
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for image in images:
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response = client.models.generate_content(
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model="gemini-2.0-flash",
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contents=[prompt, image],
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config=GenerateContentConfig(
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temperature=0.2,
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top_p=0.2
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)
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)
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filename = response.text.strip().lower()
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renamed_images.append({"image": image, "filename": filename})
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# Step 2: Filter sesuai valid_list
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filtered_images = [
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item for item in renamed_images
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if os.path.splitext(item["filename"])[0] in [v.lower() for v in docs_list]
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]
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# Step 3: Kelompokkan berdasarkan nama file (tanpa .jpg)
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grouped = {}
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for item in filtered_images:
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name = os.path.splitext(item["filename"])[0]
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grouped.setdefault(name, []).append(item["image"])
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# Step 4: Simpan ke PDF dan masukkan ke ZIP
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temp_dir = tempfile.mkdtemp()
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zip_path = os.path.join(tempfile.gettempdir(), zip_name)
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with zipfile.ZipFile(zip_path, 'w') as zipf:
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for doc_name, images in grouped.items():
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images_rgb = [img.convert("RGB") for img in images]
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pdf_path = os.path.join(temp_dir, f"{doc_name}.pdf")
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return zip_path
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def main_process(files, tanggal_berangkat, tanggal_pulang, api_key):
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all_images = []
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image_paths_for_zip = []
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raise ValueError(f"File {file_path} is not a valid image, PDF, or ZIP.")
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# Generate summary from images
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summary, valid_list = gemini_analysis(all_images, tanggal_berangkat, tanggal_pulang, api_key)
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rdf = random.randint(5, 10)
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time.sleep(rdf)
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# Create DOCX for summary output
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doc = Document()
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doc.save(temp_docx_path)
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# Filtering the file
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zip_file_path = process_and_zip_valid_images(all_images, valid_list, api_key)
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return temp_docx_path, valid_list, zip_file_path
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placeholder="Masukan Tanggal Kepulangan",
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type="text"
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)
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api_key = gr.Textbox(
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label="Gemini API Key",
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placeholder="Masukan Kode API",
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type="text"
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)
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run_btn = gr.Button("🏃 Run Analysis")
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output = gr.Textbox(label="📝 Valid Document List", lines=5)
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run_btn.click(
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fn=main_process,
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inputs=[file_input, tanggal_berangkat, tanggal_pulang, api_key],
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outputs=[download_output_docx, output, download_valid_zip]
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)
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