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Update app.py
Browse files
app.py
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@@ -5,6 +5,8 @@ from pathlib import Path
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import json
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from typing import List, Tuple, Optional
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import time
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# Global client variable
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client = None
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@@ -29,20 +31,93 @@ def encode_image(image_path: str) -> str:
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with open(image_path, "rb") as image_file:
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return base64.b64encode(image_file.read()).decode('utf-8')
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def
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"""
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def process_message(
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message: str,
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history: List[Tuple[str, str]],
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-
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enable_reasoning: bool = True,
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temperature: float = 0.7,
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max_tokens: int = 2000
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@@ -53,6 +128,9 @@ def process_message(
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if client is None:
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return history + [(message, "β Please configure your API key first in the Settings tab.")], ""
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try:
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# Build messages array
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messages = []
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@@ -66,22 +144,24 @@ def process_message(
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# Build current message content
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content = []
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#
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if
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# Add text message
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messages.append({"role": "user", "content": content})
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@@ -131,7 +211,7 @@ custom_css = """
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}
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.gradio-container {
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background: linear-gradient(135deg,
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}
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#main-container {
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@@ -143,7 +223,7 @@ custom_css = """
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}
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.header-title {
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background: linear-gradient(135deg,
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-webkit-background-clip: text;
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-webkit-text-fill-color: transparent;
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font-size: 3em;
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@@ -280,10 +360,10 @@ with gr.Blocks(css=custom_css, theme=gr.themes.Soft()) as app:
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<div class='info-box'>
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<strong>π― What can I do?</strong><br>
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β’ Analyze images, documents, and charts<br>
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β’ Perform OCR and text extraction<br>
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β’ Reason through complex problems<br>
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β’ Answer questions about visual content<br>
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β’ Process multi-image documents
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</div>
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""")
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@@ -298,13 +378,13 @@ with gr.Blocks(css=custom_css, theme=gr.themes.Soft()) as app:
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with gr.Row():
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msg = gr.Textbox(
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label="Your Message",
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placeholder="Ask me anything about images, documents, or reasoning tasks...",
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lines=3,
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scale=4
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)
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with gr.Row():
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label="π Upload Files (Images, PDFs, Documents - Multi-file support)",
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file_count="multiple",
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file_types=[".jpg", ".jpeg", ".png", ".gif", ".bmp", ".webp", ".tiff", ".pdf", ".txt"],
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@@ -373,6 +453,14 @@ with gr.Blocks(css=custom_css, theme=gr.themes.Soft()) as app:
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label="π Max Tokens",
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info="Maximum length of response"
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)
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# File Support Tab
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with gr.Tab("π Supported Files", elem_classes=["tab-nav"]):
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@@ -423,7 +511,7 @@ with gr.Blocks(css=custom_css, theme=gr.themes.Soft()) as app:
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<strong style='color: #f57c00; font-size: 1.1em;'>π PDF Documents</strong>
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<p style='margin: 10px 0 0 0; color: #666; line-height: 1.6;'>
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β’ Multi-page support<br>
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β’
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β’ Layout analysis<br>
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β’ Scanned documents<br>
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β’ Forms and tables
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@@ -658,20 +746,20 @@ with gr.Blocks(css=custom_css, theme=gr.themes.Soft()) as app:
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submit_btn.click(
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fn=process_message,
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inputs=[msg, chatbot,
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outputs=[chatbot, reasoning_display]
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).then(
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lambda: ("", None),
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outputs=[msg,
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)
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msg.submit(
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fn=process_message,
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inputs=[msg, chatbot,
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outputs=[chatbot, reasoning_display]
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).then(
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lambda: ("", None),
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outputs=[msg,
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)
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clear_btn.click(
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@@ -683,7 +771,4 @@ with gr.Blocks(css=custom_css, theme=gr.themes.Soft()) as app:
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if __name__ == "__main__":
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app.launch(
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share=True,
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# server_name="0.0.0.0",
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# server_port=7860,
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# show_error=True
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)
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import json
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from typing import List, Tuple, Optional
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import time
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from PIL import Image
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import io
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# Global client variable
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client = None
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with open(image_path, "rb") as image_file:
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return base64.b64encode(image_file.read()).decode('utf-8')
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def pdf_to_images(pdf_path: str) -> List[Image.Image]:
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"""Convert PDF to images using pdf2image"""
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try:
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from pdf2image import convert_from_path
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images = convert_from_path(pdf_path, dpi=200)
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return images
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except ImportError:
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# If pdf2image is not available, try PyMuPDF (fitz)
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try:
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import fitz
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doc = fitz.open(pdf_path)
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images = []
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for page_num in range(len(doc)):
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page = doc[page_num]
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pix = page.get_pixmap(matrix=fitz.Matrix(2, 2))
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img = Image.frombytes("RGB", [pix.width, pix.height], pix.samples)
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images.append(img)
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doc.close()
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return images
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except ImportError:
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raise Exception("Please install pdf2image or PyMuPDF: pip install pdf2image PyMuPDF")
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def image_to_base64(image: Image.Image, format: str = "PNG") -> str:
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"""Convert PIL Image to base64"""
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buffered = io.BytesIO()
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image.save(buffered, format=format)
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return base64.b64encode(buffered.getvalue()).decode('utf-8')
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def process_file(file_path: str) -> List[dict]:
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"""Process a file and return content blocks for API"""
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file_extension = Path(file_path).suffix.lower()
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content_blocks = []
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try:
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if file_extension == '.pdf':
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# Convert PDF pages to images
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images = pdf_to_images(file_path)
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for img in images:
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base64_image = image_to_base64(img, format="PNG")
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content_blocks.append({
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"type": "image_url",
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"image_url": {
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"url": f"data:image/png;base64,{base64_image}"
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}
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})
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elif file_extension == '.txt':
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# Read text file
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with open(file_path, 'r', encoding='utf-8') as f:
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text_content = f.read()
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content_blocks.append({
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"type": "text",
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"text": f"[Text File Content]:\n{text_content}"
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})
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else:
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# Handle image files
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# Determine MIME type
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mime_type = "image/jpeg"
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if file_extension in ['.png']:
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mime_type = "image/png"
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elif file_extension in ['.webp']:
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mime_type = "image/webp"
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elif file_extension in ['.gif']:
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mime_type = "image/gif"
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elif file_extension in ['.bmp']:
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mime_type = "image/bmp"
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elif file_extension in ['.tiff', '.tif']:
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mime_type = "image/tiff"
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base64_image = encode_image(file_path)
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content_blocks.append({
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"type": "image_url",
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"image_url": {
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"url": f"data:{mime_type};base64,{base64_image}"
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}
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})
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except Exception as e:
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content_blocks.append({
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"type": "text",
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"text": f"[Error processing file {Path(file_path).name}: {str(e)}]"
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})
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return content_blocks
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def process_message(
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message: str,
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history: List[Tuple[str, str]],
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files: Optional[List] = None,
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enable_reasoning: bool = True,
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temperature: float = 0.7,
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max_tokens: int = 2000
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if client is None:
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return history + [(message, "β Please configure your API key first in the Settings tab.")], ""
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if not message.strip() and not files:
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return history + [(message, "β οΈ Please enter a message or upload files.")], ""
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try:
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# Build messages array
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messages = []
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# Build current message content
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content = []
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# Process files if provided
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if files:
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file_count = 0
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for file in files:
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if file is not None:
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file_blocks = process_file(file)
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content.extend(file_blocks)
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file_count += 1
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if file_count > 0:
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content.insert(0, {
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"type": "text",
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"text": f"[{file_count} file(s) uploaded]"
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})
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# Add text message
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if message.strip():
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content.append({"type": "text", "text": message})
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messages.append({"role": "user", "content": content})
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}
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.gradio-container {
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background: linear-gradient(135deg, #667eea 0%, #764ba2 100%) !important;
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}
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#main-container {
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}
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.header-title {
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background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
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-webkit-background-clip: text;
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-webkit-text-fill-color: transparent;
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font-size: 3em;
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<div class='info-box'>
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<strong>π― What can I do?</strong><br>
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β’ Analyze images, documents, and charts<br>
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β’ Perform OCR and text extraction from PDFs<br>
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β’ Reason through complex problems<br>
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β’ Answer questions about visual content<br>
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β’ Process multi-image documents and PDFs
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</div>
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""")
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with gr.Row():
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msg = gr.Textbox(
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label="Your Message",
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placeholder="Ask me anything about images, documents, PDFs, or reasoning tasks...",
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lines=3,
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scale=4
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)
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with gr.Row():
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files = gr.File(
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label="π Upload Files (Images, PDFs, Documents - Multi-file support)",
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file_count="multiple",
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file_types=[".jpg", ".jpeg", ".png", ".gif", ".bmp", ".webp", ".tiff", ".pdf", ".txt"],
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label="π Max Tokens",
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info="Maximum length of response"
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)
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gr.HTML("""
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<div class='info-box' style='margin-top: 20px;'>
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<strong>π¦ Required Dependencies for PDF Support:</strong><br>
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<code>pip install pdf2image PyMuPDF pillow</code><br><br>
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<strong>Note:</strong> pdf2image also requires poppler-utils installed on your system.
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</div>
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""")
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# File Support Tab
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with gr.Tab("π Supported Files", elem_classes=["tab-nav"]):
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<strong style='color: #f57c00; font-size: 1.1em;'>π PDF Documents</strong>
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<p style='margin: 10px 0 0 0; color: #666; line-height: 1.6;'>
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β’ Multi-page support<br>
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β’ Automatic conversion to images<br>
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β’ Layout analysis<br>
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β’ Scanned documents<br>
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β’ Forms and tables
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submit_btn.click(
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fn=process_message,
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inputs=[msg, chatbot, files, enable_reasoning, temperature, max_tokens],
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outputs=[chatbot, reasoning_display]
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).then(
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lambda: ("", None),
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outputs=[msg, files]
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)
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msg.submit(
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fn=process_message,
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inputs=[msg, chatbot, files, enable_reasoning, temperature, max_tokens],
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outputs=[chatbot, reasoning_display]
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).then(
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lambda: ("", None),
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outputs=[msg, files]
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)
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clear_btn.click(
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if __name__ == "__main__":
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app.launch(
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share=True,
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)
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