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Update app.py
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app.py
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@@ -6,16 +6,24 @@ from threading import Thread
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import re
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import uuid
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from openai import OpenAI
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client = OpenAI(
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base_url="https://a7g1ajqixo23revq.us-east-1.aws.endpoints.huggingface.cloud/v1/",
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api_key="hf_XXXXX"
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)
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def
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# Global dictionary to store all conversations: {id: {"title": str, "messages": list}}
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conversations = {}
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@@ -155,6 +163,13 @@ with gr.Blocks(theme=gr.themes.Soft()) as demo:
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with gr.Column():
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submit_button = gr.Button("Send", variant="primary", scale=1)
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clear_button = gr.Button("Clear", scale=1)
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gr.Markdown("**Try these examples:**")
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with gr.Row():
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example1_button = gr.Button("JEE Main 2025\nCombinatorics")
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@@ -162,6 +177,8 @@ with gr.Blocks(theme=gr.themes.Soft()) as demo:
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example3_button = gr.Button("JEE Main 2025\nProbability & Statistics")
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example4_button = gr.Button("JEE Main 2025\nLaws of Motion")
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def update_conversation_list():
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return [conversations[cid]["title"] for cid in conversations]
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example3_button.click(fn=lambda: gr.update(value=example_messages["JEE Main 2025 Probability & Statistics"]), inputs=None, outputs=user_input)
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example4_button.click(fn=lambda: gr.update(value=example_messages["JEE Main 2025 Laws of Motion"]), inputs=None, outputs=user_input)
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#demo.launch(share=True, ssr_mode=False)
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if __name__ == "__main__":
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import re
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import uuid
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from openai import OpenAI
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from PIL import Image
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from pix2tex import cli as latex_ocr
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# Initialize LaTeX OCR model
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latex_model = latex_ocr.LatexOCR()
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client = OpenAI(
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base_url="https://a7g1ajqixo23revq.us-east-1.aws.endpoints.huggingface.cloud/v1/",
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api_key="hf_XXXXX"
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)
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def process_image(image_file):
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try:
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img = Image.open(image_file)
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latex = latex_model(img)
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return format_math(latex)
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except Exception as e:
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print(f"Image processing error: {e}")
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return "⚠️ Could not process image. Please type your question manually."
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# Global dictionary to store all conversations: {id: {"title": str, "messages": list}}
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conversations = {}
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with gr.Column():
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submit_button = gr.Button("Send", variant="primary", scale=1)
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clear_button = gr.Button("Clear", scale=1)
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image_upload = gr.UploadButton(
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"📷 Upload Math Image",
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file_types=["image"],
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file_count="single"
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)
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gr.Markdown("**Try these examples:**")
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with gr.Row():
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example1_button = gr.Button("JEE Main 2025\nCombinatorics")
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example3_button = gr.Button("JEE Main 2025\nProbability & Statistics")
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example4_button = gr.Button("JEE Main 2025\nLaws of Motion")
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def update_conversation_list():
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return [conversations[cid]["title"] for cid in conversations]
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example3_button.click(fn=lambda: gr.update(value=example_messages["JEE Main 2025 Probability & Statistics"]), inputs=None, outputs=user_input)
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example4_button.click(fn=lambda: gr.update(value=example_messages["JEE Main 2025 Laws of Motion"]), inputs=None, outputs=user_input)
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image_upload.upload(
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fn=process_image,
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inputs=image_upload,
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outputs=user_input
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)
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#demo.launch(share=True, ssr_mode=False)
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if __name__ == "__main__":
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