Create app.py

app.py

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+import base64
+from datetime import datetime
+from openai import OpenAI
+import gradio as gr
+
+# === Initialize OpenAI Client ===
+client = OpenAI()
+
+# === Prompts ===
+system_prompt = (
+    "You are a detail-oriented assistant that specializes in transcribing and polishing "
+    "handwritten notes from images. Your goal is to turn rough, casual, or handwritten "
+    "content into clean, structured, and professional-looking text that sounds like it "
+    "was written by a human—not an AI. You do not include icons, emojis, or suggest next "
+    "steps unless explicitly instructed."
+)
+
+user_prompt_template = (
+    "You will receive an image of handwritten notes. Transcribe the content accurately, "
+    "correcting any spelling or grammar issues. Then, organize it clearly with headings, "
+    "bullet points, and proper formatting. Maintain the original intent and voice of the "
+    "author, but enhance readability and flow. Do not add embellishments or AI-style phrasing."
+)
+
+# === Image processing ===
+def encode_image_to_base64(image_file):
+    image_bytes = image_file.read()
+    return base64.b64encode(image_bytes).decode("utf-8")
+
+# === Transcription function ===
+def transcribe_image(image):
+    if image is None:
+        return "No image uploaded."
+
+    encoded_image = encode_image_to_base64(image)
+    image_url = f"data:image/jpeg;base64,{encoded_image}"
+
+    response = client.chat.completions.create(
+        model="gpt-4-turbo",
+        messages=[
+            {"role": "system", "content": system_prompt},
+            {"role": "user", "content": [
+                {"type": "text", "text": user_prompt_template},
+                {"type": "image_url", "image_url": {"url": image_url}}
+            ]}
+        ],
+        max_tokens=1500
+    )
+
+    timestamp = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
+    return f"🗓️ Transcribed on: {timestamp}\n\n{response.choices[0].message.content}"
+
+# === Gradio Interface ===
+app = gr.Interface(
+    fn=transcribe_image,
+    inputs=gr.Image(type="file", label="Upload handwritten note (image)"),
+    outputs=gr.Textbox(label="Transcribed Output"),
+    title="Handwritten Note Transcriber",
+    description="Upload an image of handwritten notes to receive a clean, professional transcription."
+)
+
+# === Launch ===
+if __name__ == "__main__":
+    app.launch()