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README.md

@@ -1,13 +1,34 @@
----
-title: Drawtotext
-emoji: 📈
-colorFrom: indigo
-colorTo: blue
-sdk: streamlit
-sdk_version: 1.35.0
-app_file: app.py
-pinned: false
-license: mit
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# Drawtotext 📈
+
+Convert drawings to text using Tesseract OCR.
+
+## Metadata
+- **Title**: Drawtotext
+- **Emoji**: 📈
+- **ColorFrom**: indigo
+- **ColorTo**: blue
+- **SDK**: streamlit
+- **SDK Version**: 1.35.0
+- **App File**: app.py
+- **Pinned**: false
+- **License**: MIT
+
+## How to Run
+
+1. Install dependencies:
+    ```bash
+    pip install -r requirements.txt
+    ```
+
+2. Create `apt.txt` with the following content:
+    ```
+    tesseract-ocr
+    libtesseract-dev
+    ```
+
+3. Run the app:
+    ```bash
+    streamlit run app.py
+    ```
+
+4. Ensure Tesseract OCR is installed and properly configured.

app.py

@@ -1,31 +1,30 @@
-import streamlit as st
-from streamlit_drawable_canvas import st_canvas
-from PIL import Image
-import pytesseract
-import numpy as np
-
-# Configure Tesseract executable path if necessary
-pytesseract.pytesseract.tesseract_cmd = r'/usr/bin/tesseract'  # Adjust the path as needed
-
-st.title("Handwritten Text Recognition")
-
-# Create a canvas component
-canvas_result = st_canvas(
-    fill_color="rgba(255, 165, 0, 0.3)",  # Fill color with some transparency
-    stroke_width=2,
-    stroke_color="#000000",
-    background_color="#ffffff",
-    update_streamlit=True,
-    height=150,
-    width=600,
-    drawing_mode="freedraw",
-    key="canvas"
-)
-
-# Process the canvas image
-if canvas_result.image_data is not None:
-    img = Image.fromarray(canvas_result.image_data.astype('uint8'), 'RGBA').convert('L')
-    img = img.resize((img.width * 2, img.height * 2), Image.LANCZOS)  # Resize to improve OCR accuracy
-    text = pytesseract.image_to_string(img, config='--psm 6')
-    st.text_area("Recognized Text", text, height=100)
-
+import streamlit as st
+from streamlit_drawable_canvas import st_canvas
+from PIL import Image
+import pytesseract
+import numpy as np
+
+# Set the path to the Tesseract executable for Hugging Face Spaces
+pytesseract.pytesseract.tesseract_cmd = '/usr/bin/tesseract'
+
+st.title("Handwritten Text Recognition")
+
+# Create a canvas component
+canvas_result = st_canvas(
+    fill_color="rgba(255, 165, 0, 0.3)",  # Fill color with some transparency
+    stroke_width=2,
+    stroke_color="#000000",
+    background_color="#ffffff",
+    update_streamlit=True,
+    height=150,
+    width=600,
+    drawing_mode="freedraw",
+    key="canvas"
+)
+
+# Process the canvas image
+if canvas_result.image_data is not None:
+    img = Image.fromarray(canvas_result.image_data.astype('uint8'), 'RGBA').convert('L')
+    img = img.resize((img.width * 2, img.height * 2), Image.LANCZOS)  # Resize to improve OCR accuracy
+    text = pytesseract.image_to_string(img, config='--psm 6')
+    st.text_area("Recognized Text", text, height=100)

apt.txt

@@ -0,0 +1,2 @@
+tesseract-ocr
+libtesseract-dev

requirements.txt

@@ -1,4 +1,4 @@
-streamlit==1.14.0
-streamlit-drawable-canvas==0.8.0
-pytesseract==0.3.10
+streamlit==1.35.0
+streamlit-drawable-canvas==0.8.0
+pytesseract==0.3.10
 Pillow==9.1.0