Update Dockerfile, README.md, and 5 more files...

Dockerfile

@@ -35,7 +35,7 @@ ENV PATH="/root/.local/share/pypoetry/venv/bin:$PATH"
 # Preload the model to avoid loading it on the first request
 # Note: Keep in mind that this will increase the image size and build time
 # Choose the model you want to preload (e.g., openai/whisper-medium)
-RUN test -d /root/.cache/huggingface || poetry run python -c "from transformers import AutoModelForSpeechSeq2Seq; AutoModelForSpeechSeq2Seq.from_pretrained('openai/whisper-medium')"
+# RUN test -d /root/.cache/huggingface || poetry run python -c "from transformers import AutoModelForSpeechSeq2Seq; AutoModelForSpeechSeq2Seq.from_pretrained('openai/whisper-medium')"
 
 # Expose port 8010
 EXPOSE 8010

README.md

@@ -22,7 +22,7 @@
   </p>
 </div>
 
-Txtify is a free open-source web application that transcribes and translates audio from YouTube videos or uploaded media files. It now runs on Docker for easier deployment and includes monitoring capabilities. Leveraging the **`stable-ts`** library and the **`whisper-medium`** model, Txtify offers enhanced transcription accuracy and performance.
+Txtify is a free open-source web application that transcribes and translates audio from YouTube videos or uploaded media files. It now runs on Docker for easier deployment and includes monitoring capabilities. Leveraging the **`stable-ts`** library and the **`whisper`** models, Txtify offers enhanced transcription accuracy and performance.
 
 ## Table of Contents
 
@@ -40,7 +40,6 @@ Txtify is a free open-source web application that transcribes and translates aud
 
 Txtify is designed to simplify the process of converting audio and video content into text. Whether you're looking to transcribe a YouTube video or your own audio/video files, Txtify offers an easy-to-use interface and powerful AI models to ensure accuracy and speed. The application supports multiple output formats including `.txt`, `.srt`, `.vtt`, and `.sbv`.
 
-
 ## Demo
 
 <div align="center">
@@ -79,9 +78,6 @@ cp .env.example .env
 
 3. Run the Docker
 
-> <sub>**Note:** The **whisper-medium** model is pre-selected and downloaded during the Docker build process. This ensures faster and more efficient transcriptions without the need to download the model each time.</sub>
-
-
 ```sh
 docker-compose up --build -d
 ```
@@ -94,12 +90,6 @@ docker-compose up --build -d
 docker-compose down
 ```
 
-### **Why whisper-medium?**
-
-- **Enhanced Performance:** The **whisper-medium** model offers a balanced trade-off between speed and accuracy, making it ideal for a wide range of transcription tasks.
-- **Pre-downloading:** By downloading the model during the Docker image build, you avoid the overhead of fetching it at runtime, leading to quicker startup times and a smoother user experience.
-
-
 ## Usage
 
 ### Access the Application

src/main.py

@@ -132,7 +132,7 @@ async def submit_contact(
             <p><strong>Message:</strong></p>
             <blockquote>{message}</blockquote>
             <div class="footer">
-                &copy; 2025 Txtify. Created by <a href="https://lkmeta.me" target="_blank">lkmeta</a>.
+                &copy; 2025 Txtify. Created by <a href="https://lkmeta.com" target="_blank">lkmeta</a>.
             </div>
         </div>
     </body>

templates/contact.html

@@ -72,7 +72,7 @@ <h2>Stay Updated</h2>
 
     <div class="footer">
         &copy; 2025 Txt<span style="color: var(--primary-color);">ify</span>. Created with <i
-            class="fa-solid fa-heart heart"></i> by <a href="https://lkmeta.me" target="_blank">lkmeta</a>.
+            class="fa-solid fa-heart heart"></i> by <a href="https://lkmeta.com" target="_blank">lkmeta</a>.
     </div>
 
     <!-- Alert Box Structure -->

templates/error.html

@@ -29,7 +29,7 @@ <h1>404 - Page Not Found</h1>
     </div>
     <div class="footer">
         &copy; 2025 Txt<span style="color: var(--primary-color);">ify</span>. Created with <i
-            class="fa-solid fa-heart heart"></i> by <a href="https://lkmeta.me" target="_blank">lkmeta</a>.
+            class="fa-solid fa-heart heart"></i> by <a href="https://lkmeta.com" target="_blank">lkmeta</a>.
     </div>
 
     <script src="/static/scripts.js"></script>

templates/faq.html

@@ -235,7 +235,7 @@ <h2>Contact</h2>
 
     <div class="footer">
         &copy; 2025 Txt<span style="color: var(--primary-color);">ify</span>. Created with <i
-            class="fa-solid fa-heart heart"></i> by <a href="https://lkmeta.me" target="_blank">lkmeta</a>.
+            class="fa-solid fa-heart heart"></i> by <a href="https://lkmeta.com" target="_blank">lkmeta</a>.
     </div>
 
 

templates/index.html

@@ -113,8 +113,7 @@ <h1>Audio and Video to Text for FREE using AI</h1>
                 <option value="whisper_base" selected>Whisper Base (Fast - Balanced - English Only)</span>
                 </option>
                 <option value="whisper_small">Whisper Small (Fast - Accurate - English Only)</option>
-                <option value="whisper_medium">Whisper Medium (Fast - High Accuracy - Multi-Language - Downloaded by
-                    Default - RECOMMENDED)</option>
+                <option value="whisper_medium">Whisper Medium (Fast - High Accuracy - Multi-Language - RECOMMENDED)</option>
                 </option>
                 <option value="whisper_large">Whisper Large (Slow - Highest Accuracy - Multi-Language)
                 </option>
@@ -160,7 +159,7 @@ <h1>Audio and Video to Text for FREE using AI</h1>
     </div>
     <div class="footer">
         &copy; 2025 Txt<span style="color: var(--primary-color);">ify</span>. Created with <i
-            class="fa-solid fa-heart heart"></i> by <a href="https://lkmeta.me" target="_blank">lkmeta</a>.
+            class="fa-solid fa-heart heart"></i> by <a href="https://lkmeta.com" target="_blank">lkmeta</a>.
     </div>