Update app.py

app.py

@@ -1,23 +1,43 @@
+# generate_video.py
+
+from gtts import gTTS
+from pydub import AudioSegment
+import cv2
 import gradio as gr
 
-# Define a function that takes image and text inputs and returns a video result
-def process_input(image, text):
-    # Add your processing logic here to generate a video
-    # For simplicity, let's just return a sample video URL
-    video_url = "https://www.example.com/sample_video.mp4"
-    return video_url
-
-# Define the Gradio interface
-iface = gr.Interface(
-    fn=process_input,  # Function to be called with inputs
-    inputs=[
-        gr.Image(type="pil", label="Upload an image"),  # Image input
-        gr.Textbox(label="Enter some text"),  # Text input
-    ],
-    outputs=gr.Video(label="Processed Video"),  # Video output
-    live=True,
-    title="Image and Text to Video Processor",
-)
-
-# Launch the Gradio interface
-iface.launch()
+def text_to_wav(text, file_name):
+    language = 'en'
+    tts = gTTS(text=text, lang=language, slow=False)
+    tts.save(file_name)
+
+def generate_video(input_image, input_text):
+    text_file = "input_audio.wav"
+    video_file = "/path/to/generated_video.mp4"
+
+    text_to_wav(input_text, text_file)
+
+    audio = AudioSegment.from_file(text_file)
+    duration_seconds = len(audio) / 1000.0
+
+    img = cv2.imread(input_image)
+
+    fps = 60
+    video_duration_seconds = round(duration_seconds) * 3
+
+    video = cv2.VideoWriter(video_file, cv2.VideoWriter_fourcc(*'mp4v'), fps, (img.shape[1], img.shape[0]))
+
+    for _ in range(int(fps * video_duration_seconds)):
+        video.write(img)
+
+    video.release()
+
+    return video_file
+
+if __name__ == "__main__":
+    iface = gr.Interface(
+        fn=generate_video,
+        inputs=["image", "text"],
+        outputs="video",
+    )
+
+    iface.launch(share=True)