885

README.md

@@ -4,7 +4,7 @@ emoji: 👂
 colorFrom: green
 colorTo: pink
 sdk: gradio
-sdk_version: 5.45.0
+sdk_version: 5.0.1
 app_file: app.py
 pinned: false
 short_description: Generates audio environment from an image

app.py

@@ -26,7 +26,6 @@ def extract_audio(video_in):
     return 'audio.wav'
 
 def get_caption_from_kosmos(image_in):
-    gr.Info("Generating image caption with Kosmos2...")
     kosmos2_client = Client("fffiloni/Kosmos-2-API", hf_token=hf_token)
     kosmos2_result = kosmos2_client.predict(
 		image_input=handle_file(image_in),
@@ -87,7 +86,6 @@ def get_magnet(prompt):
         raise gr.Error("MAGNet space API is not ready, please try again in few minutes ")
 
 def get_audioldm(prompt):
-    gr.Info("Now calling AudioLDM2 for SFX ...")
     try:
         client = Client("fffiloni/audioldm2-text2audio-text2music-API", hf_token=hf_token)
         seed = random.randint(0, MAX_SEED)
@@ -107,21 +105,18 @@ def get_audioldm(prompt):
         raise gr.Error("AudioLDM space API is not ready, please try again in few minutes ")
 
 def get_audiogen(prompt):
-    gr.Info("Now calling AudioGen for SFX ...")
     try: 
-        client = Client("fffiloni/audiogen", hf_token=hf_token)
+        client = Client("https://fffiloni-audiogen.hf.space/")
         result = client.predict(
-                prompt=prompt,
-                duration=10,
-                api_name="/infer"
+            prompt,
+            10,
+            api_name="/infer"
         )
-        print(result)
         return result
     except:
         raise gr.Error("AudioGen space API is not ready, please try again in few minutes ")
 
 def get_tango(prompt):
-    gr.Info("Now calling AudioGen for SFX ...")
     try:
         client = Client("fffiloni/tango", hf_token=hf_token)
         result = client.predict(
@@ -155,7 +150,6 @@ def get_tango2(prompt):
     
 
 def get_stable_audio_open(prompt):
-    gr.Info("Now calling Stable-Audio for SFX ...")
     try:
         client = Client("fffiloni/Stable-Audio-Open-A10", hf_token=hf_token)
         result = client.predict(
@@ -190,20 +184,6 @@ def get_ezaudio(prompt):
         raise gr.Error("EzAudio space API is not ready, please try again in few minutes ")
     
 def infer(image_in, chosen_model):
-    """
-    Generate an audio clip (sound effect) from an input image using the selected generative model.
-    
-    This function first generates a caption from the provided image using a vision-language model.
-    The caption is then used as a text prompt for various audio generation models.
-    
-    Args:
-        image_in (str): File path to the input image. The image will be processed to generate a descriptive caption.
-        chosen_model (str): The name of the audio generation model to use. Supported options include: "AudioLDM-2", "Tango", "Stable Audio Open".
-
-    Returns:
-        str | dict: The path or result object of the generated audio clip, depending on the model used. 
-
-    """
     caption = get_caption_from_kosmos(image_in)
     if chosen_model == "MAGNet" :
         magnet_result = get_magnet(caption)
@@ -251,11 +231,11 @@ with gr.Blocks(css=css) as demo:
                 chosen_model = gr.Dropdown(label="Choose a model", choices=[
                     #"MAGNet", 
                     "AudioLDM-2", 
-                    "AudioGen", 
+                    #"AudioGen", 
                     "Tango", 
-                    #"Tango 2", 
+                    "Tango 2", 
                     "Stable Audio Open", 
-                    #"EzAudio"
+                    "EzAudio"
                 ], value="AudioLDM-2")
                 submit_btn = gr.Button("Submit")
         with gr.Column():
@@ -272,4 +252,4 @@ with gr.Blocks(css=css) as demo:
         outputs=[audio_o],
     )
 
-demo.queue(max_size=10).launch(debug=True, show_error=True, ssr_mode=False, mcp_server=True)
+demo.queue(max_size=10).launch(debug=True, show_error=True)

requirements.txt

@@ -1 +1 @@
-moviepy<2
+moviepy