Update app.py

app.py

@@ -1,25 +1,25 @@
-import gradio as gr
-from transformers import pipeline
-from TTS.api import TTS
+# import gradio as gr
+# from transformers import pipeline
+# from TTS.api import TTS
 
-captioner = pipeline(model="microsoft/git-base")
-tts = TTS(model_name="tts_models/multilingual/multi-dataset/your_tts", progress_bar=False, gpu=False)
+# captioner = pipeline(model="microsoft/git-base")
+# tts = TTS(model_name="tts_models/multilingual/multi-dataset/your_tts", progress_bar=False, gpu=False)
 
-def predict(image):
-    text = captioner(image)[0]["generated_text"]
+# def predict(image):
+#     text = captioner(image)[0]["generated_text"]
 
-    audio_output = "output.wav"
-    tts.tts_to_file(text, speaker=tts.speakers[0], language="en", file_path=audio_output)
+#     audio_output = "output.wav"
+#     tts.tts_to_file(text, speaker=tts.speakers[0], language="en", file_path=audio_output)
     
-    return text, audio_output
+#     return text, audio_output
 
-demo = gr.Interface(
-    fn=predict,
-    inputs=gr.Image(type="pil"),
-    outputs=['text', gr.Audio()]
-)
+# demo = gr.Interface(
+#     fn=predict,
+#     inputs=gr.Image(type="pil"),
+#     outputs=['text', gr.Audio()]
+# )
 
-demo.launch()
+# demo.launch()
 
 # gr.Interface.load("models/ronniet/git-base-env").launch()
 # gr.Interface.load("models/microsoft/git-base").launch()