Create app.py

app.py

@@ -0,0 +1,27 @@
+import gradio as gr
+from transformers import pipeline
+
+
+img_text_pipe = pipeline("image-to-text",
+                model="./models/Salesforce/blip-image-captioning-base")
+
+narrator = pipeline("text-to-speech",
+                    model="./models/kakao-enterprise/vits-ljs")
+
+def describe_image(file_path):
+
+    img_text_pip_output = img_text_pipe(file_path)
+
+    description_text = img_text_pip_output[0]['generated_text']
+
+    narrated_text = narrator(description_text)
+        
+    return narrated_text["audio"][0]
+
+
+iface = gr.Interface(fn=describe_image, 
+                     inputs=gr.Image(label="Input image", 
+                  type="pil"),
+                   outputs="audio"
+                   )
+iface.launch()