created app.py

app.py

@@ -0,0 +1,31 @@
+import gradio as gr
+import os
+import requests
+import urllib
+from os import path
+from pydub import AudioSegment
+
+img_to_text = gr.Blocks.load(name="spaces/pharma/CLIP-Interrogator")
+
+def clip_intero_inference(uploaded_image):
+  prompt = img_to_text(uploaded_image, fn_index=1)[0]
+  return music_result
+
+with gr.Blocks() as demo:
+  with gr.Row():
+    #in_newssource =  gr.Dropdown(["Google News", "The Hindu", "Times Of India"], label='Choose a News Outlet')
+    in_image = gr.Image()
+
+  with gr.Row():
+    b1 = gr.Button("Get Positive News")
+    #b2 = gr.Button("Get Negative News")
+
+  with gr.Row():
+    #sample
+    out_prompt = gr.Textbox() #HTML(label="First News Link", show_label=True) 
+    #out_dataframe = gr.Dataframe(wrap=True, datatype = ["str", "str", "markdown", "markdown", "str"])
+    
+  b1.click(fn=clip_intero_inference, inputs=in_image, outputs=out_prompt)
+  #b2.click(fn=inference, inputs=in_newssource, outputs=out_dataframe)
+
+demo.launch(debug=True, show_error=True)